Principal Associate, Capital Markets & Risk - Systems Analyst The Treasury Systems & Business Solutions team, a department within Treasury that falls under Capital Markets and Risk organization, consists of business process and system experts who are passionate about creating a simple, well-integrated and intelligent solution that enables superior decision making and best-in-class execution, operations, and risk management for the Treasury department. We are responsible for maintaining Treasury software applications that support both business users and data consumers, while influencing strategic technology decisions. Working back from business imperatives, and internal customer needs, we lead Agile teams to implement new products for Treasury, develop new capabilities, and deliver high quality data. We are looking for a Principal Analyst to work with the team and Agile pod in delivering cloud-based solutions for the overall business intent through close collaboration across internal partners. This role will be responsible for leading the necessary customer interviews and analysis to ground the problems to be solved, running impact analysis, and working with Agile teams to define, test and implement solutions. The Principal Analyst will also be responsible for delivering and ensuring the integrity of all data changed or produced as a result of any new intent delivery. General Responsibilities: Define solutions (requirements, designs, services, recommendations) to business/systems problems Liaison between tech and business SMEs to translate business requirements into highly specified project briefs Partner with consumers, business SMEs, and source system teams to analyze, internalize, and translate business requirements and source data to develop: data requirements for upstream source systems, source to target mapping, data quality requirements, processing requirements (business rules, aggregation, transformation), user acceptance test cases, negative test scenarios Prepare systems analysis documentation/specifications Identify roadblocks to projected timeline and present possible solutions Ensure solution integrity through user acceptance testing (UAT) and finalize disposition of solution for business as usual (BAU) acceptance Responsible for various support functions including assisting core system users, downstream systems issues and responding to internal/external audit requests Responsible for the development, maintenance, management, and delivery of technical information or documentation Own the design of configuration changes needed within Treasury's Cash Management system Quantum Manage inter-team and technology dependencies to mitigate project and product risks Support the Product Owner with prioritization, road map development, and test coordination Basic Qualifications: Bachelor's Degree or military experience At least 4 years of experience working in a business system analysis role At least 3 years of experience with Capital Markets, Treasury, Payments or Cash Management (such as Quantum or other Cash Management tools) or a combination Preferred Qualifications: MBA or Master's degree in Business, Computer Science, Information Systems, or Engineering 3+ years' experience designing and conducting unit testing 3+ years' experience with SQL, Python, or a combination 3+ years' experience of experience in Agile methodologies 1+ year of experience working with AWS At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $131,300 - $149,800 for Principal Analyst, Capital Mkts & Risk Richmond, VA: $119,400 - $136,200 for Principal Analyst, Capital Mkts & Risk Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
06/15/2026
Full time
Principal Associate, Capital Markets & Risk - Systems Analyst The Treasury Systems & Business Solutions team, a department within Treasury that falls under Capital Markets and Risk organization, consists of business process and system experts who are passionate about creating a simple, well-integrated and intelligent solution that enables superior decision making and best-in-class execution, operations, and risk management for the Treasury department. We are responsible for maintaining Treasury software applications that support both business users and data consumers, while influencing strategic technology decisions. Working back from business imperatives, and internal customer needs, we lead Agile teams to implement new products for Treasury, develop new capabilities, and deliver high quality data. We are looking for a Principal Analyst to work with the team and Agile pod in delivering cloud-based solutions for the overall business intent through close collaboration across internal partners. This role will be responsible for leading the necessary customer interviews and analysis to ground the problems to be solved, running impact analysis, and working with Agile teams to define, test and implement solutions. The Principal Analyst will also be responsible for delivering and ensuring the integrity of all data changed or produced as a result of any new intent delivery. General Responsibilities: Define solutions (requirements, designs, services, recommendations) to business/systems problems Liaison between tech and business SMEs to translate business requirements into highly specified project briefs Partner with consumers, business SMEs, and source system teams to analyze, internalize, and translate business requirements and source data to develop: data requirements for upstream source systems, source to target mapping, data quality requirements, processing requirements (business rules, aggregation, transformation), user acceptance test cases, negative test scenarios Prepare systems analysis documentation/specifications Identify roadblocks to projected timeline and present possible solutions Ensure solution integrity through user acceptance testing (UAT) and finalize disposition of solution for business as usual (BAU) acceptance Responsible for various support functions including assisting core system users, downstream systems issues and responding to internal/external audit requests Responsible for the development, maintenance, management, and delivery of technical information or documentation Own the design of configuration changes needed within Treasury's Cash Management system Quantum Manage inter-team and technology dependencies to mitigate project and product risks Support the Product Owner with prioritization, road map development, and test coordination Basic Qualifications: Bachelor's Degree or military experience At least 4 years of experience working in a business system analysis role At least 3 years of experience with Capital Markets, Treasury, Payments or Cash Management (such as Quantum or other Cash Management tools) or a combination Preferred Qualifications: MBA or Master's degree in Business, Computer Science, Information Systems, or Engineering 3+ years' experience designing and conducting unit testing 3+ years' experience with SQL, Python, or a combination 3+ years' experience of experience in Agile methodologies 1+ year of experience working with AWS At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $131,300 - $149,800 for Principal Analyst, Capital Mkts & Risk Richmond, VA: $119,400 - $136,200 for Principal Analyst, Capital Mkts & Risk Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Data Analyst / Data Scientist Description A data analyst or data scientist is responsible for collecting, processing, and analyzing data to support business decisions. This role involves identifying trends, building reports, and presenting insights in a clear and actionable way. Expectations Candidates are expected to work with large datasets, ensure accuracy, meet deadlines, and communicate findings effectively with team members. Requirements Experience with tools such as Excel, SQL, Python, or R is preferred. Knowledge of data visualization tools like Tableau or Power BI is an advantage. Strong analytical and problem-solving skills are required. Work environment This is a fully remote position with flexible scheduling depending on project needs. Work is primarily independent with occasional virtual team collaboration. Good pay This role offers strong earning potential and long-term career growth due to high demand. How to apply Apply by submitting your resume and a cover letter within
06/15/2026
Data Analyst / Data Scientist Description A data analyst or data scientist is responsible for collecting, processing, and analyzing data to support business decisions. This role involves identifying trends, building reports, and presenting insights in a clear and actionable way. Expectations Candidates are expected to work with large datasets, ensure accuracy, meet deadlines, and communicate findings effectively with team members. Requirements Experience with tools such as Excel, SQL, Python, or R is preferred. Knowledge of data visualization tools like Tableau or Power BI is an advantage. Strong analytical and problem-solving skills are required. Work environment This is a fully remote position with flexible scheduling depending on project needs. Work is primarily independent with occasional virtual team collaboration. Good pay This role offers strong earning potential and long-term career growth due to high demand. How to apply Apply by submitting your resume and a cover letter within
Overview The Lead Systems Engineer for High Performance Computing (HPC) and Artificial Intelligence (AI) works as part of the Advanced Systems team within Research Computing that supports the hardware and system-level software on the University's centralized high-performance computing and other computing for research systems. The Lead Systems Engineer is responsible for engaging with faculty, researchers, vendors, and other information technology (IT) staff to specify, design, install, and administer computing for research systems while also providing insight into trends and technologies supporting the advancement of AI research. The Lead Systems Engineer is also expected to be in tune to trends in computational research and will be asked to evaluate, pilot, and implement systems that advance Princeton's HPC and AI technologies enhancing Research Computing services. The Lead Systems Engineer serves as an expert for HPC and AI hardware and software and helps researchers troubleshoot system level problems with software, data, and job submission. This position requires one to work closely with colleagues at all levels of technical understanding in the Office of Information Technology (OIT) and University academic departments to provide timely and creative support for research computing. The Lead Systems Engineer is required to work well on teams and independently, and will be asked to lead initiatives within Advanced Systems, requiring only general supervision. On-call rotation is a mandatory facet of this role, requiring infrequent off-hour and weekend duty. Responsibilities Operations: Design, maintain, troubleshoot, and refine advanced HPC/AI cluster infrastructure including high performance interconnects, cluster schedulers, and configuration management across research systems. Partner with colleagues in Advanced Data and Storage Management to align designs for scratch filesystems and data management with cluster designs. Develop data-transfer pathways and networks to support AI driven computing workloads. Establish and maintain best practices for cluster management and usage to support AI-driven workloads. Develop documentation for users and technical staff that can be used by the larger community. Develop, enhance, and expand monitoring infrastructure and related protocols for research computing systems. Plan and implement scheduled maintenance of operations, including during off hours. Perform other tasks as assigned. Technical Leadership: Define and drive the institutional technical strategy for advanced AI and data intensive HPC. Bring creativity, foresight, and mature professional judgment in anticipating and solving novel and complex problems, in determining project objectives and requirements, and in developing standards and governance for all research computing platforms. Leveraging expertise in AI technologies, identify, evaluate, and pilot researcher-facing systems that enable the acceleration of research using AI. Lead the implementation and expand adoption of modern, automation-driven infrastructure and cluster management practices. Promote institution wide collaboration as the community expert advising and working with faculty, researchers and vendors on emerging trends and challenges in AI enabled research computing. Cultivate a collaborative, knowledge sharing environment by providing technical mentorship to systems specialists and analysts by sharing designs and operational expertise across data systems and HPC/AI infrastructure. Contribute to the strategic vision for HPC/AI systems; Advise senior leadership and stakeholders on strategic investments, risks, and opportunities related to research infrastructure. Troubleshooting and Problem Resolution: Monitor HPC clusters, networks, and storage systems for abnormalities, and resolve issues. Analyze and solve problems in Linux and HPC/AI computing environments with software, data, and job submissions. Use scripting and programming tools to troubleshoot issues. Qualifications Essential Qualifications: 10+ years of strong experience managing advanced research computing systems. Strong expertise with Linux system administration, installation, and troubleshooting. Advanced experience writing scripts in languages such as bash, Python and/or Perl. Proficient in managing networking in HPC environments. Strong experience managing software in an advanced research computing environment. Experience supporting scheduling and managing jobs (SLURM) in large-scale computing environments. Strong oral and written communication skills, with the ability to proactively engage peers and communicate effectively across a diverse stakeholder community. Strong ability to solve complex and system infrastructure problems, and share expertise with colleagues at all levels. Demonstrated ability to collaborate across teams to solve systems and infrastructure challenges, aligning day to day operational needs with longer term technical and organizational goals as technologies evolve. When provided access to personal, proprietary and/or otherwise confidential data, maintain such data in the strictest confidence and follow procedures to ensure the privacy, security, and proper use of data. Education: Bachelors degree in a related field or equivalent experience. Preferred Qualifications: Experience working in an academic and research settings. Experience supporting AI driven research in open and secure computing environments. Familiarity using and administering data-transfer technologies such as Globus that facilitate the transfer of large datasets. Experience using and supporting parallel file systems that are commonly used in HPC/AI systems. Experience supporting unstructured data in HPC/AI environments. Princeton University is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. The University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's qualifications, work experience, education/training, key skills, market, collective bargaining agreements as applicable, and organizational considerations when extending an offer. The posted salary range represents the University's good faith and reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly. If the salary range on the posted position shows an hourly rate, this is the baseline; the actual hourly rate may be higher, depending on the position and factors listed above. The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information. PIb0f5ce9dc5-
06/12/2026
Full time
Overview The Lead Systems Engineer for High Performance Computing (HPC) and Artificial Intelligence (AI) works as part of the Advanced Systems team within Research Computing that supports the hardware and system-level software on the University's centralized high-performance computing and other computing for research systems. The Lead Systems Engineer is responsible for engaging with faculty, researchers, vendors, and other information technology (IT) staff to specify, design, install, and administer computing for research systems while also providing insight into trends and technologies supporting the advancement of AI research. The Lead Systems Engineer is also expected to be in tune to trends in computational research and will be asked to evaluate, pilot, and implement systems that advance Princeton's HPC and AI technologies enhancing Research Computing services. The Lead Systems Engineer serves as an expert for HPC and AI hardware and software and helps researchers troubleshoot system level problems with software, data, and job submission. This position requires one to work closely with colleagues at all levels of technical understanding in the Office of Information Technology (OIT) and University academic departments to provide timely and creative support for research computing. The Lead Systems Engineer is required to work well on teams and independently, and will be asked to lead initiatives within Advanced Systems, requiring only general supervision. On-call rotation is a mandatory facet of this role, requiring infrequent off-hour and weekend duty. Responsibilities Operations: Design, maintain, troubleshoot, and refine advanced HPC/AI cluster infrastructure including high performance interconnects, cluster schedulers, and configuration management across research systems. Partner with colleagues in Advanced Data and Storage Management to align designs for scratch filesystems and data management with cluster designs. Develop data-transfer pathways and networks to support AI driven computing workloads. Establish and maintain best practices for cluster management and usage to support AI-driven workloads. Develop documentation for users and technical staff that can be used by the larger community. Develop, enhance, and expand monitoring infrastructure and related protocols for research computing systems. Plan and implement scheduled maintenance of operations, including during off hours. Perform other tasks as assigned. Technical Leadership: Define and drive the institutional technical strategy for advanced AI and data intensive HPC. Bring creativity, foresight, and mature professional judgment in anticipating and solving novel and complex problems, in determining project objectives and requirements, and in developing standards and governance for all research computing platforms. Leveraging expertise in AI technologies, identify, evaluate, and pilot researcher-facing systems that enable the acceleration of research using AI. Lead the implementation and expand adoption of modern, automation-driven infrastructure and cluster management practices. Promote institution wide collaboration as the community expert advising and working with faculty, researchers and vendors on emerging trends and challenges in AI enabled research computing. Cultivate a collaborative, knowledge sharing environment by providing technical mentorship to systems specialists and analysts by sharing designs and operational expertise across data systems and HPC/AI infrastructure. Contribute to the strategic vision for HPC/AI systems; Advise senior leadership and stakeholders on strategic investments, risks, and opportunities related to research infrastructure. Troubleshooting and Problem Resolution: Monitor HPC clusters, networks, and storage systems for abnormalities, and resolve issues. Analyze and solve problems in Linux and HPC/AI computing environments with software, data, and job submissions. Use scripting and programming tools to troubleshoot issues. Qualifications Essential Qualifications: 10+ years of strong experience managing advanced research computing systems. Strong expertise with Linux system administration, installation, and troubleshooting. Advanced experience writing scripts in languages such as bash, Python and/or Perl. Proficient in managing networking in HPC environments. Strong experience managing software in an advanced research computing environment. Experience supporting scheduling and managing jobs (SLURM) in large-scale computing environments. Strong oral and written communication skills, with the ability to proactively engage peers and communicate effectively across a diverse stakeholder community. Strong ability to solve complex and system infrastructure problems, and share expertise with colleagues at all levels. Demonstrated ability to collaborate across teams to solve systems and infrastructure challenges, aligning day to day operational needs with longer term technical and organizational goals as technologies evolve. When provided access to personal, proprietary and/or otherwise confidential data, maintain such data in the strictest confidence and follow procedures to ensure the privacy, security, and proper use of data. Education: Bachelors degree in a related field or equivalent experience. Preferred Qualifications: Experience working in an academic and research settings. Experience supporting AI driven research in open and secure computing environments. Familiarity using and administering data-transfer technologies such as Globus that facilitate the transfer of large datasets. Experience using and supporting parallel file systems that are commonly used in HPC/AI systems. Experience supporting unstructured data in HPC/AI environments. Princeton University is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. The University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's qualifications, work experience, education/training, key skills, market, collective bargaining agreements as applicable, and organizational considerations when extending an offer. The posted salary range represents the University's good faith and reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly. If the salary range on the posted position shows an hourly rate, this is the baseline; the actual hourly rate may be higher, depending on the position and factors listed above. The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information. PIb0f5ce9dc5-
Date Posted: 2026-05-07 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Top Secret Security Clearance Status: Active and existing security clearance required on day 1 At Raytheon, the foundation of everything we do is rooted in our values and a higher calling to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. Raytheon's Integrated Solutions Modeling and Architecture Directorate (ISMA) performs customer focused operational analysis, simulation, mission planning and architecture development activities. Supporting this mission are teams driving flexible integrated solutions crossing all product areas (sensors, effectors, command and control, logistics and operations), developing tools and methods to evaluate system level studies and visualization based on customer requirements. The Operations and Mission Analysis (Southwest) department is currently seeking a Systems Engineer to support Raytheon's Advanced Technology organization. Join this highly visible team and perform highly technical assignments, directly contributing to protecting our nation and our warfighters. Advanced Technology incubates new and novel technologies and mission areas for the RTX business, captures new programs, and executes extremely unique special projects. The team welcomes you to join our tradition of excellence through innovation and collaboration. This is an onsite role located in Tucson, AZ. What You Will Do You will join a team of engineers and analysts to realize team objectives: Tasking is expected to include a mix of vehicle design and system sizing, mission performance analysis, and trajectory optimization. Analyze notional missions and hardware for feasibility and engage with engineers across disciplines to improve models and understand performance drivers. Develop common mission analysis, performance analysis, and mission planning toolsets for a various portfolio. Utilize grid computing infrastructure to enable generation and analysis of large datasets Produce visualizations of complex systems and mission CONOPs in STK or similar tools. Coordinate with product line management and customers Work closely with programs & AT leadership to develop concepts and mature technologies for new business development and capture. Opportunities to pursue IRAD funding and author intellectual property disclosures. Engage directly in mission planning application software development and testing Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 10 years of prior relevant experience. Depth in at least one system-level or subsystem-level technical domain: Guidance, Navigation, and Control Orbital Mechanics Mission Planning Mission Analysis / Performance Analysis Satellite Technology Multidisciplinary design, System-of-Systems design Experience with programming languages such as Python, MATLAB, and/or C++, and familiarity with both Windows and Linux environments. Experience in one or more of the following skill areas: System performance, CONOPS Algorithms and signal processing Modeling and simulation (i.e., 6-DOF) Active and transferable Top Secret U.S. government issued security clearance is required prior to start date with the ability to obtain special program access after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer Advanced Degree in STEM (and can be considered as additional years of experience) An understanding of vehicle conceptual design, advanced design methods, numerical optimization methods, and data analytics. Experience in building physics-based models and choosing an appropriate fidelity for the questions being asked. Highly self-motivated and independent work ethic. Ability to question data and address root cause issues. Familiarity with Git version control and SLURM grid computing infrastructure. Experience with Ansys STK What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Location: Tucson, AZ: ,-az-location As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 132,400 USD - 251,600 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
06/08/2026
Full time
Date Posted: 2026-05-07 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Top Secret Security Clearance Status: Active and existing security clearance required on day 1 At Raytheon, the foundation of everything we do is rooted in our values and a higher calling to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. Raytheon's Integrated Solutions Modeling and Architecture Directorate (ISMA) performs customer focused operational analysis, simulation, mission planning and architecture development activities. Supporting this mission are teams driving flexible integrated solutions crossing all product areas (sensors, effectors, command and control, logistics and operations), developing tools and methods to evaluate system level studies and visualization based on customer requirements. The Operations and Mission Analysis (Southwest) department is currently seeking a Systems Engineer to support Raytheon's Advanced Technology organization. Join this highly visible team and perform highly technical assignments, directly contributing to protecting our nation and our warfighters. Advanced Technology incubates new and novel technologies and mission areas for the RTX business, captures new programs, and executes extremely unique special projects. The team welcomes you to join our tradition of excellence through innovation and collaboration. This is an onsite role located in Tucson, AZ. What You Will Do You will join a team of engineers and analysts to realize team objectives: Tasking is expected to include a mix of vehicle design and system sizing, mission performance analysis, and trajectory optimization. Analyze notional missions and hardware for feasibility and engage with engineers across disciplines to improve models and understand performance drivers. Develop common mission analysis, performance analysis, and mission planning toolsets for a various portfolio. Utilize grid computing infrastructure to enable generation and analysis of large datasets Produce visualizations of complex systems and mission CONOPs in STK or similar tools. Coordinate with product line management and customers Work closely with programs & AT leadership to develop concepts and mature technologies for new business development and capture. Opportunities to pursue IRAD funding and author intellectual property disclosures. Engage directly in mission planning application software development and testing Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 10 years of prior relevant experience. Depth in at least one system-level or subsystem-level technical domain: Guidance, Navigation, and Control Orbital Mechanics Mission Planning Mission Analysis / Performance Analysis Satellite Technology Multidisciplinary design, System-of-Systems design Experience with programming languages such as Python, MATLAB, and/or C++, and familiarity with both Windows and Linux environments. Experience in one or more of the following skill areas: System performance, CONOPS Algorithms and signal processing Modeling and simulation (i.e., 6-DOF) Active and transferable Top Secret U.S. government issued security clearance is required prior to start date with the ability to obtain special program access after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer Advanced Degree in STEM (and can be considered as additional years of experience) An understanding of vehicle conceptual design, advanced design methods, numerical optimization methods, and data analytics. Experience in building physics-based models and choosing an appropriate fidelity for the questions being asked. Highly self-motivated and independent work ethic. Ability to question data and address root cause issues. Familiarity with Git version control and SLURM grid computing infrastructure. Experience with Ansys STK What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Location: Tucson, AZ: ,-az-location As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 132,400 USD - 251,600 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Technical AnalystBUSINESS TECHNOLOGY & ARCHITECTURE Title: Technical Analyst Supervisor: Director of Business Technology & Architecture Status: Full-Time Exempt Location: Kappa Delta National Headquarters, Memphis, Tennessee onsite 4 days a week Job Summary The Technical Analyst leverages technical expertise and analytical skills to deliver solutions that enhance user experience and increase operational efficiency. Through partnerships with stakeholders, peers, and software vendors, this role provides reliable, scalable solutions that enable effective workflows and ensure end-to-end data accuracy. Through a blend of data literacy, analytical thinking, and technical skills, the Technical Analyst transforms technology requests into actionable technical specifications for development, focusing on connecting data and functionality to unlock valuable business insights. This role is pivotal to maintaining configurations, data integrity, and integrations, and the ongoing evolution of Kappa Delta's software platforms and functional capabilities. Essential Functions Technology Roadmap Execution • Executes the technology roadmap for a set of software functions or features. • Collaborates with peers and stakeholders on a request backlog, prioritizing releases based on business value and technical feasibility. • Develops deep functional and technical understanding of software to identify areas for improvement and innovation. • Participates in all phases of software development, from conceptualization to deployment and maintenance. Technical Solution Design • Partners closely with vendors, peers, and subject matter experts to design solutions utilizing the Kappa Delta technology stack. • Translates business and operational requirements into functional specifications for configuration and development teams to execute. • Collaborates on and follows the Kappa Delta software development playbook to ensure consistent architecture and management across technologies. Technical Execution • Completes configuration and development work as an individual contributor or collaborator based on the project and resources. May lead a vendor project or do independent work. • Completes functional testing and data validation using systems understanding, expert analytical skills, and technical fluency. • Supports peers with cross-software assistance as needed, ensuring consistency in development practices and execution. • Manages integrations between software platforms, ensuring accurate data exchange and workflow reliability. Documentation & Support • Creates and maintains comprehensive software documentation, including process maps, data models, data flows, technical specifications, references, and user manuals. • Supports the user base with issues reported to the Kappa Delta help desk. Requirements • Bachelor's degree in computer science, information systems, or a related field; master's degree preferred. • 5-7 years of experience as a technical analyst, software analyst, quality assurance analyst, or similar technical role. • Working understanding of enterprise platforms, integrations, and connectors such as Salesforce, AWS, Google Workspace, and data visualization tools like Tableau or Domo. • Experience with data modeling, data mapping, data transformation, ETL concepts, or API-based integrations. • Experience with form design, basic logic/workflow building, and user experience design. • Working knowledge of Apex/JavaScript in a Salesforce or similar environment. • Understanding of data types, joins, data flows, and basic statistics. • Ability to use scripting (JavaScript, Python) to support data validation or process automation. • Strong technical literacy and ability to understand complex systems and data flows. • Skill in identifying and articulating technical risks, dependencies, and data inconsistencies. • Ability to think logically about system dependencies and the user impact of technical changes. • Technical requirements management, functional testing, and release management. • Excellent problem-solving and analytical thinking skills. • Exceptional written and verbal communication, especially in technical documentation. • Strong collaboration skills with cross-functional teams. • Strong curiosity and ownership mindset toward improving platform reliability and data integrity. • Experience with sorority or fraternity member experiences is helpful. PI959d3c313c41-8842
01/15/2026
Full time
Technical AnalystBUSINESS TECHNOLOGY & ARCHITECTURE Title: Technical Analyst Supervisor: Director of Business Technology & Architecture Status: Full-Time Exempt Location: Kappa Delta National Headquarters, Memphis, Tennessee onsite 4 days a week Job Summary The Technical Analyst leverages technical expertise and analytical skills to deliver solutions that enhance user experience and increase operational efficiency. Through partnerships with stakeholders, peers, and software vendors, this role provides reliable, scalable solutions that enable effective workflows and ensure end-to-end data accuracy. Through a blend of data literacy, analytical thinking, and technical skills, the Technical Analyst transforms technology requests into actionable technical specifications for development, focusing on connecting data and functionality to unlock valuable business insights. This role is pivotal to maintaining configurations, data integrity, and integrations, and the ongoing evolution of Kappa Delta's software platforms and functional capabilities. Essential Functions Technology Roadmap Execution • Executes the technology roadmap for a set of software functions or features. • Collaborates with peers and stakeholders on a request backlog, prioritizing releases based on business value and technical feasibility. • Develops deep functional and technical understanding of software to identify areas for improvement and innovation. • Participates in all phases of software development, from conceptualization to deployment and maintenance. Technical Solution Design • Partners closely with vendors, peers, and subject matter experts to design solutions utilizing the Kappa Delta technology stack. • Translates business and operational requirements into functional specifications for configuration and development teams to execute. • Collaborates on and follows the Kappa Delta software development playbook to ensure consistent architecture and management across technologies. Technical Execution • Completes configuration and development work as an individual contributor or collaborator based on the project and resources. May lead a vendor project or do independent work. • Completes functional testing and data validation using systems understanding, expert analytical skills, and technical fluency. • Supports peers with cross-software assistance as needed, ensuring consistency in development practices and execution. • Manages integrations between software platforms, ensuring accurate data exchange and workflow reliability. Documentation & Support • Creates and maintains comprehensive software documentation, including process maps, data models, data flows, technical specifications, references, and user manuals. • Supports the user base with issues reported to the Kappa Delta help desk. Requirements • Bachelor's degree in computer science, information systems, or a related field; master's degree preferred. • 5-7 years of experience as a technical analyst, software analyst, quality assurance analyst, or similar technical role. • Working understanding of enterprise platforms, integrations, and connectors such as Salesforce, AWS, Google Workspace, and data visualization tools like Tableau or Domo. • Experience with data modeling, data mapping, data transformation, ETL concepts, or API-based integrations. • Experience with form design, basic logic/workflow building, and user experience design. • Working knowledge of Apex/JavaScript in a Salesforce or similar environment. • Understanding of data types, joins, data flows, and basic statistics. • Ability to use scripting (JavaScript, Python) to support data validation or process automation. • Strong technical literacy and ability to understand complex systems and data flows. • Skill in identifying and articulating technical risks, dependencies, and data inconsistencies. • Ability to think logically about system dependencies and the user impact of technical changes. • Technical requirements management, functional testing, and release management. • Excellent problem-solving and analytical thinking skills. • Exceptional written and verbal communication, especially in technical documentation. • Strong collaboration skills with cross-functional teams. • Strong curiosity and ownership mindset toward improving platform reliability and data integrity. • Experience with sorority or fraternity member experiences is helpful. PI959d3c313c41-8842
Job Duties: Design and build a data warehouse using computingbased data cloud (Snowflake) for machine learning, data analysis, self-serve analytics and reporting needs. Develop Extract, Transform, Load (ETL) pipelines to orchestrate execution of scripts, automate data transformation and loading data into data warehouses. Perform data cleansing, validation, testing and schema design to ensure accuracy and reliability of data insights. Manage and build automated workflows and monitor these pipelines and DAGs (Directed Acyclic Graphs). Identify and work on improvements by automating manual processes to optimize data delivery, re-design infrastructure for more scalability using python & sql. Collaborate with cross-functional teams including data engineers, analysts and data scientists to understand the business logic and needs to create an effective and efficient pipeline and data model. Create ad-hoc report/data visualizations based on user requirements. Participate in ETL flow design reviews and recommend solutions to improve processes. Perform data quality checks and alerting to identify issues and resolve bugs in a timely manner. Participate in source code and design reviews in a software development lifecycle (SDLC) driven environment using technical, functional, and domain knowledge. Identify issues or gaps and suggest improvements to the team processes. Provide support for customer requests for all the products handled by the team. Full-time telecommuting is an option. Minimum Requirements: Masters degree (or its foreign degree equivalent) in Analytics, Data Science, Engineering (any field), or a related quantitative discipline, and six (6) months of experience in the job offered or in any occupation in related field. Special Skill Requirements: 1. Data warehouse design and dimensional modeling 2. Extract, Transform, Load (ETL) 3. SQL 4. Python 5. Data Visualization (Tableau or Power BI) 6. Gitlab 7. Azure 8. PySpark 9. OLAP and OLTP system experience (MySQL Database, Postgres DB, or Snowflake) 10. Machine Learning 11. Data Pipeline - Performance & Scalability Techniques. Any suitable combination of education, training and/or experience is acceptable. Full-time telecommuting is an option. Salary: $177,813.00 - $195,594.00 per annum. Submit resume with references to: Req.# 53.2 at: ATTN: HR,
01/15/2026
Job Duties: Design and build a data warehouse using computingbased data cloud (Snowflake) for machine learning, data analysis, self-serve analytics and reporting needs. Develop Extract, Transform, Load (ETL) pipelines to orchestrate execution of scripts, automate data transformation and loading data into data warehouses. Perform data cleansing, validation, testing and schema design to ensure accuracy and reliability of data insights. Manage and build automated workflows and monitor these pipelines and DAGs (Directed Acyclic Graphs). Identify and work on improvements by automating manual processes to optimize data delivery, re-design infrastructure for more scalability using python & sql. Collaborate with cross-functional teams including data engineers, analysts and data scientists to understand the business logic and needs to create an effective and efficient pipeline and data model. Create ad-hoc report/data visualizations based on user requirements. Participate in ETL flow design reviews and recommend solutions to improve processes. Perform data quality checks and alerting to identify issues and resolve bugs in a timely manner. Participate in source code and design reviews in a software development lifecycle (SDLC) driven environment using technical, functional, and domain knowledge. Identify issues or gaps and suggest improvements to the team processes. Provide support for customer requests for all the products handled by the team. Full-time telecommuting is an option. Minimum Requirements: Masters degree (or its foreign degree equivalent) in Analytics, Data Science, Engineering (any field), or a related quantitative discipline, and six (6) months of experience in the job offered or in any occupation in related field. Special Skill Requirements: 1. Data warehouse design and dimensional modeling 2. Extract, Transform, Load (ETL) 3. SQL 4. Python 5. Data Visualization (Tableau or Power BI) 6. Gitlab 7. Azure 8. PySpark 9. OLAP and OLTP system experience (MySQL Database, Postgres DB, or Snowflake) 10. Machine Learning 11. Data Pipeline - Performance & Scalability Techniques. Any suitable combination of education, training and/or experience is acceptable. Full-time telecommuting is an option. Salary: $177,813.00 - $195,594.00 per annum. Submit resume with references to: Req.# 53.2 at: ATTN: HR,
Requires five (5) years of progressive experience with software quality assurance analysis, including an understanding of the software development life cycle, databases (DB2 and SQL), file structures, system design and analysis, risk analysis, and project management. Requires industry experience and demonstrated ability to write and execute automated scripts, manual tests, and relational database queries. Requires industry experience and demonstrated knowledge of test scripts such as Python, VBScript, and JavaScript. Requires industry experience and demonstrated knowledge of defect management tools. Requires industry experience and demonstrated knowledge of change management tools such as SVN, Git, or related. Requires industry experience and demonstrated ability to follow testing standards. Requires industry experience and demonstrated experience with the review of software requirements, risk analysis, specification documents, and testing procedures. Requires industry experience with (1) Cloud-based testing (2) Data ETL tools; (3) Agile; (4) Software Testing Life Cycle fundamentals; and (5) Advanced-level Microsoft Word, Excel, and Project. U.S. Bachelors Degree or foreign academic equivalent in Computer Science, Information Technology, IT Engineering, or a related technical field, or equivalent experience Please send us your resume via email at candidates (at) placementservicesusa (dot) com with reference . Do not copy and paste your resume in the body email. Please attach it as a Word or PDF document. Thank you.
01/15/2026
Requires five (5) years of progressive experience with software quality assurance analysis, including an understanding of the software development life cycle, databases (DB2 and SQL), file structures, system design and analysis, risk analysis, and project management. Requires industry experience and demonstrated ability to write and execute automated scripts, manual tests, and relational database queries. Requires industry experience and demonstrated knowledge of test scripts such as Python, VBScript, and JavaScript. Requires industry experience and demonstrated knowledge of defect management tools. Requires industry experience and demonstrated knowledge of change management tools such as SVN, Git, or related. Requires industry experience and demonstrated ability to follow testing standards. Requires industry experience and demonstrated experience with the review of software requirements, risk analysis, specification documents, and testing procedures. Requires industry experience with (1) Cloud-based testing (2) Data ETL tools; (3) Agile; (4) Software Testing Life Cycle fundamentals; and (5) Advanced-level Microsoft Word, Excel, and Project. U.S. Bachelors Degree or foreign academic equivalent in Computer Science, Information Technology, IT Engineering, or a related technical field, or equivalent experience Please send us your resume via email at candidates (at) placementservicesusa (dot) com with reference . Do not copy and paste your resume in the body email. Please attach it as a Word or PDF document. Thank you.
Description As a key member of the Information Technology Services team, the Integration Specialist is responsible for supporting the institution's ongoing efforts in system interoperability, digital transformation, and delivering modern user experiences. This role involves designing, developing, and maintaining API and SDK integrations that connect critical campus systems, including student information systems, learning management platforms, enterprise applications, and the institutional data lake. It requires a versatile developer who is comfortable working with various integration development languages, including but not limited to PHP, Python, JSON, and others. The specialist plays a key role in ensuring seamless data exchange, supporting integrations with third-party vendors, and enabling campus departments with dependable and scalable technical solutions. Characteristic Duties and Responsibilities (include, but not limited to) ESSENTIAL DUTIES AND RESPONSIBILITIES This position description should not be interpreted as all inclusive. It is intended to identify the major responsibilities and requirements of the job. The incumbents may be requested to perform job-related responsibilities and tasks other than those stated on this description. Develop, maintain, and optimize API and SDK integrations between institutional systems and external platforms. Collaborate with teams to design scalable, secure, and compliant integration solutions that align with institutional goals. Provide technical guidance and support to internal departments, vendors, and partners integrating with institutional APIs and SDKs. Troubleshoot and resolve integration issues, with a strong emphasis on secure data integrity and continuity of service. Document integration processes, API/SDK functionality, and best practices for both technical and non-technical audiences. Train other IT staff on how to work with APIs and SDKs using the created documentation, promoting internal knowledge sharing and support capabilities. Monitor integration performance and implement improvements for efficiency, reliability, and security. Stay current with higher education technology trends, data privacy standards (e.g., FERPA), and security practices. Work cross-functionally with various campus departments to support integration needs and ensure alignment with institutional goals. Minimum Qualifications REQUIRED KNOWLEDGE, SKILLS, AND ABILITIES: Proficiency in RESTful APIs, GraphQL, Webhooks, and OAuth authentication. Experience developing and maintaining SDKs (e.g., Java, JavaScript, PHP, Python, iOS, Android). Strong programming skills in one or more languages such as PHP, Python, Java, or JavaScript. Experience with API design/testing tools such as Bruno, Postman, and Swagger (OpenAPI). Familiarity with integration platforms, middleware, or API gateways. Excellent analytical, problem-solving, and communication skills. Knowledge of PHP frameworks (e.g., Laravel, Symfony) for API development. Experience supporting integrations with Learning Management Systems (LMS), CRM systems, or Student Information Systems (SIS). Familiarity with data privacy and compliance requirements specific to higher education (e.g., FERPA, accessibility standards). Understanding of CI/CD practices and DevOps workflows related to API and SDK deployment. Knowledge of Python environments, including virtual environments, dependency management, and packaging best practices. Familiarity with AI tools and frameworks, such as machine learning APIs, AI-assisted development tools, or data analytics platforms, and their relevance to higher education. Minimum Requirements Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent combination of education and experience). Minimum 2 years of experience in API/SDK development and integration Experience working with Ellucian products, particularly Banner, in a higher education setting is preferred. Supplemental Information The Systems Integration Analyst position supports the Information Technology, and will remain open until filled. Please note this is an on-site position. SalarySalary will be determined based on relevant experience, and review of internal equity.Application MaterialsAll candidates (both internal and external) must attach a current resume and cover letter to their online job application. Letters of recommendations are welcome, but not required. InterviewsSelected candidates will be invited to an onsite panel interview, TBD.WCTC offers a wide range of outstanding benefits. Benefits include, but not limited to: Competitive compensationComprehensive Benefits Package including health, dental, vision, life, long-term disability, supplemental life, flex spending accounts, and much moreGenerous time off and holiday scheduleEligibility in the Wisconsin Retirement System (ETF)Opportunities for professional growth and development (including tuition reimbursement, tuition waiver)Well-being activities to support personal and professional well-beingCollaborative and supportive team environment Candidates must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available.
01/14/2026
Full time
Description As a key member of the Information Technology Services team, the Integration Specialist is responsible for supporting the institution's ongoing efforts in system interoperability, digital transformation, and delivering modern user experiences. This role involves designing, developing, and maintaining API and SDK integrations that connect critical campus systems, including student information systems, learning management platforms, enterprise applications, and the institutional data lake. It requires a versatile developer who is comfortable working with various integration development languages, including but not limited to PHP, Python, JSON, and others. The specialist plays a key role in ensuring seamless data exchange, supporting integrations with third-party vendors, and enabling campus departments with dependable and scalable technical solutions. Characteristic Duties and Responsibilities (include, but not limited to) ESSENTIAL DUTIES AND RESPONSIBILITIES This position description should not be interpreted as all inclusive. It is intended to identify the major responsibilities and requirements of the job. The incumbents may be requested to perform job-related responsibilities and tasks other than those stated on this description. Develop, maintain, and optimize API and SDK integrations between institutional systems and external platforms. Collaborate with teams to design scalable, secure, and compliant integration solutions that align with institutional goals. Provide technical guidance and support to internal departments, vendors, and partners integrating with institutional APIs and SDKs. Troubleshoot and resolve integration issues, with a strong emphasis on secure data integrity and continuity of service. Document integration processes, API/SDK functionality, and best practices for both technical and non-technical audiences. Train other IT staff on how to work with APIs and SDKs using the created documentation, promoting internal knowledge sharing and support capabilities. Monitor integration performance and implement improvements for efficiency, reliability, and security. Stay current with higher education technology trends, data privacy standards (e.g., FERPA), and security practices. Work cross-functionally with various campus departments to support integration needs and ensure alignment with institutional goals. Minimum Qualifications REQUIRED KNOWLEDGE, SKILLS, AND ABILITIES: Proficiency in RESTful APIs, GraphQL, Webhooks, and OAuth authentication. Experience developing and maintaining SDKs (e.g., Java, JavaScript, PHP, Python, iOS, Android). Strong programming skills in one or more languages such as PHP, Python, Java, or JavaScript. Experience with API design/testing tools such as Bruno, Postman, and Swagger (OpenAPI). Familiarity with integration platforms, middleware, or API gateways. Excellent analytical, problem-solving, and communication skills. Knowledge of PHP frameworks (e.g., Laravel, Symfony) for API development. Experience supporting integrations with Learning Management Systems (LMS), CRM systems, or Student Information Systems (SIS). Familiarity with data privacy and compliance requirements specific to higher education (e.g., FERPA, accessibility standards). Understanding of CI/CD practices and DevOps workflows related to API and SDK deployment. Knowledge of Python environments, including virtual environments, dependency management, and packaging best practices. Familiarity with AI tools and frameworks, such as machine learning APIs, AI-assisted development tools, or data analytics platforms, and their relevance to higher education. Minimum Requirements Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent combination of education and experience). Minimum 2 years of experience in API/SDK development and integration Experience working with Ellucian products, particularly Banner, in a higher education setting is preferred. Supplemental Information The Systems Integration Analyst position supports the Information Technology, and will remain open until filled. Please note this is an on-site position. SalarySalary will be determined based on relevant experience, and review of internal equity.Application MaterialsAll candidates (both internal and external) must attach a current resume and cover letter to their online job application. Letters of recommendations are welcome, but not required. InterviewsSelected candidates will be invited to an onsite panel interview, TBD.WCTC offers a wide range of outstanding benefits. Benefits include, but not limited to: Competitive compensationComprehensive Benefits Package including health, dental, vision, life, long-term disability, supplemental life, flex spending accounts, and much moreGenerous time off and holiday scheduleEligibility in the Wisconsin Retirement System (ETF)Opportunities for professional growth and development (including tuition reimbursement, tuition waiver)Well-being activities to support personal and professional well-beingCollaborative and supportive team environment Candidates must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available.
Data Analyst C/D (The Palliative and Advanced Illness Research Center) University Overview The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023. Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play. The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more. Posted Job Title Data Analyst C/D (The Palliative and Advanced Illness Research Center) Job Profile Title Data Analyst C Job Description Summary The Palliative and Advanced Illness Research Center is seeking two data managers to join a team of data managers and biostatisticians supporting the Center's clinical trials, observational cohort studies, and pilot programs. The data managers will be responsible for deeply understanding PAIR's study protocols and translating that understanding into the creation of appropriately structured analytic files, queries, data collection tools, data pipelines, and external data requests with data use agreements. The data managers must demonstrate a strong knowledge of research concepts and data structures, ideally in the healthcare setting, and communicate effectively and openly with collaborators, internal and external, about technical requirements and study design considerations. These individuals will also be responsible for planning for data acquisition, preservation, and destruction; establishing data use agreements on behalf of the Center; and maintaining complete documentation. The successful candidates must have significant data programming experience in R (preferred) and/or Python, and in SQL; experience with MS Access and SAS are also beneficial. Above all, attention to detail and the ability to clearly and concisely convey nuanced technical information to different audiences (project managers, investigators, technical and non-technical external stakeholders, biostatisticians, other data managers) will be essential to this individual's success in the position. Job Description Job Responsibilities The Palliative and Advanced Illness Research Center is seeking two data managers to join a team of data managers and biostatisticians supporting the Center's clinical trials, observational cohort studies, and pilot programs. The data managers will be responsible for deeply understanding PAIR's study protocols and translating that understanding into the creation of appropriately structured analytic files, queries, data collection tools, data pipelines, and external data requests with data use agreements. The data managers must demonstrate a strong knowledge of research concepts and data structures, ideally in the healthcare setting, and communicate effectively and openly with collaborators, internal and external, about technical requirements and study design considerations. These individuals will also be responsible for planning for data acquisition, preservation, and destruction; establishing data use agreements on behalf of the Center; and maintaining complete documentation. The successful candidates must have significant data programming experience in R (preferred) and/or Python, and in SQL; experience with MS Access and SAS are also beneficial. Above all, attention to detail and the ability to clearly and concisely convey nuanced technical information to different audiences (project managers, investigators, technical and non-technical external stakeholders, biostatisticians, other data managers) will be essential to this individual's success in the position. DUTIES: Write R scripts to assess data quality, generate reports, and prepare analysis-ready datasets. Design, test, and maintain data flows and databases to support study recruitment and data collection. Create and maintain documentation for data resources created. Contribute to the development of organizational systems for programs, data files, queries, and documentation files. Review drafts and provide comments/revisions on data use agreements and develop plans to ensure their compliance. Create flowcharts, summary documents, and other presentation aids to facilitate collective understanding of data-related workflows. Provide training to research coordinators and project managers on data processes. Provide constructive input in study team meetings and PAIR Center-wide discussions. Perform other duties as assigned. Data Analyst D: Applicants with training and experience in querying electronic health record data structures, particularly Epic Clarity, will be considered for the more senior position, which will involve composing and validating complex SQL queries to retrieve health data according to real-life clinical documentation patterns. Familiarity working with data generated from a variety of clinical processes (orders, labs, flowsheet, medications, alerts, episodes, notes, admission-discharge-transfer, appointments, referrals, etc.) will be a significant factor in evaluating candidates. Contingent Upon Funding. Qualifications Required: Experience analyzing complex data. Experience programming in R or Python Experience programming in SQL (or similar from other environments, e.g. SAS PROC SQL) Excellent organizational skills and attention to detail Excellent written and oral communication skills Preferred: Experience with healthcare research and concepts Epic Clarity certifications, especially from the Clinical Data Model track Data Analyst C: Bachelor of Science and 2 to 3 years of experience or equivalent combination of education and experience is required. Master's preferred. Data Analyst D: A bachelor's degree and 3-5 years of experience or equivalent combination of education and experience is required. Master's preferred. Experience with querying electronic health record data structures (e.g., Epic Clarity) Job Location - City, State Philadelphia, Pennsylvania Department / School Perelman School of Medicine Pay Range $61,000.00 - $100,000.00 Annual Rate Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered. Equal Opportunity Statement The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law. Special Requirements Background checks may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job. University Benefits Health, Life, and Flexible Spending Accounts: Penn offers comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits to protect you and your family's health and welfare. You can also use flexible spending accounts to pay for eligible health care and dependent care expenses with pre-tax dollars. Tuition: Take advantage of Penn's exceptional tuition benefits. You, your spouse, and your dependent children can get tuition assistance here at Penn. Your dependent children are also eligible for tuition assistance at other institutions. Retirement: Penn offers generous retirement plans to help you save for your future. Penn's Basic, Matching, and Supplemental retirement plans allow you to save for retirement on a pre-tax or Roth basis. Choose from a wide variety of investment options through TIAA and Vanguard. Time Away from Work: Penn provides you with a substantial amount of time away from work during the course of the year. This allows you to relax, take vacations, attend to personal affairs, recover from illness or injury, spend time with family-whatever your personal needs may be. Long-Term Care Insurance: In partnership with Genworth Financial . click apply for full job details
01/14/2026
Full time
Data Analyst C/D (The Palliative and Advanced Illness Research Center) University Overview The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023. Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play. The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more. Posted Job Title Data Analyst C/D (The Palliative and Advanced Illness Research Center) Job Profile Title Data Analyst C Job Description Summary The Palliative and Advanced Illness Research Center is seeking two data managers to join a team of data managers and biostatisticians supporting the Center's clinical trials, observational cohort studies, and pilot programs. The data managers will be responsible for deeply understanding PAIR's study protocols and translating that understanding into the creation of appropriately structured analytic files, queries, data collection tools, data pipelines, and external data requests with data use agreements. The data managers must demonstrate a strong knowledge of research concepts and data structures, ideally in the healthcare setting, and communicate effectively and openly with collaborators, internal and external, about technical requirements and study design considerations. These individuals will also be responsible for planning for data acquisition, preservation, and destruction; establishing data use agreements on behalf of the Center; and maintaining complete documentation. The successful candidates must have significant data programming experience in R (preferred) and/or Python, and in SQL; experience with MS Access and SAS are also beneficial. Above all, attention to detail and the ability to clearly and concisely convey nuanced technical information to different audiences (project managers, investigators, technical and non-technical external stakeholders, biostatisticians, other data managers) will be essential to this individual's success in the position. Job Description Job Responsibilities The Palliative and Advanced Illness Research Center is seeking two data managers to join a team of data managers and biostatisticians supporting the Center's clinical trials, observational cohort studies, and pilot programs. The data managers will be responsible for deeply understanding PAIR's study protocols and translating that understanding into the creation of appropriately structured analytic files, queries, data collection tools, data pipelines, and external data requests with data use agreements. The data managers must demonstrate a strong knowledge of research concepts and data structures, ideally in the healthcare setting, and communicate effectively and openly with collaborators, internal and external, about technical requirements and study design considerations. These individuals will also be responsible for planning for data acquisition, preservation, and destruction; establishing data use agreements on behalf of the Center; and maintaining complete documentation. The successful candidates must have significant data programming experience in R (preferred) and/or Python, and in SQL; experience with MS Access and SAS are also beneficial. Above all, attention to detail and the ability to clearly and concisely convey nuanced technical information to different audiences (project managers, investigators, technical and non-technical external stakeholders, biostatisticians, other data managers) will be essential to this individual's success in the position. DUTIES: Write R scripts to assess data quality, generate reports, and prepare analysis-ready datasets. Design, test, and maintain data flows and databases to support study recruitment and data collection. Create and maintain documentation for data resources created. Contribute to the development of organizational systems for programs, data files, queries, and documentation files. Review drafts and provide comments/revisions on data use agreements and develop plans to ensure their compliance. Create flowcharts, summary documents, and other presentation aids to facilitate collective understanding of data-related workflows. Provide training to research coordinators and project managers on data processes. Provide constructive input in study team meetings and PAIR Center-wide discussions. Perform other duties as assigned. Data Analyst D: Applicants with training and experience in querying electronic health record data structures, particularly Epic Clarity, will be considered for the more senior position, which will involve composing and validating complex SQL queries to retrieve health data according to real-life clinical documentation patterns. Familiarity working with data generated from a variety of clinical processes (orders, labs, flowsheet, medications, alerts, episodes, notes, admission-discharge-transfer, appointments, referrals, etc.) will be a significant factor in evaluating candidates. Contingent Upon Funding. Qualifications Required: Experience analyzing complex data. Experience programming in R or Python Experience programming in SQL (or similar from other environments, e.g. SAS PROC SQL) Excellent organizational skills and attention to detail Excellent written and oral communication skills Preferred: Experience with healthcare research and concepts Epic Clarity certifications, especially from the Clinical Data Model track Data Analyst C: Bachelor of Science and 2 to 3 years of experience or equivalent combination of education and experience is required. Master's preferred. Data Analyst D: A bachelor's degree and 3-5 years of experience or equivalent combination of education and experience is required. Master's preferred. Experience with querying electronic health record data structures (e.g., Epic Clarity) Job Location - City, State Philadelphia, Pennsylvania Department / School Perelman School of Medicine Pay Range $61,000.00 - $100,000.00 Annual Rate Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered. Equal Opportunity Statement The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law. Special Requirements Background checks may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job. University Benefits Health, Life, and Flexible Spending Accounts: Penn offers comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits to protect you and your family's health and welfare. You can also use flexible spending accounts to pay for eligible health care and dependent care expenses with pre-tax dollars. Tuition: Take advantage of Penn's exceptional tuition benefits. You, your spouse, and your dependent children can get tuition assistance here at Penn. Your dependent children are also eligible for tuition assistance at other institutions. Retirement: Penn offers generous retirement plans to help you save for your future. Penn's Basic, Matching, and Supplemental retirement plans allow you to save for retirement on a pre-tax or Roth basis. Choose from a wide variety of investment options through TIAA and Vanguard. Time Away from Work: Penn provides you with a substantial amount of time away from work during the course of the year. This allows you to relax, take vacations, attend to personal affairs, recover from illness or injury, spend time with family-whatever your personal needs may be. Long-Term Care Insurance: In partnership with Genworth Financial . click apply for full job details
Category:: Professional Subscribe:: Department:: Information Technology Services Locations:: Binghamton, NY Posted:: Jul 23, 2025 Closes:: Open Until Filled Type:: Full-time Ref. No.:: 00340 Position ID:: 190352 About Binghamton University: Binghamton University is a premier public R1 research institution in the State University of New York (SUNY) system that unites more than 130 broadly interdisciplinary educational programs with some of the most vibrant research in the nation. Our unique character - shaped by our mission, outstanding academics, facilities, and community life - promotes extraordinary student success, research, and service; Binghamton University is where our students, faculty and staff thrive. Working at Binghamton University is more than about having a great job - it is about having the opportunity to flourish in an exciting, engaging environment. Our faculty and staff appreciate Binghamton's collegial and inclusive culture and its commitment to excellence, education, innovation and civic engagement. Our diverse campus community contributes to our success. Binghamton merges rigorous academics, distinguished faculty who value cutting-edge, and community-engaged research, teaching and service, exceptional staff, and ultramodern facilities to engage and challenge its 18,000+ students. Our high-achieving student body represents diverse experiences from first-generation college-goers to international students. Beyond their talent, these classmates share a desire to shape the future through technology, insight, intellectual exploration, and community service. We are an affirmative action/equal opportunity employer, and in keeping with this commitment, we welcome all to apply, including veterans and persons with disabilities. Job Description: Budget Title: Lead Programmer Analyst (SL-3) Salary: Commensurate with qualifications and experience The Linux Systems Administrator is a technical team member responsible for developing and advancing Binghamton University's enterprise systems in the Information Technology Services Department. Reporting to the Associate Director of Enterprise Systems, the Linux Systems Administrator position serves as a technical resource, working with the other Systems Administrators to develop, support, and maintain services and integrations with various Linux and Windows based systems/servers across the university. The Systems team identifies and builds solutions that are reliable, scalable, and based on proven technologies by vendors such as Oracle, Microsoft, VMWare, RedHat and many others. Responsibilities include: Perform complex analytical, programming, and other maintenance activities associated with supporting various systems, services, and interfaces. Install, configure, and maintain the University's Linux environments, including designing the architecture of the system, installing databases, and creating scripts for specific application use cases. Perform routine system maintenance, resolve server-side issues as they arise, create system back-ups, monitor performance, and maintain system level security. Assist, investigate, and become familiar with emerging technologies with the intent of implementation and act as a resource for developing standards for these technologies. Work with the Associate Director, team members, project leaders, managers, and other departments on technical designs and consultations. Assist in maintaining and reviewing a centrally located repository of documentation. Documentation should describe the infrastructure and architecture of the systems, program development, logic, coding, testing, changes, modifications, and execution instructions necessary for operations. Help support the University's server, storage and data infrastructure. Able to interpret and apply technical configuration specifications for servers, server operating systems, networked data storage, and disaster recovery systems. Provide technical support and guidance to functional areas and end-users as needed. Other department-specific applications and activities as assigned. Possess a demonstrated ability to work in a team environment, and the ability to deal with ambiguity in a changing business environment. Requirements: Associate degree in Computer Science, Information Systems/Sciences, or a related field At least two years of relevant experience in building, integrating, and maintaining Linux systems infrastructure, with demonstrated proficiency in systems and server administration Understanding of system development principles, development processes, and requirements gathering Experience working with enterprise information systems, file servers, networked data storage, application software, and disaster recovery tools Ability to interpret and apply technical configuration specifications for servers, server operating systems, networked data storage, and disaster recovery systems Familiarity with UNIX and Linux shell scripting Well-developed analytical and problem-solving abilities Clear, organized approach to creating and maintaining documentation Effective interpersonal and communication skills, with a demonstrated ability to collaborate in team-based environments. Comfortable working through ambiguity and change in evolving work settings Position Preferences: Bachelor's degree in computer science, information systems/sciences, or a related field Knowledge of computer hardware, software, programming languages, analysis, and educational systems Ability to understand and/or use languages and tools such as C, Java, PHP, PL/SQL, Python, and AD/LDAP Experience working with containers (e.g. Docker), virtualization (e.g. VMWare ESXi) and databases (e.g. Oracle) Experience with automation (e.g. Ansible), observability (e.g. Prometheus, Grafana) and configuration management tools Experience with cloud hosting providers such as AWS, Azure, etc. Familiarity with Windows Powershell scripting Experience with Windows server administration is a plus Visa sponsorship is not available for this position Additional Information: Offers of employment may be contingent upon successful completion of a pre-employment background check and verification of degree(s) and credentials. Binghamton University is a tobacco-free campus. Pursuant to Executive Order 161, no State entity, as defined by the Executive Order, is permitted to ask, or mandate, in any form, that an applicant for employment provide his or her current compensation, or any prior compensation history, until such time as the applicant is extended a conditional offer of employment with compensation. If such information has been requested from you before such time, please contact the Governor's Office of Employee Relations at or via email at Payroll information can be found on our website Cover letters may be addressed "To the Search Committee." Postings active on the website, accept applications until closure. For information on the Dual Career Program, please visit: Equal Opportunity/Affirmative Action Employer The State University of New York is an Equal Opportunity/Affirmative Action Employer. It is the policy of Binghamton University to provide for and promote equal opportunity employment, compensation, and other terms and conditions of employment without discrimination on the basis of age, race, color, religion, disability, national origin, gender identity or expression, sexual orientation, veteran or military service member status, marital status, domestic violence victim status, genetic predisposition or carrier status, or arrest and/or criminal conviction record unless based upon a bona fide occupational qualification or other exception. As required by Title IX and its implementing regulations Binghamton University does not discriminate on the basis of sex in the educational programs and activities which it operates. This requirement extends to employment and admission. Inquiries about sex discrimination may be directed to the University Title IX Coordinator or directly to the Office of Civil Rights (OCR). Contact information for the Title IX Coordinator and OCR, as well as the University's complete Non-Discrimination Notice may be found here . Binghamton University is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation to participate in the job application or interview process, contact: Ada Robinson-Perez, ADA Coordinator email: or . Application Instructions: All applicants must apply via Interview Exchange: Deadline for Internal Applicants: August 6, 2025 Deadline for External Applicants: Open until filled Review of applications will begin immediately and continue until the vacancy is filled. Please submit: Resume, Cover letter, and Contact information for three professional references You may add additional files/documents after uploading your resume. After you fill out your contact information . click apply for full job details
01/14/2026
Full time
Category:: Professional Subscribe:: Department:: Information Technology Services Locations:: Binghamton, NY Posted:: Jul 23, 2025 Closes:: Open Until Filled Type:: Full-time Ref. No.:: 00340 Position ID:: 190352 About Binghamton University: Binghamton University is a premier public R1 research institution in the State University of New York (SUNY) system that unites more than 130 broadly interdisciplinary educational programs with some of the most vibrant research in the nation. Our unique character - shaped by our mission, outstanding academics, facilities, and community life - promotes extraordinary student success, research, and service; Binghamton University is where our students, faculty and staff thrive. Working at Binghamton University is more than about having a great job - it is about having the opportunity to flourish in an exciting, engaging environment. Our faculty and staff appreciate Binghamton's collegial and inclusive culture and its commitment to excellence, education, innovation and civic engagement. Our diverse campus community contributes to our success. Binghamton merges rigorous academics, distinguished faculty who value cutting-edge, and community-engaged research, teaching and service, exceptional staff, and ultramodern facilities to engage and challenge its 18,000+ students. Our high-achieving student body represents diverse experiences from first-generation college-goers to international students. Beyond their talent, these classmates share a desire to shape the future through technology, insight, intellectual exploration, and community service. We are an affirmative action/equal opportunity employer, and in keeping with this commitment, we welcome all to apply, including veterans and persons with disabilities. Job Description: Budget Title: Lead Programmer Analyst (SL-3) Salary: Commensurate with qualifications and experience The Linux Systems Administrator is a technical team member responsible for developing and advancing Binghamton University's enterprise systems in the Information Technology Services Department. Reporting to the Associate Director of Enterprise Systems, the Linux Systems Administrator position serves as a technical resource, working with the other Systems Administrators to develop, support, and maintain services and integrations with various Linux and Windows based systems/servers across the university. The Systems team identifies and builds solutions that are reliable, scalable, and based on proven technologies by vendors such as Oracle, Microsoft, VMWare, RedHat and many others. Responsibilities include: Perform complex analytical, programming, and other maintenance activities associated with supporting various systems, services, and interfaces. Install, configure, and maintain the University's Linux environments, including designing the architecture of the system, installing databases, and creating scripts for specific application use cases. Perform routine system maintenance, resolve server-side issues as they arise, create system back-ups, monitor performance, and maintain system level security. Assist, investigate, and become familiar with emerging technologies with the intent of implementation and act as a resource for developing standards for these technologies. Work with the Associate Director, team members, project leaders, managers, and other departments on technical designs and consultations. Assist in maintaining and reviewing a centrally located repository of documentation. Documentation should describe the infrastructure and architecture of the systems, program development, logic, coding, testing, changes, modifications, and execution instructions necessary for operations. Help support the University's server, storage and data infrastructure. Able to interpret and apply technical configuration specifications for servers, server operating systems, networked data storage, and disaster recovery systems. Provide technical support and guidance to functional areas and end-users as needed. Other department-specific applications and activities as assigned. Possess a demonstrated ability to work in a team environment, and the ability to deal with ambiguity in a changing business environment. Requirements: Associate degree in Computer Science, Information Systems/Sciences, or a related field At least two years of relevant experience in building, integrating, and maintaining Linux systems infrastructure, with demonstrated proficiency in systems and server administration Understanding of system development principles, development processes, and requirements gathering Experience working with enterprise information systems, file servers, networked data storage, application software, and disaster recovery tools Ability to interpret and apply technical configuration specifications for servers, server operating systems, networked data storage, and disaster recovery systems Familiarity with UNIX and Linux shell scripting Well-developed analytical and problem-solving abilities Clear, organized approach to creating and maintaining documentation Effective interpersonal and communication skills, with a demonstrated ability to collaborate in team-based environments. Comfortable working through ambiguity and change in evolving work settings Position Preferences: Bachelor's degree in computer science, information systems/sciences, or a related field Knowledge of computer hardware, software, programming languages, analysis, and educational systems Ability to understand and/or use languages and tools such as C, Java, PHP, PL/SQL, Python, and AD/LDAP Experience working with containers (e.g. Docker), virtualization (e.g. VMWare ESXi) and databases (e.g. Oracle) Experience with automation (e.g. Ansible), observability (e.g. Prometheus, Grafana) and configuration management tools Experience with cloud hosting providers such as AWS, Azure, etc. Familiarity with Windows Powershell scripting Experience with Windows server administration is a plus Visa sponsorship is not available for this position Additional Information: Offers of employment may be contingent upon successful completion of a pre-employment background check and verification of degree(s) and credentials. Binghamton University is a tobacco-free campus. Pursuant to Executive Order 161, no State entity, as defined by the Executive Order, is permitted to ask, or mandate, in any form, that an applicant for employment provide his or her current compensation, or any prior compensation history, until such time as the applicant is extended a conditional offer of employment with compensation. If such information has been requested from you before such time, please contact the Governor's Office of Employee Relations at or via email at Payroll information can be found on our website Cover letters may be addressed "To the Search Committee." Postings active on the website, accept applications until closure. For information on the Dual Career Program, please visit: Equal Opportunity/Affirmative Action Employer The State University of New York is an Equal Opportunity/Affirmative Action Employer. It is the policy of Binghamton University to provide for and promote equal opportunity employment, compensation, and other terms and conditions of employment without discrimination on the basis of age, race, color, religion, disability, national origin, gender identity or expression, sexual orientation, veteran or military service member status, marital status, domestic violence victim status, genetic predisposition or carrier status, or arrest and/or criminal conviction record unless based upon a bona fide occupational qualification or other exception. As required by Title IX and its implementing regulations Binghamton University does not discriminate on the basis of sex in the educational programs and activities which it operates. This requirement extends to employment and admission. Inquiries about sex discrimination may be directed to the University Title IX Coordinator or directly to the Office of Civil Rights (OCR). Contact information for the Title IX Coordinator and OCR, as well as the University's complete Non-Discrimination Notice may be found here . Binghamton University is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation to participate in the job application or interview process, contact: Ada Robinson-Perez, ADA Coordinator email: or . Application Instructions: All applicants must apply via Interview Exchange: Deadline for Internal Applicants: August 6, 2025 Deadline for External Applicants: Open until filled Review of applications will begin immediately and continue until the vacancy is filled. Please submit: Resume, Cover letter, and Contact information for three professional references You may add additional files/documents after uploading your resume. After you fill out your contact information . click apply for full job details
Job Title: Systems Analyst Lead Location: Atlanta, Georgia Regular/Temporary: Regular Full/Part Time: Full-Time Job ID: 292733 About Us Overview Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers. About Georgia Tech Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school. Georgia Tech's Mission and Values Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do: 1. Students are our top priority. 2. We strive for excellence. 3. We thrive on diversity. 4. We celebrate collaboration. 5. We champion innovation. 6. We safeguard freedom of inquiry and expression. 7. We nurture the wellbeing of our community. 8. We act ethically. 9. We are responsible stewards. Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact. About the School/Department at Georgia Institute of Technology The College of Lifetime Learning is unique in its dual mission to assist individuals in preparing and adapting throughout their lives and cultivate future leaders in lifetime learning who will make a positive impact on education, communities, and business. Launched on September 5, 2024, the College comprises three core units the Center for 21st Century Universities (C21U), the Center for Education Integrating Science, Mathematics, and Computing (CEISMC), and Georgia Tech Professional Education (GTPE.) We are also at the Georgia Tech Savannah campus, where programs are designed to help Georgia's coastal region grow and excel. The College will grant undergraduate and graduate degrees and offer non-credit credentials. The academic programs will integrate research findings from those engaged in the College s work. These programs will be at the intersection of: technology and its application to enhance, improve, and make learning accessible; learning sciences as we incorporate how people relate to and utilize technology; and business/policy models that interrogate and expand formal education structures. We are committed to using education, research, and services to address education and learning access challenges. To transform the learning ecosystem, we seek to study the learning process throughout a person's lifetime as it is impacted by technology, economics, policy, geography, and the rapidly changing workforce. The College of Lifetime Learning strives to enable quality education that is accessible, affordable, transformational, and achievable for learners at all stages of life. Location Atlanta, GA Job Summary Systems Analysts are responsible for evaluating and improving the institution's information systems to meet the needs of users and enhance operational efficiency. This role involves gathering requirements, analyzing processes, and collaborating with stakeholders to implement effective technological solutions. Responsibilities Job Duty 1 - Gather and analyze requirements from stakeholders to understand their needs and identify opportunities for improving information systems within the institution. Job Duty 2 - Evaluate existing systems and processes, documenting findings and providing recommendations for enhancements to increase efficiency and effectiveness. Job Duty 3 - Conduct testing and validation of new systems or updates to ensure they meet specified requirements and function as intended. Job Duty 4 - Provide training and support to end-users on new systems and processes, facilitating a smooth transition and promoting user adoption. Job Duty 5 - Develop and maintain documentation related to system specifications, processes, and user guides to ensure clarity and accessibility for stakeholders. Job Duty 6 - Monitor system performance and user feedback, identifying areas for improvement and working with teams to implement necessary changes. Job Duty 7 - Stay informed about industry trends and emerging technologies, evaluating their potential impact and relevance to the institution's needs. Job Duty 8 - Collaborate with technical teams to design and implement new systems or modifications, ensuring alignment with user requirements and institutional goals. Job Duty 9 - Collaborate with project managers and other team members to ensure that technology initiatives are completed on time and within budget. Job Duty 10 - Perform other job-related duties as assigned Required Qualifications Educational Requirements Bachelor's Degree in a related discipline or equivalent combination of education and experience. Required Experience Six or more years of relevant experience. Preferred Qualifications Additional Preferred Qualifications Technical leadership skills Preferred Educational Qualifications Master's Degree in a related discipline or equivalent. Preferred Qualifications Additional Preferred Qualifications Technical leadership skills Master's Degree in a related discipline or equivalent Hands-On Experience Using no-code/low-code tools (like Power Automate, Zapier, and Mulesoft) to automate enterprise workflows Scripting for advanced data operations (e.g., complex extraction, transformation, and automation) using PowerShell or Python Leading requirements sessions with real-time visual modeling and diagramming. Enhancing platform-level applications through strategic reconfiguration, scripting, and performance tuning (e.g., M365 tenant applications SharePoint/Teams/Bookings, EMS, Tableau, Lucidlink, MediaValet, ClickUp, Intune, ) Integrating cloud hosted applications and storage solutions (Azure, AWS) Hands-On Process & Methodologies Security awareness: Identity & access management, data governance Modeling techniques: Architecture, business process, data flow, UML, BPMN, RAD Software Development Lifecycle: Agile, CI/CD, DevOps Service Delivery frameworks: ITSM, ITIL Project management methodologies: PMP Technical Proficiencies Microsoft Power Automate, PowerApps Microsoft SharePoint/Teams (modern sites, tenant-level admin) PowerShell, Python, Javascript HTML, CSS, JSON Restful APIs Durable/Soft Skills Strong visual communication and modeling skills Highly-structured, process-oriented work habits Continuous improvement mindset Skilled presenter with experience in group training and executive briefings Experience working in university or higher education environments Proposed Salary Salary range: $90,979 (Min) - $132,784(Max) Knowledge, Skills, & Abilities SKILLS This job requires advanced knowledge of complex concepts, practices and procedures associated with IT systems design, installation and maintenance. Expert knowledge in variety of applications and platforms is required. USG Core Values The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at . Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at . click apply for full job details
01/14/2026
Full time
Job Title: Systems Analyst Lead Location: Atlanta, Georgia Regular/Temporary: Regular Full/Part Time: Full-Time Job ID: 292733 About Us Overview Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers. About Georgia Tech Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school. Georgia Tech's Mission and Values Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do: 1. Students are our top priority. 2. We strive for excellence. 3. We thrive on diversity. 4. We celebrate collaboration. 5. We champion innovation. 6. We safeguard freedom of inquiry and expression. 7. We nurture the wellbeing of our community. 8. We act ethically. 9. We are responsible stewards. Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact. About the School/Department at Georgia Institute of Technology The College of Lifetime Learning is unique in its dual mission to assist individuals in preparing and adapting throughout their lives and cultivate future leaders in lifetime learning who will make a positive impact on education, communities, and business. Launched on September 5, 2024, the College comprises three core units the Center for 21st Century Universities (C21U), the Center for Education Integrating Science, Mathematics, and Computing (CEISMC), and Georgia Tech Professional Education (GTPE.) We are also at the Georgia Tech Savannah campus, where programs are designed to help Georgia's coastal region grow and excel. The College will grant undergraduate and graduate degrees and offer non-credit credentials. The academic programs will integrate research findings from those engaged in the College s work. These programs will be at the intersection of: technology and its application to enhance, improve, and make learning accessible; learning sciences as we incorporate how people relate to and utilize technology; and business/policy models that interrogate and expand formal education structures. We are committed to using education, research, and services to address education and learning access challenges. To transform the learning ecosystem, we seek to study the learning process throughout a person's lifetime as it is impacted by technology, economics, policy, geography, and the rapidly changing workforce. The College of Lifetime Learning strives to enable quality education that is accessible, affordable, transformational, and achievable for learners at all stages of life. Location Atlanta, GA Job Summary Systems Analysts are responsible for evaluating and improving the institution's information systems to meet the needs of users and enhance operational efficiency. This role involves gathering requirements, analyzing processes, and collaborating with stakeholders to implement effective technological solutions. Responsibilities Job Duty 1 - Gather and analyze requirements from stakeholders to understand their needs and identify opportunities for improving information systems within the institution. Job Duty 2 - Evaluate existing systems and processes, documenting findings and providing recommendations for enhancements to increase efficiency and effectiveness. Job Duty 3 - Conduct testing and validation of new systems or updates to ensure they meet specified requirements and function as intended. Job Duty 4 - Provide training and support to end-users on new systems and processes, facilitating a smooth transition and promoting user adoption. Job Duty 5 - Develop and maintain documentation related to system specifications, processes, and user guides to ensure clarity and accessibility for stakeholders. Job Duty 6 - Monitor system performance and user feedback, identifying areas for improvement and working with teams to implement necessary changes. Job Duty 7 - Stay informed about industry trends and emerging technologies, evaluating their potential impact and relevance to the institution's needs. Job Duty 8 - Collaborate with technical teams to design and implement new systems or modifications, ensuring alignment with user requirements and institutional goals. Job Duty 9 - Collaborate with project managers and other team members to ensure that technology initiatives are completed on time and within budget. Job Duty 10 - Perform other job-related duties as assigned Required Qualifications Educational Requirements Bachelor's Degree in a related discipline or equivalent combination of education and experience. Required Experience Six or more years of relevant experience. Preferred Qualifications Additional Preferred Qualifications Technical leadership skills Preferred Educational Qualifications Master's Degree in a related discipline or equivalent. Preferred Qualifications Additional Preferred Qualifications Technical leadership skills Master's Degree in a related discipline or equivalent Hands-On Experience Using no-code/low-code tools (like Power Automate, Zapier, and Mulesoft) to automate enterprise workflows Scripting for advanced data operations (e.g., complex extraction, transformation, and automation) using PowerShell or Python Leading requirements sessions with real-time visual modeling and diagramming. Enhancing platform-level applications through strategic reconfiguration, scripting, and performance tuning (e.g., M365 tenant applications SharePoint/Teams/Bookings, EMS, Tableau, Lucidlink, MediaValet, ClickUp, Intune, ) Integrating cloud hosted applications and storage solutions (Azure, AWS) Hands-On Process & Methodologies Security awareness: Identity & access management, data governance Modeling techniques: Architecture, business process, data flow, UML, BPMN, RAD Software Development Lifecycle: Agile, CI/CD, DevOps Service Delivery frameworks: ITSM, ITIL Project management methodologies: PMP Technical Proficiencies Microsoft Power Automate, PowerApps Microsoft SharePoint/Teams (modern sites, tenant-level admin) PowerShell, Python, Javascript HTML, CSS, JSON Restful APIs Durable/Soft Skills Strong visual communication and modeling skills Highly-structured, process-oriented work habits Continuous improvement mindset Skilled presenter with experience in group training and executive briefings Experience working in university or higher education environments Proposed Salary Salary range: $90,979 (Min) - $132,784(Max) Knowledge, Skills, & Abilities SKILLS This job requires advanced knowledge of complex concepts, practices and procedures associated with IT systems design, installation and maintenance. Expert knowledge in variety of applications and platforms is required. USG Core Values The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at . Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at . click apply for full job details
Senior Data Scientist - Genetics University Overview The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023. Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play. The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more. Posted Job Title Senior Data Scientist - Genetics Job Profile Title Job Description Summary The UPenn department of genetics is seeking a Senior Data Scientist for clinical genomic pipeline design and implementation. Job Description The successful candidate will be working with a broad team of quantitative analysts, including Statisticians, Data Scientists, Clinical and Basic trainees, and other bioinformaticians. Their role will involve developing and implementing new quantitative strategies to improve our understanding and ability to diagnose genetic disorders through a large-scale genomic clinically grade testing. Senior Data Scientists are passionate about applying their knowledge of biology and of methods for molecular, cellular or radiologic data-analysis to uncover general principles of genetic disorders and use these to create clinically useful biomarkers. They will develop, extend and apply computational pipelines for data-analysis to patient cohorts ranging from tens of individuals to hundreds of thousands. These will be executed at scale via distributed software solutions on both local HPC and cloud-based assets. Our datasets comprise petabytes, and are growing rapidly, linked to key clinical endpoints. This requires a strong background in biology to help ensure the right questions are asked, but linked to strong technical and personal communication skills, to help ensure insights are broadly adopted and appropriate analyses are performed. You may work with molecular (WGS, panel-sequencing, RNA-Seq, proteomic) or imaging (digital pathology, radiomic) data, and practical experience in one of these two areas is essential. Beyond your strong inter-personal skills and computer science background, you will have experience with implementation skills at least one of R, Perl or Python. You will be comfortable in UNIX/Linux environments and producing well-documented code. Multi-year experience (>10years) with cloud-computing or HPC is essential. Master of Science and 1 to 2 years of experience, or an equivalent combination of education and experience required. Ph.D. preferred. This position is contingent upon grant funding. Job Location - City, State Philadelphia, Pennsylvania Department / School Perelman School of Medicine Pay Range $100,000.00 - $160,000.00 Annual Rate Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered. Equal Opportunity Statement The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law. Special Requirements Background checks may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job. University Benefits Health, Life, and Flexible Spending Accounts: Penn offers comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits to protect you and your family's health and welfare. You can also use flexible spending accounts to pay for eligible health care and dependent care expenses with pre-tax dollars. Tuition: Take advantage of Penn's exceptional tuition benefits. You, your spouse, and your dependent children can get tuition assistance here at Penn. Your dependent children are also eligible for tuition assistance at other institutions. Retirement: Penn offers generous retirement plans to help you save for your future. Penn's Basic, Matching, and Supplemental retirement plans allow you to save for retirement on a pre-tax or Roth basis. Choose from a wide variety of investment options through TIAA and Vanguard. Time Away from Work: Penn provides you with a substantial amount of time away from work during the course of the year. This allows you to relax, take vacations, attend to personal affairs, recover from illness or injury, spend time with family-whatever your personal needs may be. Long-Term Care Insurance: In partnership with Genworth Financial, Penn offers faculty and staff (and your eligible family members) long-term care insurance to help you cover some of the costs of long-term care services received at home, in the community or in a nursing facility. If you apply when you're newly hired, you won't have to provide proof of good health or be subject to underwriting requirements. Eligible family members must always provide proof of good health and are subject to underwriting. Wellness and Work-life Resources: Penn is committed to supporting our faculty and staff as they balance the competing demands of work and personal life. That's why we offer a wide variety of programs and resources to help you care for your health, your family, and your work-life balance. Professional and Personal Development: Penn provides an array of resources to help you advance yourself personally and professionally. University Resources: As a member of the Penn community, you have access to a wide range of University resources as well as cultural and recreational activities. Take advantage of the University's libraries and athletic facilities, or visit our arboretum and art galleries. There's always something going on at Penn, whether it's a new exhibit at the Penn Museum, the latest music or theater presentation at the Annenberg Center, or the Penn Relays at Franklin Field to name just a few examples. As a member of the Penn community, you're right in the middle of the excitement-and you and your family can enjoy many of these activities for free. Discounts and Special Services: From arts and entertainment to transportation and mortgages, you'll find great deals for University faculty and staff. Not only do Penn arts and cultural centers and museums offer free and discounted admission and memberships to faculty and staff. You can also enjoy substantial savings on other goods and services such as new cars from Ford and General Motors, cellular phone service plans, movie tickets, and admission to theme parks. Flexible Work Hours: Flexible work options offer creative approaches for completing work while promoting balance between work and personal commitments. These approaches involve use of non-traditional work hours, locations, and/or job structures. Penn Home Ownership Services: Penn offers a forgivable loan for eligible employees interested in buying a home or currently residing in West Philadelphia, which can be used for closing costs or home improvements. Adoption Assistance: Penn will reimburse eligible employees on qualified expenses in connection with the legal adoption of an eligible child, such as travel or court fees, for up to two adoptions in your household. To learn more, please visit: Equal Employment Opportunity Statement The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state, or local law. To apply, visit Copyright 2025 Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-d179e9077aaade49a4a0c65b646e4d66
01/14/2026
Full time
Senior Data Scientist - Genetics University Overview The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023. Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play. The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more. Posted Job Title Senior Data Scientist - Genetics Job Profile Title Job Description Summary The UPenn department of genetics is seeking a Senior Data Scientist for clinical genomic pipeline design and implementation. Job Description The successful candidate will be working with a broad team of quantitative analysts, including Statisticians, Data Scientists, Clinical and Basic trainees, and other bioinformaticians. Their role will involve developing and implementing new quantitative strategies to improve our understanding and ability to diagnose genetic disorders through a large-scale genomic clinically grade testing. Senior Data Scientists are passionate about applying their knowledge of biology and of methods for molecular, cellular or radiologic data-analysis to uncover general principles of genetic disorders and use these to create clinically useful biomarkers. They will develop, extend and apply computational pipelines for data-analysis to patient cohorts ranging from tens of individuals to hundreds of thousands. These will be executed at scale via distributed software solutions on both local HPC and cloud-based assets. Our datasets comprise petabytes, and are growing rapidly, linked to key clinical endpoints. This requires a strong background in biology to help ensure the right questions are asked, but linked to strong technical and personal communication skills, to help ensure insights are broadly adopted and appropriate analyses are performed. You may work with molecular (WGS, panel-sequencing, RNA-Seq, proteomic) or imaging (digital pathology, radiomic) data, and practical experience in one of these two areas is essential. Beyond your strong inter-personal skills and computer science background, you will have experience with implementation skills at least one of R, Perl or Python. You will be comfortable in UNIX/Linux environments and producing well-documented code. Multi-year experience (>10years) with cloud-computing or HPC is essential. Master of Science and 1 to 2 years of experience, or an equivalent combination of education and experience required. Ph.D. preferred. This position is contingent upon grant funding. Job Location - City, State Philadelphia, Pennsylvania Department / School Perelman School of Medicine Pay Range $100,000.00 - $160,000.00 Annual Rate Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered. Equal Opportunity Statement The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law. Special Requirements Background checks may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job. University Benefits Health, Life, and Flexible Spending Accounts: Penn offers comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits to protect you and your family's health and welfare. You can also use flexible spending accounts to pay for eligible health care and dependent care expenses with pre-tax dollars. Tuition: Take advantage of Penn's exceptional tuition benefits. You, your spouse, and your dependent children can get tuition assistance here at Penn. Your dependent children are also eligible for tuition assistance at other institutions. Retirement: Penn offers generous retirement plans to help you save for your future. Penn's Basic, Matching, and Supplemental retirement plans allow you to save for retirement on a pre-tax or Roth basis. Choose from a wide variety of investment options through TIAA and Vanguard. Time Away from Work: Penn provides you with a substantial amount of time away from work during the course of the year. This allows you to relax, take vacations, attend to personal affairs, recover from illness or injury, spend time with family-whatever your personal needs may be. Long-Term Care Insurance: In partnership with Genworth Financial, Penn offers faculty and staff (and your eligible family members) long-term care insurance to help you cover some of the costs of long-term care services received at home, in the community or in a nursing facility. If you apply when you're newly hired, you won't have to provide proof of good health or be subject to underwriting requirements. Eligible family members must always provide proof of good health and are subject to underwriting. Wellness and Work-life Resources: Penn is committed to supporting our faculty and staff as they balance the competing demands of work and personal life. That's why we offer a wide variety of programs and resources to help you care for your health, your family, and your work-life balance. Professional and Personal Development: Penn provides an array of resources to help you advance yourself personally and professionally. University Resources: As a member of the Penn community, you have access to a wide range of University resources as well as cultural and recreational activities. Take advantage of the University's libraries and athletic facilities, or visit our arboretum and art galleries. There's always something going on at Penn, whether it's a new exhibit at the Penn Museum, the latest music or theater presentation at the Annenberg Center, or the Penn Relays at Franklin Field to name just a few examples. As a member of the Penn community, you're right in the middle of the excitement-and you and your family can enjoy many of these activities for free. Discounts and Special Services: From arts and entertainment to transportation and mortgages, you'll find great deals for University faculty and staff. Not only do Penn arts and cultural centers and museums offer free and discounted admission and memberships to faculty and staff. You can also enjoy substantial savings on other goods and services such as new cars from Ford and General Motors, cellular phone service plans, movie tickets, and admission to theme parks. Flexible Work Hours: Flexible work options offer creative approaches for completing work while promoting balance between work and personal commitments. These approaches involve use of non-traditional work hours, locations, and/or job structures. Penn Home Ownership Services: Penn offers a forgivable loan for eligible employees interested in buying a home or currently residing in West Philadelphia, which can be used for closing costs or home improvements. Adoption Assistance: Penn will reimburse eligible employees on qualified expenses in connection with the legal adoption of an eligible child, such as travel or court fees, for up to two adoptions in your household. To learn more, please visit: Equal Employment Opportunity Statement The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state, or local law. To apply, visit Copyright 2025 Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-d179e9077aaade49a4a0c65b646e4d66
Computational Analyst (Biomedical Sciences) University Overview The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023. Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play. The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more. Posted Job Title Computational Analyst (Biomedical Sciences) Job Profile Title Bioinformatician B Job Description Summary The Baslan Lab is looking for a computational analyst to join our multidisciplinary team of researchers. The experienced analyst is expected to engage in research, independently and in collaboration with members of the group, by analyzing multi-model datasets, including next generation sequencing data, and developing novel analytics, including machine learning approaches. Responsibilities of the position include but are not limited to: (1) processing and analyzing large genomic datasets using supervised and unsupervised learning methods & (2) developing novel algorithmic approaches to advance diagnostic, prognostic, and treatment strategies in cancer. In addition, the individual will be asked to develop computer programs for distribution to the research community as well as management of datasets, including sequencing data. Job Description Job Responsibilities Develop novel algorithms to analyze next generation cancer sequencing datasets. Apply machine learning tools to build classifiers and predictors of disease and therapy in cancer. Establish & maintain working analytical pipelines for the analysis of large genomic datasets. Develop data management solutions and analysis code (e.g. computer programs) Other duties and responsibilities as assigned Qualifications Master of Science in mathematics, physics, computer science, or bioinformatics and 3 to 5 of experience or equivalent combination of education and experience is required. Ph.D. preferred. Experience and expertise in analyzing next generation sequencing data with publications in the field . Experience in computer programming languages commonly used in biomedical research labs (R, Python, C+). Experience in machine learning approachees (ex: NN, NMF, etc.) This position is contingent upon grant funding. Job Location - City, State Philadelphia, Pennsylvania Department / School School of Veterinary Medicine Pay Range $66,000.00 - $82,000.00 Annual Rate Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered. Equal Opportunity Statement The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law. Special Requirements Background checks may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job. University Benefits Health, Life, and Flexible Spending Accounts: Penn offers comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits to protect you and your family's health and welfare. You can also use flexible spending accounts to pay for eligible health care and dependent care expenses with pre-tax dollars. Tuition: Take advantage of Penn's exceptional tuition benefits. You, your spouse, and your dependent children can get tuition assistance here at Penn. Your dependent children are also eligible for tuition assistance at other institutions. Retirement: Penn offers generous retirement plans to help you save for your future. Penn's Basic, Matching, and Supplemental retirement plans allow you to save for retirement on a pre-tax or Roth basis. Choose from a wide variety of investment options through TIAA and Vanguard. Time Away from Work: Penn provides you with a substantial amount of time away from work during the course of the year. This allows you to relax, take vacations, attend to personal affairs, recover from illness or injury, spend time with family-whatever your personal needs may be. Long-Term Care Insurance: In partnership with Genworth Financial, Penn offers faculty and staff (and your eligible family members) long-term care insurance to help you cover some of the costs of long-term care services received at home, in the community or in a nursing facility. If you apply when you're newly hired, you won't have to provide proof of good health or be subject to underwriting requirements. Eligible family members must always provide proof of good health and are subject to underwriting. Wellness and Work-life Resources: Penn is committed to supporting our faculty and staff as they balance the competing demands of work and personal life. That's why we offer a wide variety of programs and resources to help you care for your health, your family, and your work-life balance. Professional and Personal Development: Penn provides an array of resources to help you advance yourself personally and professionally. University Resources: As a member of the Penn community, you have access to a wide range of University resources as well as cultural and recreational activities. Take advantage of the University's libraries and athletic facilities, or visit our arboretum and art galleries. There's always something going on at Penn, whether it's a new exhibit at the Penn Museum, the latest music or theater presentation at the Annenberg Center, or the Penn Relays at Franklin Field to name just a few examples. As a member of the Penn community, you're right in the middle of the excitement-and you and your family can enjoy many of these activities for free. Discounts and Special Services: From arts and entertainment to transportation and mortgages, you'll find great deals for University faculty and staff. Not only do Penn arts and cultural centers and museums offer free and discounted admission and memberships to faculty and staff. You can also enjoy substantial savings on other goods and services such as new cars from Ford and General Motors, cellular phone service plans, movie tickets, and admission to theme parks. Flexible Work Hours: Flexible work options offer creative approaches for completing work while promoting balance between work and personal commitments. These approaches involve use of non-traditional work hours, locations, and/or job structures. Penn Home Ownership Services: Penn offers a forgivable loan for eligible employees interested in buying a home or currently residing in West Philadelphia, which can be used for closing costs or home improvements. Adoption Assistance: Penn will reimburse eligible employees on qualified expenses in connection with the legal adoption of an eligible child, such as travel or court fees, for up to two adoptions in your household. To learn more, please visit: Equal Employment Opportunity Statement The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state, or local law. To apply, visit Copyright 2025 Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-a68e3db14fd5cb4fb27c322c1dae9753
01/14/2026
Full time
Computational Analyst (Biomedical Sciences) University Overview The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023. Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play. The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more. Posted Job Title Computational Analyst (Biomedical Sciences) Job Profile Title Bioinformatician B Job Description Summary The Baslan Lab is looking for a computational analyst to join our multidisciplinary team of researchers. The experienced analyst is expected to engage in research, independently and in collaboration with members of the group, by analyzing multi-model datasets, including next generation sequencing data, and developing novel analytics, including machine learning approaches. Responsibilities of the position include but are not limited to: (1) processing and analyzing large genomic datasets using supervised and unsupervised learning methods & (2) developing novel algorithmic approaches to advance diagnostic, prognostic, and treatment strategies in cancer. In addition, the individual will be asked to develop computer programs for distribution to the research community as well as management of datasets, including sequencing data. Job Description Job Responsibilities Develop novel algorithms to analyze next generation cancer sequencing datasets. Apply machine learning tools to build classifiers and predictors of disease and therapy in cancer. Establish & maintain working analytical pipelines for the analysis of large genomic datasets. Develop data management solutions and analysis code (e.g. computer programs) Other duties and responsibilities as assigned Qualifications Master of Science in mathematics, physics, computer science, or bioinformatics and 3 to 5 of experience or equivalent combination of education and experience is required. Ph.D. preferred. Experience and expertise in analyzing next generation sequencing data with publications in the field . Experience in computer programming languages commonly used in biomedical research labs (R, Python, C+). Experience in machine learning approachees (ex: NN, NMF, etc.) This position is contingent upon grant funding. Job Location - City, State Philadelphia, Pennsylvania Department / School School of Veterinary Medicine Pay Range $66,000.00 - $82,000.00 Annual Rate Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered. Equal Opportunity Statement The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law. Special Requirements Background checks may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job. University Benefits Health, Life, and Flexible Spending Accounts: Penn offers comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits to protect you and your family's health and welfare. You can also use flexible spending accounts to pay for eligible health care and dependent care expenses with pre-tax dollars. Tuition: Take advantage of Penn's exceptional tuition benefits. You, your spouse, and your dependent children can get tuition assistance here at Penn. Your dependent children are also eligible for tuition assistance at other institutions. Retirement: Penn offers generous retirement plans to help you save for your future. Penn's Basic, Matching, and Supplemental retirement plans allow you to save for retirement on a pre-tax or Roth basis. Choose from a wide variety of investment options through TIAA and Vanguard. Time Away from Work: Penn provides you with a substantial amount of time away from work during the course of the year. This allows you to relax, take vacations, attend to personal affairs, recover from illness or injury, spend time with family-whatever your personal needs may be. Long-Term Care Insurance: In partnership with Genworth Financial, Penn offers faculty and staff (and your eligible family members) long-term care insurance to help you cover some of the costs of long-term care services received at home, in the community or in a nursing facility. If you apply when you're newly hired, you won't have to provide proof of good health or be subject to underwriting requirements. Eligible family members must always provide proof of good health and are subject to underwriting. Wellness and Work-life Resources: Penn is committed to supporting our faculty and staff as they balance the competing demands of work and personal life. That's why we offer a wide variety of programs and resources to help you care for your health, your family, and your work-life balance. Professional and Personal Development: Penn provides an array of resources to help you advance yourself personally and professionally. University Resources: As a member of the Penn community, you have access to a wide range of University resources as well as cultural and recreational activities. Take advantage of the University's libraries and athletic facilities, or visit our arboretum and art galleries. There's always something going on at Penn, whether it's a new exhibit at the Penn Museum, the latest music or theater presentation at the Annenberg Center, or the Penn Relays at Franklin Field to name just a few examples. As a member of the Penn community, you're right in the middle of the excitement-and you and your family can enjoy many of these activities for free. Discounts and Special Services: From arts and entertainment to transportation and mortgages, you'll find great deals for University faculty and staff. Not only do Penn arts and cultural centers and museums offer free and discounted admission and memberships to faculty and staff. You can also enjoy substantial savings on other goods and services such as new cars from Ford and General Motors, cellular phone service plans, movie tickets, and admission to theme parks. Flexible Work Hours: Flexible work options offer creative approaches for completing work while promoting balance between work and personal commitments. These approaches involve use of non-traditional work hours, locations, and/or job structures. Penn Home Ownership Services: Penn offers a forgivable loan for eligible employees interested in buying a home or currently residing in West Philadelphia, which can be used for closing costs or home improvements. Adoption Assistance: Penn will reimburse eligible employees on qualified expenses in connection with the legal adoption of an eligible child, such as travel or court fees, for up to two adoptions in your household. To learn more, please visit: Equal Employment Opportunity Statement The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state, or local law. To apply, visit Copyright 2025 Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-a68e3db14fd5cb4fb27c322c1dae9753
Neuroimaging Data Analyst D University Overview The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023. Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play. The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more. Posted Job Title Neuroimaging Data Analyst D Job Profile Title Data Analyst D Job Description Summary Neuroimaging Data Analyst D The Shanmugan Laboratory is part of the Department of Psychiatry, the Neurodevelopment & Psychosis Section, and the Lifespan Brain Institute (LiBI). Our goal is to personalize early interventions in reproductive psychiatry. To do this, we use non-invasive neuroimaging and advanced computational methods to understand mechanisms underlying sex differences in psychopathology and identify neuroendocrinologic markers of risk vs. resilience for psychiatric disorders. The Neuroimaging Data Analyst D will provide support for managing and analyzing data. Job Description The Perelman School of Medicine at the University of Pennsylvania is the oldest and one of the finest medical schools in the United States. Penn is rich in tradition and heritage and at the same time consistently at the forefront of new developments and innovations in medical education and research. Since its founding in 1765 the School has been a strong presence in the community and prides itself on educating the leaders of tomorrow in patient care, biomedical research, and medical education Neuroimaging Data Analyst D The Neuroimaging Data Analyst D provides support for managing and analyzing neuroimaging data. Analysts play a central role on large-scale projects that seek to understand the impact of reproductive timepoints, including puberty, pregnancy, and menopause, on the brain. Within these projects, they work in a team environment with a diverse, multi-disciplinary group of faculty and trainees from psychiatry, psychology engineering, statistics, and computer science. Primary responsibilities include management, processing, and analysis of high-dimensional imaging data. Additional responsibilities will be assigned based on the successful candidate's skills and interests. All analysts additionally lead independent projects (i.e., meta-analyses of neuroimaging studies) where they write first-author manuscripts. Qualifications Bachelor's degree in Engineering, Statistics, or Computational Neuroscience, and 3 to 5 years of research experience or an equivalent combination of education and experience is required. Master's degree preferred. To succeed in the highly collaborative environment, excellent interpersonal and communication skills are required. Program and data analysis skills are required, including Python, linux/bash, SQL, and R. Experience with neuroimaging tools (SPM, AFNI, FSL), clinically-acquired neuroimaging, machine learning, and working with Epic databases (Clarity, databricks, Caboodle) is strongly preferred but not required. Background check required. Position contingent on funding. Working Conditions Office, Library, Computer Room; Requires extensive safety Physical Effort Typically sitting at a desk or table; Occasional lifting 25 lb. or less Job Location - City, State Philadelphia, Pennsylvania Department / School Perelman School of Medicine Pay Range $70,500.00 - $85,000.00 Annual Rate Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered. Equal Opportunity Statement The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law. Special Requirements Background checks may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job. University Benefits Health, Life, and Flexible Spending Accounts: Penn offers comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits to protect you and your family's health and welfare. You can also use flexible spending accounts to pay for eligible health care and dependent care expenses with pre-tax dollars. Tuition: Take advantage of Penn's exceptional tuition benefits. You, your spouse, and your dependent children can get tuition assistance here at Penn. Your dependent children are also eligible for tuition assistance at other institutions. Retirement: Penn offers generous retirement plans to help you save for your future. Penn's Basic, Matching, and Supplemental retirement plans allow you to save for retirement on a pre-tax or Roth basis. Choose from a wide variety of investment options through TIAA and Vanguard. Time Away from Work: Penn provides you with a substantial amount of time away from work during the course of the year. This allows you to relax, take vacations, attend to personal affairs, recover from illness or injury, spend time with family-whatever your personal needs may be. Long-Term Care Insurance: In partnership with Genworth Financial, Penn offers faculty and staff (and your eligible family members) long-term care insurance to help you cover some of the costs of long-term care services received at home, in the community or in a nursing facility. If you apply when you're newly hired, you won't have to provide proof of good health or be subject to underwriting requirements. Eligible family members must always provide proof of good health and are subject to underwriting. Wellness and Work-life Resources: Penn is committed to supporting our faculty and staff as they balance the competing demands of work and personal life. That's why we offer a wide variety of programs and resources to help you care for your health, your family, and your work-life balance. Professional and Personal Development: Penn provides an array of resources to help you advance yourself personally and professionally. University Resources: As a member of the Penn community, you have access to a wide range of University resources as well as cultural and recreational activities. Take advantage of the University's libraries and athletic facilities, or visit our arboretum and art galleries. There's always something going on at Penn, whether it's a new exhibit at the Penn Museum, the latest music or theater presentation at the Annenberg Center, or the Penn Relays at Franklin Field to name just a few examples. As a member of the Penn community, you're right in the middle of the excitement-and you and your family can enjoy many of these activities for free. Discounts and Special Services: From arts and entertainment to transportation and mortgages, you'll find great deals for University faculty and staff. Not only do Penn arts and cultural centers and museums offer free and discounted admission and memberships to faculty and staff. You can also enjoy substantial savings on other goods and services such as new cars from Ford and General Motors, cellular phone service plans, movie tickets, and admission to theme parks. Flexible Work Hours: Flexible work options offer creative approaches for completing work while promoting balance between work and personal commitments. These approaches involve use of non-traditional work hours, locations, and/or job structures. Penn Home Ownership Services: Penn offers a forgivable loan for eligible employees interested in buying a home or currently residing in West Philadelphia, which can be used for closing costs or home improvements. Adoption Assistance: Penn will reimburse eligible employees on qualified expenses in connection with the legal adoption of an eligible child, such as travel or court fees, for up to two adoptions in your household. To learn more, please visit: . click apply for full job details
01/14/2026
Full time
Neuroimaging Data Analyst D University Overview The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023. Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play. The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more. Posted Job Title Neuroimaging Data Analyst D Job Profile Title Data Analyst D Job Description Summary Neuroimaging Data Analyst D The Shanmugan Laboratory is part of the Department of Psychiatry, the Neurodevelopment & Psychosis Section, and the Lifespan Brain Institute (LiBI). Our goal is to personalize early interventions in reproductive psychiatry. To do this, we use non-invasive neuroimaging and advanced computational methods to understand mechanisms underlying sex differences in psychopathology and identify neuroendocrinologic markers of risk vs. resilience for psychiatric disorders. The Neuroimaging Data Analyst D will provide support for managing and analyzing data. Job Description The Perelman School of Medicine at the University of Pennsylvania is the oldest and one of the finest medical schools in the United States. Penn is rich in tradition and heritage and at the same time consistently at the forefront of new developments and innovations in medical education and research. Since its founding in 1765 the School has been a strong presence in the community and prides itself on educating the leaders of tomorrow in patient care, biomedical research, and medical education Neuroimaging Data Analyst D The Neuroimaging Data Analyst D provides support for managing and analyzing neuroimaging data. Analysts play a central role on large-scale projects that seek to understand the impact of reproductive timepoints, including puberty, pregnancy, and menopause, on the brain. Within these projects, they work in a team environment with a diverse, multi-disciplinary group of faculty and trainees from psychiatry, psychology engineering, statistics, and computer science. Primary responsibilities include management, processing, and analysis of high-dimensional imaging data. Additional responsibilities will be assigned based on the successful candidate's skills and interests. All analysts additionally lead independent projects (i.e., meta-analyses of neuroimaging studies) where they write first-author manuscripts. Qualifications Bachelor's degree in Engineering, Statistics, or Computational Neuroscience, and 3 to 5 years of research experience or an equivalent combination of education and experience is required. Master's degree preferred. To succeed in the highly collaborative environment, excellent interpersonal and communication skills are required. Program and data analysis skills are required, including Python, linux/bash, SQL, and R. Experience with neuroimaging tools (SPM, AFNI, FSL), clinically-acquired neuroimaging, machine learning, and working with Epic databases (Clarity, databricks, Caboodle) is strongly preferred but not required. Background check required. Position contingent on funding. Working Conditions Office, Library, Computer Room; Requires extensive safety Physical Effort Typically sitting at a desk or table; Occasional lifting 25 lb. or less Job Location - City, State Philadelphia, Pennsylvania Department / School Perelman School of Medicine Pay Range $70,500.00 - $85,000.00 Annual Rate Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered. Equal Opportunity Statement The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law. Special Requirements Background checks may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job. University Benefits Health, Life, and Flexible Spending Accounts: Penn offers comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits to protect you and your family's health and welfare. You can also use flexible spending accounts to pay for eligible health care and dependent care expenses with pre-tax dollars. Tuition: Take advantage of Penn's exceptional tuition benefits. You, your spouse, and your dependent children can get tuition assistance here at Penn. Your dependent children are also eligible for tuition assistance at other institutions. Retirement: Penn offers generous retirement plans to help you save for your future. Penn's Basic, Matching, and Supplemental retirement plans allow you to save for retirement on a pre-tax or Roth basis. Choose from a wide variety of investment options through TIAA and Vanguard. Time Away from Work: Penn provides you with a substantial amount of time away from work during the course of the year. This allows you to relax, take vacations, attend to personal affairs, recover from illness or injury, spend time with family-whatever your personal needs may be. Long-Term Care Insurance: In partnership with Genworth Financial, Penn offers faculty and staff (and your eligible family members) long-term care insurance to help you cover some of the costs of long-term care services received at home, in the community or in a nursing facility. If you apply when you're newly hired, you won't have to provide proof of good health or be subject to underwriting requirements. Eligible family members must always provide proof of good health and are subject to underwriting. Wellness and Work-life Resources: Penn is committed to supporting our faculty and staff as they balance the competing demands of work and personal life. That's why we offer a wide variety of programs and resources to help you care for your health, your family, and your work-life balance. Professional and Personal Development: Penn provides an array of resources to help you advance yourself personally and professionally. University Resources: As a member of the Penn community, you have access to a wide range of University resources as well as cultural and recreational activities. Take advantage of the University's libraries and athletic facilities, or visit our arboretum and art galleries. There's always something going on at Penn, whether it's a new exhibit at the Penn Museum, the latest music or theater presentation at the Annenberg Center, or the Penn Relays at Franklin Field to name just a few examples. As a member of the Penn community, you're right in the middle of the excitement-and you and your family can enjoy many of these activities for free. Discounts and Special Services: From arts and entertainment to transportation and mortgages, you'll find great deals for University faculty and staff. Not only do Penn arts and cultural centers and museums offer free and discounted admission and memberships to faculty and staff. You can also enjoy substantial savings on other goods and services such as new cars from Ford and General Motors, cellular phone service plans, movie tickets, and admission to theme parks. Flexible Work Hours: Flexible work options offer creative approaches for completing work while promoting balance between work and personal commitments. These approaches involve use of non-traditional work hours, locations, and/or job structures. Penn Home Ownership Services: Penn offers a forgivable loan for eligible employees interested in buying a home or currently residing in West Philadelphia, which can be used for closing costs or home improvements. Adoption Assistance: Penn will reimburse eligible employees on qualified expenses in connection with the legal adoption of an eligible child, such as travel or court fees, for up to two adoptions in your household. To learn more, please visit: . click apply for full job details
Posting Number: S14564P Working Title: Data Warehouse Professional I Department: EITS-Institutional Research About the University of Georgia: Chartered by the state of Georgia in 1785, the University of Georgia is the birthplace of public higher education in America and is the state's flagship university () . The proof is in our more than 240 years of academic and professional achievements and our continual commitment to higher education. UGA is currently ranked among the top 20 public universities in U.S. News & World Report. The University's main campus is located in Athens, approximately 65 miles northeast of Atlanta, with extended campuses in Atlanta, Griffin, Gwinnett, and Tifton. UGA employs approximately 3,100 faculty and more than 7,700 full-time staff. The University's enrollment exceeds 41,000 students including over 31,000 undergraduates and over 10,000 graduate and professional students. Academic programs reside in 19 schools and colleges, including our newly established School of Medicine. College/Unit/Department website: oir.uga.edu Posting Type: External Retirement Plan: TRS or ORP Employment Type: Employee Benefits Eligibility: Benefits Eligible Full/Part time: Full Time Additional Schedule Information: 8am - 5pm, Monday - Friday. This position is not eligible for a remote schedule. Advertised Salary: Up to 70,000; Commensurate with Experience Posting Date: 01/06/2026 Open until filled: Yes Proposed Starting Date: 02/23/2026 Special Instructions to Applicants: Please provide name and contact information for three professional references. This position is not eligible for work authorization sponsorship. Location of Vacancy: Athens Area EEO Policy Statement: The University of Georgia is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, disability, genetic information, national origin, race, religion, sex, or veteran status or other protected status. Persons needing accommodations or assistance with the accessibility of materials related to this search are encouraged to contact Central HR ( ). USG Core Values Statement: The University System of Georgia is comprised of our 26 institutions of higher education and learning, as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found online at . Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found online at . Classification Title: Data Warehouse Pro I FLSA: Exempt FTE: 1.00 Minimum Qualifications: Bachelor's degree in a related field or equivalent Preferred Qualifications: Experience in a Higher Education environment. Experience with SSIS or Azure Data Factory. Experience with Python/Pyspark. Experience with API data extraction. Experience with Power BI. Experience with Excel Pivot Tables and/or OLAP cubes. Position Summary: The Office of Institutional Research at the University of Georgia is seeking a skilled and motivated Data Warehouse Professional to join our team. This role is responsible for designing, developing, and maintaining our overall data infrastructure, which may include data warehouse, data lakes, and other storage solutions that support reporting and operational data needs across the institution. The successful candidate will collaborate with other data warehouse team members, DBAs, business analysts, and other stakeholders to ensure efficient, secure, and effective data management practices that deliver high value to the university. Knowledge, Skills, Abilities and/or Competencies: Understanding of data warehousing and lakehouse concepts (bronze, silver, gold layers). Experience with traditional relational database systems (SQL Server, Oracle) and lakehouse environments like Microsoft Fabric or Databricks. Proficiency with SQL (T-SQL, Spark SQL) for data transformation, modeling and optimization. Experience developing ETL/ELT pipelines using SSIS, Azure Data Factory or Microsoft Fabric Data Factory. Skilled in Python or PySpark and creating notebooks for data processing and analytics. Experience integrating structured and semi-structured data across different systems. Awareness of data security, governance, and access controls in SQL Server or Microsoft Fabric. Ability to translate business requirements into effective technical solutions. Strong problem-solving skills and eagerness to learn new technologies. Excellent communication and interpersonal skills to collaborate with both technical and functional staff at all levels. Physical Demands: Normal office environment. Is driving a responsibility of this position?: No Is this a Position of Trust?: Yes Does this position have operation, access, or control of financial resources?: No Does this position require a P-Card? : No Is having a P-Card an essential function of this position? : No Does this position have direct interaction or care of children under the age of 18 or direct patient care?: No Does this position have Security Access (e.g., public safety, IT security, personnel records, patient records, or access to chemicals and medications): Yes Credit and P-Card policy: Be advised a credit check will be required for all positions with financial responsibilities. For additional information about the credit check criteria, visit the UGA Credit Background Check website . Background Investigation Policy: Offers of employment are contingent upon completion of a background investigation including, a criminal background check demonstrating your eligibility for employment with the University of Georgia; confirmation of the credentials and employment history reflected in your application materials (including reference checks) as they relate to the job-based requirements of the position applied for; and, if applicable, a satisfactory credit check. You may also be subject to a pre-employment drug test for positions with high-risk responsibilities, if applicable. Please visit the UGA Background Check website . Duties/Responsibilities: Design, develop, test, and implement ETL processes to integrate data from diverse sources into the data warehouse using SQL Server Integration Services (SSIS), SQL Server database objects, T-SQL, and Python. Design, develop, test, and implement data pipelines in Microsoft Fabric to ingest, transform, and load data from diverse sources into lakehouse and warehouse environments, leveraging Data Factory, Spark SQL, PySpark and notebooks. Collaborate with business analysts and stakeholders to understand data integration requirements and business objectives. Percentage of time: 50 Duties/Responsibilities: Provide technical support and ensure system availability, including occasional work outside normal business hours. Support database migrations, upgrades, and updates. Monitor data warehouse (ex. SSIS) and lakehouse (ex. pipeline) performance to identify capacity issues and bottlenecks. Maintain technical documentation and support materials. Stay current on emerging technologies, industry trends, and best practices in data warehousing. Adhere to UGA's change management and version control procedures. Follow USG and UGA data governance standards for data access, privacy, and security. Percentage of time: 40 Duties/Responsibilities: Perform related duties as assigned. Percentage of time: 10 Contact Details: For questions concerning this position or recruitment progression, please refer to the Recruitment Contact listed below. Recruitment Contact Name: Julius Gantt Recruitment Contact Email:
01/14/2026
Full time
Posting Number: S14564P Working Title: Data Warehouse Professional I Department: EITS-Institutional Research About the University of Georgia: Chartered by the state of Georgia in 1785, the University of Georgia is the birthplace of public higher education in America and is the state's flagship university () . The proof is in our more than 240 years of academic and professional achievements and our continual commitment to higher education. UGA is currently ranked among the top 20 public universities in U.S. News & World Report. The University's main campus is located in Athens, approximately 65 miles northeast of Atlanta, with extended campuses in Atlanta, Griffin, Gwinnett, and Tifton. UGA employs approximately 3,100 faculty and more than 7,700 full-time staff. The University's enrollment exceeds 41,000 students including over 31,000 undergraduates and over 10,000 graduate and professional students. Academic programs reside in 19 schools and colleges, including our newly established School of Medicine. College/Unit/Department website: oir.uga.edu Posting Type: External Retirement Plan: TRS or ORP Employment Type: Employee Benefits Eligibility: Benefits Eligible Full/Part time: Full Time Additional Schedule Information: 8am - 5pm, Monday - Friday. This position is not eligible for a remote schedule. Advertised Salary: Up to 70,000; Commensurate with Experience Posting Date: 01/06/2026 Open until filled: Yes Proposed Starting Date: 02/23/2026 Special Instructions to Applicants: Please provide name and contact information for three professional references. This position is not eligible for work authorization sponsorship. Location of Vacancy: Athens Area EEO Policy Statement: The University of Georgia is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, disability, genetic information, national origin, race, religion, sex, or veteran status or other protected status. Persons needing accommodations or assistance with the accessibility of materials related to this search are encouraged to contact Central HR ( ). USG Core Values Statement: The University System of Georgia is comprised of our 26 institutions of higher education and learning, as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found online at . Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found online at . Classification Title: Data Warehouse Pro I FLSA: Exempt FTE: 1.00 Minimum Qualifications: Bachelor's degree in a related field or equivalent Preferred Qualifications: Experience in a Higher Education environment. Experience with SSIS or Azure Data Factory. Experience with Python/Pyspark. Experience with API data extraction. Experience with Power BI. Experience with Excel Pivot Tables and/or OLAP cubes. Position Summary: The Office of Institutional Research at the University of Georgia is seeking a skilled and motivated Data Warehouse Professional to join our team. This role is responsible for designing, developing, and maintaining our overall data infrastructure, which may include data warehouse, data lakes, and other storage solutions that support reporting and operational data needs across the institution. The successful candidate will collaborate with other data warehouse team members, DBAs, business analysts, and other stakeholders to ensure efficient, secure, and effective data management practices that deliver high value to the university. Knowledge, Skills, Abilities and/or Competencies: Understanding of data warehousing and lakehouse concepts (bronze, silver, gold layers). Experience with traditional relational database systems (SQL Server, Oracle) and lakehouse environments like Microsoft Fabric or Databricks. Proficiency with SQL (T-SQL, Spark SQL) for data transformation, modeling and optimization. Experience developing ETL/ELT pipelines using SSIS, Azure Data Factory or Microsoft Fabric Data Factory. Skilled in Python or PySpark and creating notebooks for data processing and analytics. Experience integrating structured and semi-structured data across different systems. Awareness of data security, governance, and access controls in SQL Server or Microsoft Fabric. Ability to translate business requirements into effective technical solutions. Strong problem-solving skills and eagerness to learn new technologies. Excellent communication and interpersonal skills to collaborate with both technical and functional staff at all levels. Physical Demands: Normal office environment. Is driving a responsibility of this position?: No Is this a Position of Trust?: Yes Does this position have operation, access, or control of financial resources?: No Does this position require a P-Card? : No Is having a P-Card an essential function of this position? : No Does this position have direct interaction or care of children under the age of 18 or direct patient care?: No Does this position have Security Access (e.g., public safety, IT security, personnel records, patient records, or access to chemicals and medications): Yes Credit and P-Card policy: Be advised a credit check will be required for all positions with financial responsibilities. For additional information about the credit check criteria, visit the UGA Credit Background Check website . Background Investigation Policy: Offers of employment are contingent upon completion of a background investigation including, a criminal background check demonstrating your eligibility for employment with the University of Georgia; confirmation of the credentials and employment history reflected in your application materials (including reference checks) as they relate to the job-based requirements of the position applied for; and, if applicable, a satisfactory credit check. You may also be subject to a pre-employment drug test for positions with high-risk responsibilities, if applicable. Please visit the UGA Background Check website . Duties/Responsibilities: Design, develop, test, and implement ETL processes to integrate data from diverse sources into the data warehouse using SQL Server Integration Services (SSIS), SQL Server database objects, T-SQL, and Python. Design, develop, test, and implement data pipelines in Microsoft Fabric to ingest, transform, and load data from diverse sources into lakehouse and warehouse environments, leveraging Data Factory, Spark SQL, PySpark and notebooks. Collaborate with business analysts and stakeholders to understand data integration requirements and business objectives. Percentage of time: 50 Duties/Responsibilities: Provide technical support and ensure system availability, including occasional work outside normal business hours. Support database migrations, upgrades, and updates. Monitor data warehouse (ex. SSIS) and lakehouse (ex. pipeline) performance to identify capacity issues and bottlenecks. Maintain technical documentation and support materials. Stay current on emerging technologies, industry trends, and best practices in data warehousing. Adhere to UGA's change management and version control procedures. Follow USG and UGA data governance standards for data access, privacy, and security. Percentage of time: 40 Duties/Responsibilities: Perform related duties as assigned. Percentage of time: 10 Contact Details: For questions concerning this position or recruitment progression, please refer to the Recruitment Contact listed below. Recruitment Contact Name: Julius Gantt Recruitment Contact Email:
Research IT Solutions is seeking a highly collaborative, user-centered Research IT Solutions Engineer , who will provide technical engineering and solution design services for a range of IT solutions developed to meet the diverse needs of the Johns Hopkins University (JHU) and Johns Hopkins Medicine (JHM) research community. This role will contribute to the critical delivery of a new set of service offerings for the Research IT Solutions unit being rolled out under the Office of the Deputy CIO, as part of Johns Hopkins' expanding central IT support for the research mission. Research IT Solutions offers a coordinated experience to investigators through the design and facilitation of secure, cutting-edge IT solutions and services, developed and supported in collaboration with key IT teams and support partners across the institution. Research IT Solutions bridges the gap between technology and research, helping investigators navigate the complexities of IT throughout the research lifecycle. The Research IT Solutions Engineer will draw on core skills in software development practices, continuous integration and deployment, research application support, cloud platform administration, data and storage management, and AI/ML workflow enablement to deliver solutions that address the evolving needs of investigators while ensuring alignment with institutional best practices. Specific Duties & Responsibilities Analysis & Requirements Gathering Define complex business/clinical/education problems by meeting with clients to observe and understand current processes and the issues related to those processes. Provide written documentation of findings to share with the client and other IT colleagues. Gather complex system requirements by meeting with clients and researching existing technology to understand the business requirements and possible solutions for new applications. Design & Development Develop detailed tasks and project plans by analyzing project scope and milestones for complex projects to ensure product is delivered quickly according to software lifecycle standards. Write functional/technical specifications from the complex system requirements, putting them into functional and technical descriptions for use by programmers and business analysts to develop technical solutions. Develop/change data input, files/database structures, data transformation, algorithms, and data output by using appropriate computer language/tools to provide technical solutions for complex application development tasks. Document code and associated processes by adhering to development methodologies, adding code comments and appropriate documentation to various knowledge-base system(s) to simplify code maintenance and to improve support. Provide monitoring and guidance in application design and development to more junior staff. Provide thought leadership in designing and developing innovative integrated solutions. Testing & Documentation Create and document complex test scenarios using the appropriate testing tools to validate and verify application functionality. Test all changes by using the appropriate complex test scenarios to ensure all delivered solutions work as expected and errors are handled in a meaningful way. Author and maintain documentation by writing audience-appropriate materials to serve as technical and/or end-user references. Mentor junior staff in testing tools and technologies by reviewing their work. Implementation & Maintenance Implement changes by adhering to the change management policies and procedures for any given project to communicate to all parties the nature, significance, and risk factors of the solution. Monitor changes and resolve complex problems by responding as they occur, by reviewing all processing and output of the newly implemented solution, and by proactively ensuring the solution works successfully to satisfy the customer requirements and to provide a smooth transition to the new solution. Provide support by investigating and resolving issues, including complex issues to ensure prompt, effective service. Minimum Qualifications Bachelor's Degree in Computer Science, Computer Information Systems, Information Technology, Electronic Engineering, or a related field. Five years of related work experience with computer systems and applications. Preferred Qualifications Four years of relevant professional experience, or an equivalent combination of education and experience. Experience supporting research computing projects across diverse domains, including data science, analytics, and computational workflows. Familiarity with cloud platforms and services (AWS, Azure, or Google Cloud), including emerging cloud-native research tools. Knowledge of research-focused platforms such as collaborative computing environments, data processing frameworks, or electronic research tools (e.g., electronic lab notebooks). Exposure to containerization, workflow orchestration, and modern application environments used in research contexts. Experience supporting research applications and assisting with software development practices, CI/CD pipelines, and version control systems. Proficiency in at least one coding or scripting language (e.g., Python, R, Bash, or similar) for workflow automation and application support. Familiarity with collaboration and productivity platforms (e.g., Microsoft 365, GitHub, Jira). Ability to contribute to documentation and provide consultation that helps align technical solutions with research needs. Communication Skills - ability to communicate clearly with both technical and non-technical audiences, while being respectful of diverse perspectives. Data Sensitivity and Compliance - familiarity with data protection principles and relevant regulations such as HIPAA and FERPA. Technical Skills and Expected Level of Proficiency Agile Methodology - Intermediate Algorithms - Intermediate Application Programming Interface (API - Intermediate CI/CD - Intermediate Cloud Serverless Computing Architecture - Intermediate Code Review - Intermediate Data Architecture and Design - Intermediate Data Structures - Intermediate Debugging - Intermediate Dev Ops: Intermediate JIRA - Intermediate New Product Development - Intermediate Secure Coding - Intermediate Service Orientated Architecture - Intermediate Software Design Patterns - Intermediate Software Development Life Cycle - Intermediate Software Engineering - Intermediate Unit Testing - Intermediate Classified Title: Software Engineer Job Posting Title (Working Title): Research IT Solutions Engineer Research) Role/Level/Range: ATP/04/PE Starting Salary Range: $73,300 - $128,300 Annually (Commensurate w/exp.) Employee group: Full Time Schedule: Mon-Fri 8:30am-5:00pm FLSA Status: Exempt Location: Remote Department name: Research IT Solutions Personnel area: University Administration Total Rewards The referenced base salary range represents the low and high end of Johns Hopkins University's salary range for this position. Not all candidates will be eligible for the upper end of the salary range. Exact salary will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, market conditions, education/training and other qualifications. Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: . Education and Experience Equivalency Please refer to the job description above to see which forms of equivalency are permitted for this position. If permitted, equivalencies will follow these guidelines: JHU Equivalency Formula: 30 undergraduate degree credits (semester hours) or 18 graduate degree credits may substitute for one year of experience. Additional related experience may substitute for required education on the same basis. For jobs where equivalency is permitted, up to two years of non-related college course work may be applied towards the total minimum education/experience required for the respective job. Applicants Completing Studies Applicants who do not meet the posted requirements but are completing their final academic semester/quarter will be considered eligible for employment and may be asked to provide additional information confirming their academic completion date. Background Checks The successful candidate(s) for this position will be subject to a pre-employment background check. Johns Hopkins is committed to hiring individuals with a justice-involved background, consistent with applicable policies and current practice. A prior criminal history does not automatically preclude candidates from employment at Johns Hopkins University. In accordance with applicable law, the university will review, on an individual basis, the date of a candidate's conviction, the nature of the conviction and how the conviction relates to an essential job-related qualification or function. Diversity and Inclusion The Johns Hopkins University values diversity, equity and inclusion and advances these through our key strategic framework . click apply for full job details
01/14/2026
Full time
Research IT Solutions is seeking a highly collaborative, user-centered Research IT Solutions Engineer , who will provide technical engineering and solution design services for a range of IT solutions developed to meet the diverse needs of the Johns Hopkins University (JHU) and Johns Hopkins Medicine (JHM) research community. This role will contribute to the critical delivery of a new set of service offerings for the Research IT Solutions unit being rolled out under the Office of the Deputy CIO, as part of Johns Hopkins' expanding central IT support for the research mission. Research IT Solutions offers a coordinated experience to investigators through the design and facilitation of secure, cutting-edge IT solutions and services, developed and supported in collaboration with key IT teams and support partners across the institution. Research IT Solutions bridges the gap between technology and research, helping investigators navigate the complexities of IT throughout the research lifecycle. The Research IT Solutions Engineer will draw on core skills in software development practices, continuous integration and deployment, research application support, cloud platform administration, data and storage management, and AI/ML workflow enablement to deliver solutions that address the evolving needs of investigators while ensuring alignment with institutional best practices. Specific Duties & Responsibilities Analysis & Requirements Gathering Define complex business/clinical/education problems by meeting with clients to observe and understand current processes and the issues related to those processes. Provide written documentation of findings to share with the client and other IT colleagues. Gather complex system requirements by meeting with clients and researching existing technology to understand the business requirements and possible solutions for new applications. Design & Development Develop detailed tasks and project plans by analyzing project scope and milestones for complex projects to ensure product is delivered quickly according to software lifecycle standards. Write functional/technical specifications from the complex system requirements, putting them into functional and technical descriptions for use by programmers and business analysts to develop technical solutions. Develop/change data input, files/database structures, data transformation, algorithms, and data output by using appropriate computer language/tools to provide technical solutions for complex application development tasks. Document code and associated processes by adhering to development methodologies, adding code comments and appropriate documentation to various knowledge-base system(s) to simplify code maintenance and to improve support. Provide monitoring and guidance in application design and development to more junior staff. Provide thought leadership in designing and developing innovative integrated solutions. Testing & Documentation Create and document complex test scenarios using the appropriate testing tools to validate and verify application functionality. Test all changes by using the appropriate complex test scenarios to ensure all delivered solutions work as expected and errors are handled in a meaningful way. Author and maintain documentation by writing audience-appropriate materials to serve as technical and/or end-user references. Mentor junior staff in testing tools and technologies by reviewing their work. Implementation & Maintenance Implement changes by adhering to the change management policies and procedures for any given project to communicate to all parties the nature, significance, and risk factors of the solution. Monitor changes and resolve complex problems by responding as they occur, by reviewing all processing and output of the newly implemented solution, and by proactively ensuring the solution works successfully to satisfy the customer requirements and to provide a smooth transition to the new solution. Provide support by investigating and resolving issues, including complex issues to ensure prompt, effective service. Minimum Qualifications Bachelor's Degree in Computer Science, Computer Information Systems, Information Technology, Electronic Engineering, or a related field. Five years of related work experience with computer systems and applications. Preferred Qualifications Four years of relevant professional experience, or an equivalent combination of education and experience. Experience supporting research computing projects across diverse domains, including data science, analytics, and computational workflows. Familiarity with cloud platforms and services (AWS, Azure, or Google Cloud), including emerging cloud-native research tools. Knowledge of research-focused platforms such as collaborative computing environments, data processing frameworks, or electronic research tools (e.g., electronic lab notebooks). Exposure to containerization, workflow orchestration, and modern application environments used in research contexts. Experience supporting research applications and assisting with software development practices, CI/CD pipelines, and version control systems. Proficiency in at least one coding or scripting language (e.g., Python, R, Bash, or similar) for workflow automation and application support. Familiarity with collaboration and productivity platforms (e.g., Microsoft 365, GitHub, Jira). Ability to contribute to documentation and provide consultation that helps align technical solutions with research needs. Communication Skills - ability to communicate clearly with both technical and non-technical audiences, while being respectful of diverse perspectives. Data Sensitivity and Compliance - familiarity with data protection principles and relevant regulations such as HIPAA and FERPA. Technical Skills and Expected Level of Proficiency Agile Methodology - Intermediate Algorithms - Intermediate Application Programming Interface (API - Intermediate CI/CD - Intermediate Cloud Serverless Computing Architecture - Intermediate Code Review - Intermediate Data Architecture and Design - Intermediate Data Structures - Intermediate Debugging - Intermediate Dev Ops: Intermediate JIRA - Intermediate New Product Development - Intermediate Secure Coding - Intermediate Service Orientated Architecture - Intermediate Software Design Patterns - Intermediate Software Development Life Cycle - Intermediate Software Engineering - Intermediate Unit Testing - Intermediate Classified Title: Software Engineer Job Posting Title (Working Title): Research IT Solutions Engineer Research) Role/Level/Range: ATP/04/PE Starting Salary Range: $73,300 - $128,300 Annually (Commensurate w/exp.) Employee group: Full Time Schedule: Mon-Fri 8:30am-5:00pm FLSA Status: Exempt Location: Remote Department name: Research IT Solutions Personnel area: University Administration Total Rewards The referenced base salary range represents the low and high end of Johns Hopkins University's salary range for this position. Not all candidates will be eligible for the upper end of the salary range. Exact salary will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, market conditions, education/training and other qualifications. Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: . Education and Experience Equivalency Please refer to the job description above to see which forms of equivalency are permitted for this position. If permitted, equivalencies will follow these guidelines: JHU Equivalency Formula: 30 undergraduate degree credits (semester hours) or 18 graduate degree credits may substitute for one year of experience. Additional related experience may substitute for required education on the same basis. For jobs where equivalency is permitted, up to two years of non-related college course work may be applied towards the total minimum education/experience required for the respective job. Applicants Completing Studies Applicants who do not meet the posted requirements but are completing their final academic semester/quarter will be considered eligible for employment and may be asked to provide additional information confirming their academic completion date. Background Checks The successful candidate(s) for this position will be subject to a pre-employment background check. Johns Hopkins is committed to hiring individuals with a justice-involved background, consistent with applicable policies and current practice. A prior criminal history does not automatically preclude candidates from employment at Johns Hopkins University. In accordance with applicable law, the university will review, on an individual basis, the date of a candidate's conviction, the nature of the conviction and how the conviction relates to an essential job-related qualification or function. Diversity and Inclusion The Johns Hopkins University values diversity, equity and inclusion and advances these through our key strategic framework . click apply for full job details
SAS Programmer/Analyst The SAS programmer position (IT Analyst/Programmer III) within the Enterprise Data Office (EDO) at the UNC System Office writes SAS programs and uses other tools such as Tableau and Microsoft Office products to manage and report data, conduct analyses, and support the system-wide data marts and analytics platform. The role must understand and integrate the student, human resources, and finance data marts as well as other data sources, manage data quality and metadata, and draw meaning from rich data sources in order to provide value-added information and compliance reports to a wide range of stakeholders. Data security is a major responsibility, so this position must take all measures necessary to ensure that data is protected as prescribed by law, System Office policies, and department standards. This position is expected to manage multiple and complex projects and is responsible for keeping those projects focused on requested outcomes and completion time frames. Regarding the broader goals of the unit, this position follows work standards and standard processes (e.g., quality control, documentation, naming and coding conventions). This position reviews code written by colleagues and provides constructive feedback and communicates effectively with his/her supervisor and others within and outside the department. This position documents recurring activities and complex projects to support the department goal of cross-training. This position consults with other programmer/analysts and campus representatives to discuss techniques, assist with resolution of technical problems, and provide technical assistance when needed. This position is a hybrid work arrangement and will work at least three days per week onsite at the Dillon building in downtown Raleigh's Warehouse District. UNC System employees are generally required to reside in North Carolina, within a 2-hour commuting distance of their assigned duty station. Education Requirements: Master's degree and 2-4 years' experience; or bachelor's degree and 3-5 years' experience; or will accept a combination of related education and experience in substitution. Required Competencies: Proficiency with SAS programming (minimum of 3 years' experience), including Data Step programming, merging large and complex data sets using Data Merge, and use of specific routines in SAS such as Proc SQL, ODS, Proc Report/Tabulate, Macro Programming, and Array Processing - Experience with debugging and troubleshooting code, updating code written by other programmers, and thoroughly documenting code - Ability to work as part of a team and communicate complex information effectively to a wide variety of stakeholders, including both technical and non-technical experts - Excellent customer service skills, attention to detail, and commitment to accuracy - Strong analytical skills, critical thinking, and problem-solving skills - Ability to effectively plan and manage multiple projects simultaneously with time constraints Preferred Education, Experience, and Skills: Management strongly prefers a minimum of five (5) years of writing original SAS code in a professional setting. - Experience working in a higher education institution, system office, and/or a state-level higher education agency - Experience working with data visualization software (Tableau preferred), with the ability to create dashboards and update/enhance dashboards created by others - Experience writing and/or interpreting SQL and/or Python - Subject matter expertise in one or more institutional research reporting areas, such as student enrollment, academic programs, admissions, financial aid, facilities, finance, or human resources - Experience investigating and resolving data quality issues - Knowledge of higher education policy issues, data reporting systems, or federal and state reporting requirements (North Carolina experience preferred) - Knowledge of FERPA and state laws concerning student privacy and data security Special Instructions to Applicants: The posting remains open until filled, but applications received by January 29, 2026 will receive priority consideration. To apply, please visit: Copyright 2025 Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-8705d1c311b45e43a3676ed5c9ca2586
01/14/2026
Full time
SAS Programmer/Analyst The SAS programmer position (IT Analyst/Programmer III) within the Enterprise Data Office (EDO) at the UNC System Office writes SAS programs and uses other tools such as Tableau and Microsoft Office products to manage and report data, conduct analyses, and support the system-wide data marts and analytics platform. The role must understand and integrate the student, human resources, and finance data marts as well as other data sources, manage data quality and metadata, and draw meaning from rich data sources in order to provide value-added information and compliance reports to a wide range of stakeholders. Data security is a major responsibility, so this position must take all measures necessary to ensure that data is protected as prescribed by law, System Office policies, and department standards. This position is expected to manage multiple and complex projects and is responsible for keeping those projects focused on requested outcomes and completion time frames. Regarding the broader goals of the unit, this position follows work standards and standard processes (e.g., quality control, documentation, naming and coding conventions). This position reviews code written by colleagues and provides constructive feedback and communicates effectively with his/her supervisor and others within and outside the department. This position documents recurring activities and complex projects to support the department goal of cross-training. This position consults with other programmer/analysts and campus representatives to discuss techniques, assist with resolution of technical problems, and provide technical assistance when needed. This position is a hybrid work arrangement and will work at least three days per week onsite at the Dillon building in downtown Raleigh's Warehouse District. UNC System employees are generally required to reside in North Carolina, within a 2-hour commuting distance of their assigned duty station. Education Requirements: Master's degree and 2-4 years' experience; or bachelor's degree and 3-5 years' experience; or will accept a combination of related education and experience in substitution. Required Competencies: Proficiency with SAS programming (minimum of 3 years' experience), including Data Step programming, merging large and complex data sets using Data Merge, and use of specific routines in SAS such as Proc SQL, ODS, Proc Report/Tabulate, Macro Programming, and Array Processing - Experience with debugging and troubleshooting code, updating code written by other programmers, and thoroughly documenting code - Ability to work as part of a team and communicate complex information effectively to a wide variety of stakeholders, including both technical and non-technical experts - Excellent customer service skills, attention to detail, and commitment to accuracy - Strong analytical skills, critical thinking, and problem-solving skills - Ability to effectively plan and manage multiple projects simultaneously with time constraints Preferred Education, Experience, and Skills: Management strongly prefers a minimum of five (5) years of writing original SAS code in a professional setting. - Experience working in a higher education institution, system office, and/or a state-level higher education agency - Experience working with data visualization software (Tableau preferred), with the ability to create dashboards and update/enhance dashboards created by others - Experience writing and/or interpreting SQL and/or Python - Subject matter expertise in one or more institutional research reporting areas, such as student enrollment, academic programs, admissions, financial aid, facilities, finance, or human resources - Experience investigating and resolving data quality issues - Knowledge of higher education policy issues, data reporting systems, or federal and state reporting requirements (North Carolina experience preferred) - Knowledge of FERPA and state laws concerning student privacy and data security Special Instructions to Applicants: The posting remains open until filled, but applications received by January 29, 2026 will receive priority consideration. To apply, please visit: Copyright 2025 Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-8705d1c311b45e43a3676ed5c9ca2586
Job Title: GIS Data Analyst Location: Tallahassee, FL Regular/Temporary: Regular Full/Part Time: Full-Time Job ID: 61294 Department Planning, Design & Construction Responsibilities Supports and advances the university's campus-wide mapping initiatives by incorporating current and emerging GIS technologies. Develops, updates, and maintains spatial databases and data sets using ArcGIS and related applications. Performs quality control and quality assurance (QA/QC) on GIS data. Maintains GIS metadata and ensures data integrity and compliance with university and state standards. Executes queries using SQL, Python, or other scripting languages to automate processes and enhance data analysis. Provides vector spatial analysis as well as modeling to support decision-making processes. Collaborates with internal stakeholders and external organizations to assess and address mapping and spatial analysis needs. Designs and produces high-quality maps, graphics, dashboards, and visualizations to support reports, presentations, publications, and planning efforts. Develops and maintains interactive web-based maps accessible to the campus community. Provides cartographic expertise to ensure all map products are clear, accurate, and accessible. Supports Facilities Planning land acquisition process by providing data, land use analysis, and recommendations as appropriate. Provides support to Facilities departments with respect to building information modeling and computer assisted design. Provides geospatial data management, analysis, and mapping support for the university's maintenance and utility infrastructure, including water, sewer, stormwater, electrical, telecommunications, chilled water, steam, and natural gas systems. Converts, integrates, and validates CAD drawings, as-built plans, and field survey data for incorporation into the GIS database. Supports field crews and engineers by delivering accurate utility maps, locates, and mobile GIS tools to enhance operational efficiency and safety. Contributes to special projects and emerging initiatives as directed, applying GIS expertise to support evolving campus needs. Operates university vehicles and equipment as necessary to complete fieldwork and project assignments safely and effectively. Qualifications Bachelor's degree and four years experience or a high school diploma or equivalent and eight years of experience. (Note: or a combination of post high school education and experience equal to eight years.) A valid State of Florida or Georgia Driver's License or ability to obtain upon hire. Preferred Qualifications Candidates with the following are strongly preferred: SIx years of experience, preferably in higher education, municipal, or utility GIS programs. Master's degree in a related field or equivalent coursework/advanced GIS certificates. Other Information The work schedule is 8am to 5pm with a 1-hour break. This position may serve as an activated employee during campus closures or emergencies, providing critical GIS mapping data, and analysis to support incident response, utility service restoration, and decision-making by emergency management and leadership. University Information One of the nation's elite research universities, Florida State University preserves, expands, and disseminates knowledge in the sciences, technology, arts, humanities, and professions, while embracing a philosophy of learning strongly rooted in the traditions of the liberal arts and critical thinking. Founded in 1851, Florida State University is the oldest continuous site of higher education in Florida. FSU is a community steeped in tradition that fosters research and encourages creativity. At FSU, there's the excitement of being part of a vibrant academic and professional community, surrounded by people whose ideas are shaping tomorrow's news! Learn more about our university and campuses. FSU Total Rewards FSU offers a robust Total Rewards package. Visit our website to learn more about our Compensation, Benefits, Wellness, Recognition, and Employee Development programs. Use our interactive tool to calculate Total Compensation options based on potential salary, benefits and retirement contributions, earned leave, and other employment-related perks. How To Apply If qualified and interested in a specific job opening as advertised, apply to Florida State University at . If you are a current FSU employee, apply via myFSU > Self Service. Applicants are required to complete the online application with all applicable information. Applications must include all work history up to ten years, and education details even if attaching a resume. Considerations This is an A&P position. This position requires successful completion of a criminal history background check . This position is open until filled. Equal Employment Opportunity FSU is an Equal Employment Opportunity Employer.
01/14/2026
Full time
Job Title: GIS Data Analyst Location: Tallahassee, FL Regular/Temporary: Regular Full/Part Time: Full-Time Job ID: 61294 Department Planning, Design & Construction Responsibilities Supports and advances the university's campus-wide mapping initiatives by incorporating current and emerging GIS technologies. Develops, updates, and maintains spatial databases and data sets using ArcGIS and related applications. Performs quality control and quality assurance (QA/QC) on GIS data. Maintains GIS metadata and ensures data integrity and compliance with university and state standards. Executes queries using SQL, Python, or other scripting languages to automate processes and enhance data analysis. Provides vector spatial analysis as well as modeling to support decision-making processes. Collaborates with internal stakeholders and external organizations to assess and address mapping and spatial analysis needs. Designs and produces high-quality maps, graphics, dashboards, and visualizations to support reports, presentations, publications, and planning efforts. Develops and maintains interactive web-based maps accessible to the campus community. Provides cartographic expertise to ensure all map products are clear, accurate, and accessible. Supports Facilities Planning land acquisition process by providing data, land use analysis, and recommendations as appropriate. Provides support to Facilities departments with respect to building information modeling and computer assisted design. Provides geospatial data management, analysis, and mapping support for the university's maintenance and utility infrastructure, including water, sewer, stormwater, electrical, telecommunications, chilled water, steam, and natural gas systems. Converts, integrates, and validates CAD drawings, as-built plans, and field survey data for incorporation into the GIS database. Supports field crews and engineers by delivering accurate utility maps, locates, and mobile GIS tools to enhance operational efficiency and safety. Contributes to special projects and emerging initiatives as directed, applying GIS expertise to support evolving campus needs. Operates university vehicles and equipment as necessary to complete fieldwork and project assignments safely and effectively. Qualifications Bachelor's degree and four years experience or a high school diploma or equivalent and eight years of experience. (Note: or a combination of post high school education and experience equal to eight years.) A valid State of Florida or Georgia Driver's License or ability to obtain upon hire. Preferred Qualifications Candidates with the following are strongly preferred: SIx years of experience, preferably in higher education, municipal, or utility GIS programs. Master's degree in a related field or equivalent coursework/advanced GIS certificates. Other Information The work schedule is 8am to 5pm with a 1-hour break. This position may serve as an activated employee during campus closures or emergencies, providing critical GIS mapping data, and analysis to support incident response, utility service restoration, and decision-making by emergency management and leadership. University Information One of the nation's elite research universities, Florida State University preserves, expands, and disseminates knowledge in the sciences, technology, arts, humanities, and professions, while embracing a philosophy of learning strongly rooted in the traditions of the liberal arts and critical thinking. Founded in 1851, Florida State University is the oldest continuous site of higher education in Florida. FSU is a community steeped in tradition that fosters research and encourages creativity. At FSU, there's the excitement of being part of a vibrant academic and professional community, surrounded by people whose ideas are shaping tomorrow's news! Learn more about our university and campuses. FSU Total Rewards FSU offers a robust Total Rewards package. Visit our website to learn more about our Compensation, Benefits, Wellness, Recognition, and Employee Development programs. Use our interactive tool to calculate Total Compensation options based on potential salary, benefits and retirement contributions, earned leave, and other employment-related perks. How To Apply If qualified and interested in a specific job opening as advertised, apply to Florida State University at . If you are a current FSU employee, apply via myFSU > Self Service. Applicants are required to complete the online application with all applicable information. Applications must include all work history up to ten years, and education details even if attaching a resume. Considerations This is an A&P position. This position requires successful completion of a criminal history background check . This position is open until filled. Equal Employment Opportunity FSU is an Equal Employment Opportunity Employer.
Enterprise Learning Systems Programmer/Analyst SUNY Empire is seeking a skilled Enterprise Learning Systems Programmer/Analyst to support the data integrations, technical operations, and ongoing needs of our Learning Management System (D2L Brightspace). This role will be central to ensuring seamless data flow between the University's Student Information System (Banner) and Brightspace, while also providing technical expertise to the Empire Online department (comprised of Instructional Designers, Instructional Technologists, Learning Management System Administrators, and Digital Accessibility Specialists). The selected incumbent will play a critical role in maintaining reliable integrations, supporting data-driven decision making, and ensuring that the institution's learning technologies function smoothly for students, faculty, and staff. The Enterprise Learning Systems Programmer/Analyst will also serve as a member of the Brightspace Operations Committee and will work closely with colleagues in Academic Affairs to align technical solutions with teaching and learning needs across the university. Primary responsibilities include: Develop, maintain, and optimize integrations between Banner SIS and D2L Brightspace. Design, maintain, and document API integrations, with emphasis on RESTful APIs, to support secure and efficient data exchange. Collaborate with DLE, IT staff, and Academic Affairs to ensure accurate and timely data flow across systems. Serve as a contributing member of the Brightspace Operations Committee, representing integration and technical perspectives. Troubleshoot and resolve technical issues related to data integrations, synchronization, and system interoperability. Support technical needs for the Empire Online department, including maintaining workflows, automation, and reporting. Implement, test, and document updates, patches, and custom integration solutions. Develop and maintain clear documentation of process, integration workflows, and technical standards to support continuity and best practices. Contribute technical expertise to projects involving course migrations, data reporting, or system enhancements. Ensure compliance with institutional policies, data security standards, FERPA, and accessibility requirements. Job Requirements: Required Qualifications: Bachelor's degree from a regionally accredited college or university and a minimum of 2 years' applicable programming experience; OR an Associate's degree and a minimum of 4 years' applicable programming experience. Hands-on experience with Student Information and Learning Management Systems. Proven background in system integrations with APIs, including RESTful API development and support. Proficiency in programming and scripting languages (e.g., Python, Java, SQL, XML, JSON). Experience working with web services (REST, SOAP) and middleware technologies. Strong problem-solving skills with the ability to troubleshoot integration and data exchange issues independently. Excellent communication skills and ability to collaborate across functional teams, including Academic Affairs. Preferred Qualifications: Banner SIS and D2L Brightspace experience in Higher Education. Familiarity with Brightspace integration architecture. Knowledge of data security, FERPA compliance, and accessibility standards (WCAG/ADA). Experience supporting technical projects in Educational Technology or instructional technology contexts. Special Information: Occasional travel may be required to fulfill department and university-wide commitments. Applicants must be currently authorized to work in the United States on a full-time basis. VISA sponsorship is not available for this position. SUNY Empire provides employees with flexible work options to meet the needs of students, faculty, and staff in a dispersed work environment. Additional Information: Rank/Salary: Lead Programmer-Analyst, SL3 / $70,000. We are pleased to offer our employees an excellent benefit package which includes NYS health insurance, free dental and vision, competitive retirement options, and generous vacation, sick and holiday accruals; and a strong emphasis on work-life balance. We also offer professional-development activities for professionals and support staff. SUNY Empire is an AA/EEO/ADA employer. The University actively seeks applications from women, veterans, individuals with a disability, members of underrepresented groups or anyone that would enrich the diversity of the University. SUNY Empire is committed to fostering a diverse community of outstanding faculty, staff, and students, as well as ensuring equal educational opportunity, employment, and access to services, programs, and activities, without regard to an individual's race, color, national origin, religion, creed, age, disability, sex, gender identity, sexual orientation, familial status, pregnancy, predisposing genetic characteristics, military status, domestic violence victim status, or criminal conviction. Employees, students, applicants, or other members of the university community (including but not limited to vendors, visitors, and guests) may not be subjected to harassment that is prohibited by law or treated adversely or retaliated against based upon a protected characteristic. SUNY Empire provides reasonable accommodations for applicants with disabilities, veterans, or wounded warriors where appropriate. If you would like to request a reasonable accommodation for any part of the application and hiring process, please contact the Office of Human Resources at . In accordance with the Title II Crime Awareness and Security Act, a copy of our crime statistics is available upon request by calling . It can also be viewed online at our Safety and Security website . To apply, visit Copyright 2025 Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-043e08d8dc1ee544b93e2b16abace6fa
01/14/2026
Full time
Enterprise Learning Systems Programmer/Analyst SUNY Empire is seeking a skilled Enterprise Learning Systems Programmer/Analyst to support the data integrations, technical operations, and ongoing needs of our Learning Management System (D2L Brightspace). This role will be central to ensuring seamless data flow between the University's Student Information System (Banner) and Brightspace, while also providing technical expertise to the Empire Online department (comprised of Instructional Designers, Instructional Technologists, Learning Management System Administrators, and Digital Accessibility Specialists). The selected incumbent will play a critical role in maintaining reliable integrations, supporting data-driven decision making, and ensuring that the institution's learning technologies function smoothly for students, faculty, and staff. The Enterprise Learning Systems Programmer/Analyst will also serve as a member of the Brightspace Operations Committee and will work closely with colleagues in Academic Affairs to align technical solutions with teaching and learning needs across the university. Primary responsibilities include: Develop, maintain, and optimize integrations between Banner SIS and D2L Brightspace. Design, maintain, and document API integrations, with emphasis on RESTful APIs, to support secure and efficient data exchange. Collaborate with DLE, IT staff, and Academic Affairs to ensure accurate and timely data flow across systems. Serve as a contributing member of the Brightspace Operations Committee, representing integration and technical perspectives. Troubleshoot and resolve technical issues related to data integrations, synchronization, and system interoperability. Support technical needs for the Empire Online department, including maintaining workflows, automation, and reporting. Implement, test, and document updates, patches, and custom integration solutions. Develop and maintain clear documentation of process, integration workflows, and technical standards to support continuity and best practices. Contribute technical expertise to projects involving course migrations, data reporting, or system enhancements. Ensure compliance with institutional policies, data security standards, FERPA, and accessibility requirements. Job Requirements: Required Qualifications: Bachelor's degree from a regionally accredited college or university and a minimum of 2 years' applicable programming experience; OR an Associate's degree and a minimum of 4 years' applicable programming experience. Hands-on experience with Student Information and Learning Management Systems. Proven background in system integrations with APIs, including RESTful API development and support. Proficiency in programming and scripting languages (e.g., Python, Java, SQL, XML, JSON). Experience working with web services (REST, SOAP) and middleware technologies. Strong problem-solving skills with the ability to troubleshoot integration and data exchange issues independently. Excellent communication skills and ability to collaborate across functional teams, including Academic Affairs. Preferred Qualifications: Banner SIS and D2L Brightspace experience in Higher Education. Familiarity with Brightspace integration architecture. Knowledge of data security, FERPA compliance, and accessibility standards (WCAG/ADA). Experience supporting technical projects in Educational Technology or instructional technology contexts. Special Information: Occasional travel may be required to fulfill department and university-wide commitments. Applicants must be currently authorized to work in the United States on a full-time basis. VISA sponsorship is not available for this position. SUNY Empire provides employees with flexible work options to meet the needs of students, faculty, and staff in a dispersed work environment. Additional Information: Rank/Salary: Lead Programmer-Analyst, SL3 / $70,000. We are pleased to offer our employees an excellent benefit package which includes NYS health insurance, free dental and vision, competitive retirement options, and generous vacation, sick and holiday accruals; and a strong emphasis on work-life balance. We also offer professional-development activities for professionals and support staff. SUNY Empire is an AA/EEO/ADA employer. The University actively seeks applications from women, veterans, individuals with a disability, members of underrepresented groups or anyone that would enrich the diversity of the University. SUNY Empire is committed to fostering a diverse community of outstanding faculty, staff, and students, as well as ensuring equal educational opportunity, employment, and access to services, programs, and activities, without regard to an individual's race, color, national origin, religion, creed, age, disability, sex, gender identity, sexual orientation, familial status, pregnancy, predisposing genetic characteristics, military status, domestic violence victim status, or criminal conviction. Employees, students, applicants, or other members of the university community (including but not limited to vendors, visitors, and guests) may not be subjected to harassment that is prohibited by law or treated adversely or retaliated against based upon a protected characteristic. SUNY Empire provides reasonable accommodations for applicants with disabilities, veterans, or wounded warriors where appropriate. If you would like to request a reasonable accommodation for any part of the application and hiring process, please contact the Office of Human Resources at . In accordance with the Title II Crime Awareness and Security Act, a copy of our crime statistics is available upon request by calling . It can also be viewed online at our Safety and Security website . To apply, visit Copyright 2025 Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-043e08d8dc1ee544b93e2b16abace6fa
Data Engineer, Penn Wharton Budget Model University Overview The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023. Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play. The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more. Posted Job Title Data Engineer, Penn Wharton Budget Model Job Profile Title Application Developer Senior Job Description Summary Wharton School Overview Founded in 1881 as the world's first collegiate business school, the Wharton School of the University of Pennsylvania is shaping the future of business by incubating ideas, driving insights, and creating leaders who change the world. With campuses in both Philadelphia and San Francisco, Wharton has over 850 staff, a faculty population of more than 235 renowned professors, and 5,000 undergraduate, MBA, executive MBA, and doctoral students. Each year 13,000 professionals from around the world advance their careers through Wharton Executive Education's individual, company-customized, and online programs. More than 104,000 Wharton alumni form a powerful global network of leaders who transform business every day. Wharton is home to a dynamic community of staff, bringing a wide range of skills, experiences, and perspectives. To learn more, visit . The Penn Wharton Budget Model (PWBM) is a non-partisan, research-based initiative that provides analysis to policymakers to assess the effects of policy on budgetary outcomes (government revenues and costs) and various economic variables. PWBM's work is widely cited and has been influential in many key recent policy discussions, including tax reform, budget reconciliation, immigration, Social Security, health care, infrastructure, pre-K education, paid family leave, universal income, and the federal debt. The PWBM team consists of roughly 30 Ph.D. economists, policy analysts, research analysts, software engineers, and developers. PWBM has a unique model - even relative to other scoring entities - that relies on a workflow between data processing, microsimulation (which utilizes large-scale Monte Carlo simulations), dozens of policy modules (including several tax calculators), and a large-scale stochastic macroeconomic overlapping generations (OLG) lifecycle model. An extensive code base, mostly in Python, underlies this workflow, and the model utilizes cutting-edge economic modeling, data science, machine learning, and cloud computing to project policy impacts. The models are frequently updated to reflect the latest economics and empirical research, and many of them require (large) datasets to calibrate them. PWBM is currently building a model automation pipeline to automate the forecasting process. The Data Engineer will be a member of the software engineering team and work closely with PWBM domain experts - economists, policy analysts, and research analysts - responsible for building and calibrating models using large, publicly and privately available datasets. The Data Engineer will design, build, and maintain the data infrastructure with the software engineering team; establish best practices for data ingestion and storage; and coach domain experts to write maintainable extract-transform-load (ETL) code. The Data Engineer will also contribute their expertise and insights to the model automation project to help make the automation pipeline robust to data changes. Position contingent upon funding. Job Description Job Responsibilities The data engineer will work with the software engineering team to design, build, and maintain data infrastructure that houses data obtained from external sources and PWBM model output and enables PWBM and external collaborators easy access to information that is versioned, accurate, and consistent. Establish best practices for data ingestion, storage, and retrieval. Work with PWBM domain experts to implement best practices in extract-transform-load (ETL) code, including producing readable, modular, and testable code. Help the Director of Engineering and Data and domain experts plan future infrastructure development. Mentor junior engineers, research analysts, and graduate students. Perform additional duties as assigned Qualifications Required Skills/Experience: A bachelor's degree in a relevant field, such as computer science, software engineering, statistics, mathematics, or engineering; and 3-5 years of experience; or equivalent. More than 2 years of post-degree experience as a data engineer in a team setting, and familiarity with current cloud data storage options, data modeling, data extraction (e.g., web scraping or using web APIs), automation (e.g., pipelining), and alerting/monitoring with process insights in mind. Demonstrated ability to write readable, modular, and testable code. Experience with modern software engineering best practices (e.g. automated testing, pair programming, and continuous integration). Solid ability to understand mathematical and statistical models. Strong written and verbal communication skills and the ability to collaborate successfully with teammates who have diverse technical backgrounds. The data engineer will work with individuals across a range of technical experience levels, so the candidate should be able to distill their thoughts into non-technical terms. Experience working with LLM-based coding tools. Experience with data frame packages/libraries in any programming language. Solid ability to identify requirements from discussions with domain experts and parse them into smaller stories/tasks. Preferred Skills: Knowledge of Python and pandas. Experience working with survey data or other microdata. Familiarity with major economic and demographic data sources (e.g. Census Bureau, Bureau of Labor Statistics, and Bureau of Economic Analysis). Experience working with data scientists or economists. Formal training in economics, public policy, or in quantitative disciplines such as statistics, engineering, and mathematics. Additional Information Staff positions at the Penn Wharton Budget Model are funded by external gifts and grants. This position is contingent upon both the continued availability of funding sources and the ongoing need for the role. It is an initial two-year term position, with potential renewal at the discretion of the faculty director. The position may be discontinued if funding sources are no longer available, if suitable replacement funding sources are not identified, or if the need for the position ceases to exist. Job Location - City, State Philadelphia, Pennsylvania Department / School Wharton School Pay Range $83,500.00 - $130,000.00 Annual Rate Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered. Equal Opportunity Statement The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law. Special Requirements Background checks may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job. University Benefits Health, Life, and Flexible Spending Accounts: Penn offers comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits to protect you and your family's health and welfare. You can also use flexible spending accounts to pay for eligible health care and dependent care expenses with pre-tax dollars. Tuition: Take advantage of Penn's exceptional tuition benefits. You, your spouse, and your dependent children can get tuition assistance here at Penn. Your dependent children are also eligible for tuition assistance at other institutions. Retirement: . click apply for full job details
01/14/2026
Full time
Data Engineer, Penn Wharton Budget Model University Overview The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023. Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play. The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more. Posted Job Title Data Engineer, Penn Wharton Budget Model Job Profile Title Application Developer Senior Job Description Summary Wharton School Overview Founded in 1881 as the world's first collegiate business school, the Wharton School of the University of Pennsylvania is shaping the future of business by incubating ideas, driving insights, and creating leaders who change the world. With campuses in both Philadelphia and San Francisco, Wharton has over 850 staff, a faculty population of more than 235 renowned professors, and 5,000 undergraduate, MBA, executive MBA, and doctoral students. Each year 13,000 professionals from around the world advance their careers through Wharton Executive Education's individual, company-customized, and online programs. More than 104,000 Wharton alumni form a powerful global network of leaders who transform business every day. Wharton is home to a dynamic community of staff, bringing a wide range of skills, experiences, and perspectives. To learn more, visit . The Penn Wharton Budget Model (PWBM) is a non-partisan, research-based initiative that provides analysis to policymakers to assess the effects of policy on budgetary outcomes (government revenues and costs) and various economic variables. PWBM's work is widely cited and has been influential in many key recent policy discussions, including tax reform, budget reconciliation, immigration, Social Security, health care, infrastructure, pre-K education, paid family leave, universal income, and the federal debt. The PWBM team consists of roughly 30 Ph.D. economists, policy analysts, research analysts, software engineers, and developers. PWBM has a unique model - even relative to other scoring entities - that relies on a workflow between data processing, microsimulation (which utilizes large-scale Monte Carlo simulations), dozens of policy modules (including several tax calculators), and a large-scale stochastic macroeconomic overlapping generations (OLG) lifecycle model. An extensive code base, mostly in Python, underlies this workflow, and the model utilizes cutting-edge economic modeling, data science, machine learning, and cloud computing to project policy impacts. The models are frequently updated to reflect the latest economics and empirical research, and many of them require (large) datasets to calibrate them. PWBM is currently building a model automation pipeline to automate the forecasting process. The Data Engineer will be a member of the software engineering team and work closely with PWBM domain experts - economists, policy analysts, and research analysts - responsible for building and calibrating models using large, publicly and privately available datasets. The Data Engineer will design, build, and maintain the data infrastructure with the software engineering team; establish best practices for data ingestion and storage; and coach domain experts to write maintainable extract-transform-load (ETL) code. The Data Engineer will also contribute their expertise and insights to the model automation project to help make the automation pipeline robust to data changes. Position contingent upon funding. Job Description Job Responsibilities The data engineer will work with the software engineering team to design, build, and maintain data infrastructure that houses data obtained from external sources and PWBM model output and enables PWBM and external collaborators easy access to information that is versioned, accurate, and consistent. Establish best practices for data ingestion, storage, and retrieval. Work with PWBM domain experts to implement best practices in extract-transform-load (ETL) code, including producing readable, modular, and testable code. Help the Director of Engineering and Data and domain experts plan future infrastructure development. Mentor junior engineers, research analysts, and graduate students. Perform additional duties as assigned Qualifications Required Skills/Experience: A bachelor's degree in a relevant field, such as computer science, software engineering, statistics, mathematics, or engineering; and 3-5 years of experience; or equivalent. More than 2 years of post-degree experience as a data engineer in a team setting, and familiarity with current cloud data storage options, data modeling, data extraction (e.g., web scraping or using web APIs), automation (e.g., pipelining), and alerting/monitoring with process insights in mind. Demonstrated ability to write readable, modular, and testable code. Experience with modern software engineering best practices (e.g. automated testing, pair programming, and continuous integration). Solid ability to understand mathematical and statistical models. Strong written and verbal communication skills and the ability to collaborate successfully with teammates who have diverse technical backgrounds. The data engineer will work with individuals across a range of technical experience levels, so the candidate should be able to distill their thoughts into non-technical terms. Experience working with LLM-based coding tools. Experience with data frame packages/libraries in any programming language. Solid ability to identify requirements from discussions with domain experts and parse them into smaller stories/tasks. Preferred Skills: Knowledge of Python and pandas. Experience working with survey data or other microdata. Familiarity with major economic and demographic data sources (e.g. Census Bureau, Bureau of Labor Statistics, and Bureau of Economic Analysis). Experience working with data scientists or economists. Formal training in economics, public policy, or in quantitative disciplines such as statistics, engineering, and mathematics. Additional Information Staff positions at the Penn Wharton Budget Model are funded by external gifts and grants. This position is contingent upon both the continued availability of funding sources and the ongoing need for the role. It is an initial two-year term position, with potential renewal at the discretion of the faculty director. The position may be discontinued if funding sources are no longer available, if suitable replacement funding sources are not identified, or if the need for the position ceases to exist. Job Location - City, State Philadelphia, Pennsylvania Department / School Wharton School Pay Range $83,500.00 - $130,000.00 Annual Rate Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered. Equal Opportunity Statement The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law. Special Requirements Background checks may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job. University Benefits Health, Life, and Flexible Spending Accounts: Penn offers comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits to protect you and your family's health and welfare. You can also use flexible spending accounts to pay for eligible health care and dependent care expenses with pre-tax dollars. Tuition: Take advantage of Penn's exceptional tuition benefits. You, your spouse, and your dependent children can get tuition assistance here at Penn. Your dependent children are also eligible for tuition assistance at other institutions. Retirement: . click apply for full job details
