Data Science Analyst 2 Job ID: 292361 Location: Augusta University Full/Part Time: Full Time Regular/Temporary: About Us Augusta University is Georgia's innovation center for education and health care, training the next generation of innovators, leaders, and healthcare providers in classrooms and clinics on four campuses in Augusta and locations across the state. More than 12,000 students choose Augusta for educational opportunities at the center of Georgia's cybersecurity hub and experiential learning that blends arts and application, humanities, and the health sciences. Augusta is home to Georgia's only public academic health center, where groundbreaking research is creating a healthier, more prosperous Georgia, and world-class clinicians are bringing the medicine of tomorrow to patient care today. Our mission and values make Augusta University an institution like no other. Augusta University's distinct characteristics in education and research include real-world experiences and community engagement, as well as a culture of building community, corporate and government partnerships that address health, security, economic and societal concerns locally and across the state. 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 . Location Augusta University Our Health Sciences Campus: th Street, Augusta, GA 30912 Our Summerville Campus: 2500 Walton Way, Augusta, GA 30904 College/Department Information The Medical College of Georgia (MCG) is one of the nation's largest medical schools by class size, with 304 students per class. The MCG educational experience is anchored by the main campus in Augusta, with regional clinical campuses for third- and fourth-year students across the state, and two four-year campuses located in Athens (in partnership with the University of Georgia) and in Savannah (in partnership with Georgia Southern University). MCG's expanding partnerships with physicians and hospitals across Georgia currently provide more than 350 sites where students can experience the full spectrum of medicine, from complex care hospitals to small-town solo practices. MCG and its teaching hospitals also provide postgraduate education to approximately 575 residents and fellows in 50 different Accreditation Council for Graduate Medical Education-approved programs. Our researchers and clinicians focus on what most impacts the health of Georgia's and America's children and adults, including cardiovascular biology and disease, cancer, neurosciences and behavioral sciences, public and preventive health, regenerative and reparative medicine, personalized medicine and genomics. Our physician faculty also share their expertise with physicians and patients at about 100 clinics and hospitals statewide. Job Summary The Department of AI & Health seeks an experienced Data Scientist 2 to join our research unit and provide technical leadership in advancing our computational health research capabilities. This mid-level position combines hands-on data science expertise with team leadership responsibilities, playing a pivotal role in establishing our department as a leader in AI-driven health research. You will lead complex research projects involving medical imaging, electronic health records, genomics, and real-time patient monitoring data while mentoring team members and contributing to our growing portfolio of high-impact research in predictive diagnostics, personalized medicine, and clinical decision support systems. Your leadership will directly enable grant acquisition, accelerate publication output in top-tier journals, attract doctoral students and postdoctoral fellows, and establish valuable partnerships with clinical departments and external collaborators seeking robust computational capabilities. Responsibilities The responsibilities include, but are not limited to: Application Development and System Design Utilizes a solid understanding of fundamental design concepts during all stages within the Software Development Life Cycle (SDLC). Shared responsibility with team lead for the Design stage within the SDLC. Shared responsibility with junior developers for the following stages within the SDLC: Construction, Testing, Debugging, and Deployment. Analyzes and identifies solution-wide testing requirements. Investigates systematic and operational issues and identifies potential solutions. Flexibility with both SysOps and DevOps opportunities. Leverages advanced knowledge of Microsoft, open-source, and web standard technologies such as ASP. NET Web Forms, ASP.NET MVC, C#, CSS, HTML, JavaScript, jQuery, and T-SQL to design and develop technical solutions to new and existing problems with varying scale and complexity utilizing fundamental design concepts and department standards to support work at the intersection of longitudinal machine learning, multi-modal analysis, clinical informatics, and population health. Application Implementation and Maintenance Develops and maintains applications and databases by working with the team lead in evaluating client needs, analyzing requirements, and developing software systems across multiple projects. Arranges project requirements in programming sequence by analyzing requirements. Prepares workflow documents using knowledge of client capabilities, subject matter, development technologies, and logic. Confirms program operation, integrity, consistency, and standards compliance with each platform necessitated by the client. Communication Identifies and transcribes client requirements and requests using interpersonal skills and ability to translate to all technical or non-technical audiences. Provides design and requirements for user guide documentation and validates its content. Oversight of customer service tasks such as user training, user queries, operational problems, and system problems. Enhance staff accomplishments and competence by planning delivery of solutions, answering technical and procedural questions, teaching improved processes, and conveying general accessibility. Supervision Serves as team lead to junior application developers. Required Qualifications Bachelor's degree from an accredited college or university in Data Science, Computer Science, Biomedical Informatics, Statistics, Engineering, or a related field with three years related experience. Preferred Qualifications Prior involvement in healthcare, academic operations, or public sector analytics. Familiarity with EHR systems (Epic, Encompass) or academic admissions systems (AMCAS). Knowledge, Skills, & Abilities Ability to maintain confidentiality. Detail-oriented. Excellent interpersonal, verbal, and written communication skills. Proficient in Microsoft Office and other computer software/databases. Shift/Salary/Benefits Shift: Days/M-F (work outside of normal business hours will likely be required of an employee in an exempt level position) Pay Band: B11 Salary Range: $56,600/annually - $72,200/annually Salary to be commensurate with qualifications of the selected candidate within the established range (generally minimum-midpoint) of the position. Recruitment Period: 11/21/25 - Until Filled Augusta University offers a variety of benefits to full-time benefits-eligible employees and some of our half-time (or more) employees. Benefits that may be elected could include health insurance, dental insurance, life insurance, Teachers Retirement System (or Optional Retirement Plan), as well as earned vacation time, sick leave, and 13 paid holidays. Also, our full-time employees who have been employed with us successfully for more than 6 months can be considered for the Tuition Assistance Program. Consider applying with us today! Conditions of Employment All selected candidates are required to successfully pass a Background Check review prior to starting with Augusta University. If applicable for the specific position based on the duties: the candidate will also need to have a credit check completed for Positions of Trust and or approved departmental Purchase Card usage. Motor vehicle reports are required for positions that are required to drive an Augusta University vehicle. For Faculty Hires: Final candidates will be required to provide proof of completed academic degree(s) as well as post-secondary coursework in the form of original transcript(s). Those candidates trained by a foreign institution will also be required to provide an educational/credential evaluation. All employees are responsible for ensuring the confidentiality, availability, and integrity of sensitive patient, student, employee . click apply for full job details
01/14/2026
Full time
Data Science Analyst 2 Job ID: 292361 Location: Augusta University Full/Part Time: Full Time Regular/Temporary: About Us Augusta University is Georgia's innovation center for education and health care, training the next generation of innovators, leaders, and healthcare providers in classrooms and clinics on four campuses in Augusta and locations across the state. More than 12,000 students choose Augusta for educational opportunities at the center of Georgia's cybersecurity hub and experiential learning that blends arts and application, humanities, and the health sciences. Augusta is home to Georgia's only public academic health center, where groundbreaking research is creating a healthier, more prosperous Georgia, and world-class clinicians are bringing the medicine of tomorrow to patient care today. Our mission and values make Augusta University an institution like no other. Augusta University's distinct characteristics in education and research include real-world experiences and community engagement, as well as a culture of building community, corporate and government partnerships that address health, security, economic and societal concerns locally and across the state. 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 . Location Augusta University Our Health Sciences Campus: th Street, Augusta, GA 30912 Our Summerville Campus: 2500 Walton Way, Augusta, GA 30904 College/Department Information The Medical College of Georgia (MCG) is one of the nation's largest medical schools by class size, with 304 students per class. The MCG educational experience is anchored by the main campus in Augusta, with regional clinical campuses for third- and fourth-year students across the state, and two four-year campuses located in Athens (in partnership with the University of Georgia) and in Savannah (in partnership with Georgia Southern University). MCG's expanding partnerships with physicians and hospitals across Georgia currently provide more than 350 sites where students can experience the full spectrum of medicine, from complex care hospitals to small-town solo practices. MCG and its teaching hospitals also provide postgraduate education to approximately 575 residents and fellows in 50 different Accreditation Council for Graduate Medical Education-approved programs. Our researchers and clinicians focus on what most impacts the health of Georgia's and America's children and adults, including cardiovascular biology and disease, cancer, neurosciences and behavioral sciences, public and preventive health, regenerative and reparative medicine, personalized medicine and genomics. Our physician faculty also share their expertise with physicians and patients at about 100 clinics and hospitals statewide. Job Summary The Department of AI & Health seeks an experienced Data Scientist 2 to join our research unit and provide technical leadership in advancing our computational health research capabilities. This mid-level position combines hands-on data science expertise with team leadership responsibilities, playing a pivotal role in establishing our department as a leader in AI-driven health research. You will lead complex research projects involving medical imaging, electronic health records, genomics, and real-time patient monitoring data while mentoring team members and contributing to our growing portfolio of high-impact research in predictive diagnostics, personalized medicine, and clinical decision support systems. Your leadership will directly enable grant acquisition, accelerate publication output in top-tier journals, attract doctoral students and postdoctoral fellows, and establish valuable partnerships with clinical departments and external collaborators seeking robust computational capabilities. Responsibilities The responsibilities include, but are not limited to: Application Development and System Design Utilizes a solid understanding of fundamental design concepts during all stages within the Software Development Life Cycle (SDLC). Shared responsibility with team lead for the Design stage within the SDLC. Shared responsibility with junior developers for the following stages within the SDLC: Construction, Testing, Debugging, and Deployment. Analyzes and identifies solution-wide testing requirements. Investigates systematic and operational issues and identifies potential solutions. Flexibility with both SysOps and DevOps opportunities. Leverages advanced knowledge of Microsoft, open-source, and web standard technologies such as ASP. NET Web Forms, ASP.NET MVC, C#, CSS, HTML, JavaScript, jQuery, and T-SQL to design and develop technical solutions to new and existing problems with varying scale and complexity utilizing fundamental design concepts and department standards to support work at the intersection of longitudinal machine learning, multi-modal analysis, clinical informatics, and population health. Application Implementation and Maintenance Develops and maintains applications and databases by working with the team lead in evaluating client needs, analyzing requirements, and developing software systems across multiple projects. Arranges project requirements in programming sequence by analyzing requirements. Prepares workflow documents using knowledge of client capabilities, subject matter, development technologies, and logic. Confirms program operation, integrity, consistency, and standards compliance with each platform necessitated by the client. Communication Identifies and transcribes client requirements and requests using interpersonal skills and ability to translate to all technical or non-technical audiences. Provides design and requirements for user guide documentation and validates its content. Oversight of customer service tasks such as user training, user queries, operational problems, and system problems. Enhance staff accomplishments and competence by planning delivery of solutions, answering technical and procedural questions, teaching improved processes, and conveying general accessibility. Supervision Serves as team lead to junior application developers. Required Qualifications Bachelor's degree from an accredited college or university in Data Science, Computer Science, Biomedical Informatics, Statistics, Engineering, or a related field with three years related experience. Preferred Qualifications Prior involvement in healthcare, academic operations, or public sector analytics. Familiarity with EHR systems (Epic, Encompass) or academic admissions systems (AMCAS). Knowledge, Skills, & Abilities Ability to maintain confidentiality. Detail-oriented. Excellent interpersonal, verbal, and written communication skills. Proficient in Microsoft Office and other computer software/databases. Shift/Salary/Benefits Shift: Days/M-F (work outside of normal business hours will likely be required of an employee in an exempt level position) Pay Band: B11 Salary Range: $56,600/annually - $72,200/annually Salary to be commensurate with qualifications of the selected candidate within the established range (generally minimum-midpoint) of the position. Recruitment Period: 11/21/25 - Until Filled Augusta University offers a variety of benefits to full-time benefits-eligible employees and some of our half-time (or more) employees. Benefits that may be elected could include health insurance, dental insurance, life insurance, Teachers Retirement System (or Optional Retirement Plan), as well as earned vacation time, sick leave, and 13 paid holidays. Also, our full-time employees who have been employed with us successfully for more than 6 months can be considered for the Tuition Assistance Program. Consider applying with us today! Conditions of Employment All selected candidates are required to successfully pass a Background Check review prior to starting with Augusta University. If applicable for the specific position based on the duties: the candidate will also need to have a credit check completed for Positions of Trust and or approved departmental Purchase Card usage. Motor vehicle reports are required for positions that are required to drive an Augusta University vehicle. For Faculty Hires: Final candidates will be required to provide proof of completed academic degree(s) as well as post-secondary coursework in the form of original transcript(s). Those candidates trained by a foreign institution will also be required to provide an educational/credential evaluation. All employees are responsible for ensuring the confidentiality, availability, and integrity of sensitive patient, student, employee . click apply for full job details
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
Sr. Software Developer School of Medicine, Stanford, California, United States Information Technology Services Oct 29, 2025 Post Date 107317 Requisition # Stanford University is seeking an experienced Sr. Software Developer with a strong passion for biomedical informatics and advancing healthcare through the power of AI. This role involves leading the integration of large-scale biomedical data sources-such as radiology and pathology imaging, genomics, and electronic health records (EHR)-into Stanford's clinical data warehouse. The Sr. Software Developer will design, implement, and maintain both front-end and back-end solutions for healthcare applications, ensuring data is Findable, Accessible, Interoperable, and Reusable (FAIR). Key responsibilities include applying AI tools like Natural Language Processing (NLP) and Machine Learning (ML), managing data security, troubleshooting complex technical problems, and collaborating with diverse teams. This position offers the opportunity to contribute to cutting-edge healthcare research while mentoring junior engineers and overseeing critical projects. Duties include: • Propose, conceptualize, design, implement, and develop solutions for difficult and complex applications. • Contribute to all phases of a project, including systems analysis, program design, development, and implementation. Serve as project lead for some projects. • Oversee testing, debugging, change control, and documentation for major projects. • Lead and mentor professional staff, as necessary, working on all phases of application development projects. • Engage in long-term strategic planning.in collaboration with staff and project leadership. • Define complex application development administration and programming standards. • Oversee the support, maintenance, operation, upgrades of applications. • Troubleshoot and resolve complex technical problems. • Review the physical design of existing systems for optimizing performance. • Lead projects, as necessary, for special systems and application development in areas of complex problems. • Work with other technical professionals to develop standards and implement best practices. • Provide innovative programming and analysis. • May mentor junior software developers. - Other duties may also be assigned DESIRED QUALIFICATIONS: • BS in Software Engineering, Biostatistics, Bioinformatics or research-related program • Experience performing data analysis in research analyses and visualization work in a healthcare research or clinical setting • Fluency in SQL, Python and R • Strong knowledge of cloud platforms such as Google Cloud, Azure or AWS • Proficiency in containerization technologies such as Docker and container orchestration platforms like Kubernetes • Experience with CI/CD tools such as GitLab CI/CD or GitHub Actions • Solid programming skills and experience in scripting • Experience with data transformation and workflow tools such as dbt, Airflow or WDL • Strong knowledge of database architecture best practices • Strong interpersonal and communication skills to interact with technical and non-technical stakeholders • Excellent writing and analytical skills • Five years of experience collaborating as a computational biologist or biostatistician • Experience with common data models like OMOP, PCORnet or i2b2 • Experience with ontologies, terminologies, UMLS, or Semantic Web • Familiarity with Cloud computing paradigm • Experience with working in a medical school environment, and working with HIPAA PHI and other clinical EHR databases • Familiarity with LLMs, NLPs, ML, and other AI technologies EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree and eight years of relevant experience, or a combination of education and relevant experience. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): • Ability to quickly learn and adapt to new technologies and programming tools. • Demonstrated experience in designing, developing, testing, and deploying applications. • Strong understanding of data design, architecture, relational databases, and data modeling. • Thorough understanding of all aspects of software development life cycle and quality control practices. • Ability to define and solve logical problems for highly technical applications. • Strong communication skills with both technical and non-technical clients. • Demonstrated experience leading activities on structured team development projects. • Ability to select, adapt, and effectively use a variety of programming methods. • Ability to recognize and recommend needed changes in user and/or operations procedures. PHYSICAL REQUIREMENTS : • Constantly perform desk-based computer tasks. • Frequently sit, grasp lightly/fine manipulation. • Occasionally stand/walk, writing by hand. • Rarely use a telephone, lift/carry/push/pull objects that weigh up to 10 pounds. - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS: • May work extended hours, evening and weekends. • Travel on campus to schools/units. The expected pay range for this position is $169,728 to $194,585 per annum. Stanford University provides pay ranges representing its good faith estimate of the salary the university reasonably expects to pay for a position upon hire. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. WORK STANDARDS (from JDL) • Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. • Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. • Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, . Additional Information Schedule: Full-time Job Code: 4823 Employee Status: Regular Grade: L Requisition ID: 107317 Work Arrangement : Hybrid Eligible
01/14/2026
Full time
Sr. Software Developer School of Medicine, Stanford, California, United States Information Technology Services Oct 29, 2025 Post Date 107317 Requisition # Stanford University is seeking an experienced Sr. Software Developer with a strong passion for biomedical informatics and advancing healthcare through the power of AI. This role involves leading the integration of large-scale biomedical data sources-such as radiology and pathology imaging, genomics, and electronic health records (EHR)-into Stanford's clinical data warehouse. The Sr. Software Developer will design, implement, and maintain both front-end and back-end solutions for healthcare applications, ensuring data is Findable, Accessible, Interoperable, and Reusable (FAIR). Key responsibilities include applying AI tools like Natural Language Processing (NLP) and Machine Learning (ML), managing data security, troubleshooting complex technical problems, and collaborating with diverse teams. This position offers the opportunity to contribute to cutting-edge healthcare research while mentoring junior engineers and overseeing critical projects. Duties include: • Propose, conceptualize, design, implement, and develop solutions for difficult and complex applications. • Contribute to all phases of a project, including systems analysis, program design, development, and implementation. Serve as project lead for some projects. • Oversee testing, debugging, change control, and documentation for major projects. • Lead and mentor professional staff, as necessary, working on all phases of application development projects. • Engage in long-term strategic planning.in collaboration with staff and project leadership. • Define complex application development administration and programming standards. • Oversee the support, maintenance, operation, upgrades of applications. • Troubleshoot and resolve complex technical problems. • Review the physical design of existing systems for optimizing performance. • Lead projects, as necessary, for special systems and application development in areas of complex problems. • Work with other technical professionals to develop standards and implement best practices. • Provide innovative programming and analysis. • May mentor junior software developers. - Other duties may also be assigned DESIRED QUALIFICATIONS: • BS in Software Engineering, Biostatistics, Bioinformatics or research-related program • Experience performing data analysis in research analyses and visualization work in a healthcare research or clinical setting • Fluency in SQL, Python and R • Strong knowledge of cloud platforms such as Google Cloud, Azure or AWS • Proficiency in containerization technologies such as Docker and container orchestration platforms like Kubernetes • Experience with CI/CD tools such as GitLab CI/CD or GitHub Actions • Solid programming skills and experience in scripting • Experience with data transformation and workflow tools such as dbt, Airflow or WDL • Strong knowledge of database architecture best practices • Strong interpersonal and communication skills to interact with technical and non-technical stakeholders • Excellent writing and analytical skills • Five years of experience collaborating as a computational biologist or biostatistician • Experience with common data models like OMOP, PCORnet or i2b2 • Experience with ontologies, terminologies, UMLS, or Semantic Web • Familiarity with Cloud computing paradigm • Experience with working in a medical school environment, and working with HIPAA PHI and other clinical EHR databases • Familiarity with LLMs, NLPs, ML, and other AI technologies EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree and eight years of relevant experience, or a combination of education and relevant experience. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): • Ability to quickly learn and adapt to new technologies and programming tools. • Demonstrated experience in designing, developing, testing, and deploying applications. • Strong understanding of data design, architecture, relational databases, and data modeling. • Thorough understanding of all aspects of software development life cycle and quality control practices. • Ability to define and solve logical problems for highly technical applications. • Strong communication skills with both technical and non-technical clients. • Demonstrated experience leading activities on structured team development projects. • Ability to select, adapt, and effectively use a variety of programming methods. • Ability to recognize and recommend needed changes in user and/or operations procedures. PHYSICAL REQUIREMENTS : • Constantly perform desk-based computer tasks. • Frequently sit, grasp lightly/fine manipulation. • Occasionally stand/walk, writing by hand. • Rarely use a telephone, lift/carry/push/pull objects that weigh up to 10 pounds. - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS: • May work extended hours, evening and weekends. • Travel on campus to schools/units. The expected pay range for this position is $169,728 to $194,585 per annum. Stanford University provides pay ranges representing its good faith estimate of the salary the university reasonably expects to pay for a position upon hire. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. WORK STANDARDS (from JDL) • Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. • Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. • Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, . Additional Information Schedule: Full-time Job Code: 4823 Employee Status: Regular Grade: L Requisition ID: 107317 Work Arrangement : Hybrid Eligible
ML Data Engineer - Healthcare Data Curation & Cleaning (1 Year Fixed Term) School of Medicine, Stanford, California, United States Information Analytics Jun 03, 2025 Post Date 106579 Requisition University is seeking a Big Data Architect 1 for a 1 year fixed term (possibility of renewal) to design and develop applications, test and build automation tools and support the development of Big Data architecture and analytical solutions. About Us: The Department of Biomedical Data Science merges the disciplines of biomedical informatics, biostatistics, computer science and advances in AI. The intersection of these disciplines is applied to precision health, leveraging data across the entire medical spectrum, including molecular, tissue, medical imaging, EHR, biosensory and population data. About the Position: We are seeking an experienced ML Data Engineer to drive the programmatic curation, cleaning, and generation of healthcare data. In this role, you will focus exclusively on developing and maintaining automated, ML-accelerated pipelines that ensure high-quality data ready for machine learning applications. Your work will be pivotal in shaping the integrity of our data and supporting downstream predictive models in a complex healthcare environment. You Will Find This Position a Good Fit If: You are passionate about transforming raw healthcare data into valuable insights. You believe in the critical role of robust data curation in advancing machine learning in healthcare. You thrive in environments where you can work independently on complex data challenges while collaborating with multidisciplinary teams. You are excited to work with patient-level data and embrace challenges related to data diversity and complexity. Duties include: Design Big Data systems that are scalable, optimized and fault-tolerant. Work closely with scientific staff, IT professional and project managers to understand their data requirements for existing and future projects involving Big Data. Develop, test, implement, and maintain database management applications. Optimize and tune the system, perform software review and maintenance to ensure that data design elements are reusable, repeatable and robust. Contribute to the development of guidelines, standards, and processes to ensure data quality, integrity and security of systems and data appropriate to risk. Participate in and/or contribute to setting strategy and standards through data architecture and implementation, leveraging Big Data, analytics tools and technologies. Work with IT and data owners to understand the types of data collected in various databases and data warehouses. Research and suggest new toolsets/methods to improve data ingestion, storage, and data access. Key Responsibilities: Data Pipeline Engineering: Design, implement, and maintain robust pipelines for the programmatic cleaning, transformation, and curation of healthcare data. Develop automated processes to curate and validate data, ensuring accuracy and compliance with healthcare standards (e.g. OMOP CDM, FHIR). ML Data Engineering: Leverage core machine learning techniques to generate datasets, clean existing health records, join heterogeneous data sources, and enhance data quality for model training. Implement innovative solutions to detect and correct data inconsistencies and anomalies in large-scale healthcare datasets. Healthcare Data Expertise: Work extensively with patient-level health data, ensuring that data handling practices adhere to industry regulations and ethical standards. Utilize the OMOP Common Data Model (OMOP CDM) to standardize and harmonize disparate healthcare data sources, enhancing interoperability and scalability. Collaboration & Continuous Improvement: Collaborate closely with data scientists, clinical informaticians, and engineers to align data engineering practices with analytical and clinical requirements. Continuously monitor, troubleshoot, and optimize data workflows to support dynamic research and operational needs. The expected pay range for this position is $157,945 to $177,385 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at . For all other inquiries, please submit a contact form. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford welcomes applications from all who would bring additional dimensions to the University's research mission. DESIRED QUALIFICATIONS: 3+ years of experience in software development and data engineering with a strong focus on data cleaning, transformation, and creation. Proficiency in Python and experience with data processing libraries (e.g., Pandas, Polars, NumPy). Hands-on experience in building and maintaining automated data pipelines for large-scale data processing. Familiarity with machine learning frameworks (e.g., PyTorch, JAX, scikit-learn) as applied to data quality and augmentation tasks. Expertise in working with healthcare data, including familiarity with the OMOP Common Data Model (OMOP CDM). Strong experience in a Linux environment and comfort with UNIX command-line tools. Proven ability to work collaboratively in multidisciplinary teams and communicate technical concepts effectively. PREFERRED QUALIFICATIONS: Experience with cloud platforms (e.g., GCP, AWS, or Azure) and distributed computing frameworks. Proficiency with version control systems (e.g., Git) and containerization tools (e.g., Docker). Familiarity with healthcare data standards and regulatory requirements. EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree in scientific or analytic field and five years of relevant experience, or a combination of education and relevant experience. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): • Knowledge of key data structures algorithms, and techniques pertinent to systems that support high volume, velocity, or variety datasets (including data mining, machine learning, NLP, data retrieval). • Experience with relational, NoSQL, or NewSQL database systems and data modeling, structured and unstructured. • Experience in parallel and distributed data processing techniques and platforms (MPI, Map/Reduce, Batch). • Experience in scripting languages and experience in debugging them, experience with high performance/systems languages and techniques. • Knowledge of benchmark software development and programmable fields/systems, ability to analyze systems and data pipelines and propose solutions that leverage emerging technologies. • Ability to use and integrate security controls for web applications, mobile platforms, and backend systems. • Experience deploying reliable data systems and data quality management. • Ability to research, evaluate, architect, and deploy new tools, frameworks, and patterns to build scalable Big Data platforms. • Ability to document use cases, solutions and recommendations. • Demonstrated excellence in written and verbal communication skills. CERTIFICATIONS & LICENSES: None PHYSICAL REQUIREMENTS : • Frequently sit, grasp lightly, use fine manipulation and perform desk-based computer tasks, lift, carry, push pull objects that weigh to ten pounds. • Occasionally sit, use a telephone or write by hand. • Rarely kneel, crawl, climb, twist, bend, stoop, squat, reach or work above shoulders, sort, file paperwork or parts, operate foot and hand controls. - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. Additional Information Schedule: Full-time Job Code: 4734 Employee Status: Fixed-Term Grade: K Requisition ID: 106579 Work Arrangement : Hybrid Eligible
01/14/2026
Full time
ML Data Engineer - Healthcare Data Curation & Cleaning (1 Year Fixed Term) School of Medicine, Stanford, California, United States Information Analytics Jun 03, 2025 Post Date 106579 Requisition University is seeking a Big Data Architect 1 for a 1 year fixed term (possibility of renewal) to design and develop applications, test and build automation tools and support the development of Big Data architecture and analytical solutions. About Us: The Department of Biomedical Data Science merges the disciplines of biomedical informatics, biostatistics, computer science and advances in AI. The intersection of these disciplines is applied to precision health, leveraging data across the entire medical spectrum, including molecular, tissue, medical imaging, EHR, biosensory and population data. About the Position: We are seeking an experienced ML Data Engineer to drive the programmatic curation, cleaning, and generation of healthcare data. In this role, you will focus exclusively on developing and maintaining automated, ML-accelerated pipelines that ensure high-quality data ready for machine learning applications. Your work will be pivotal in shaping the integrity of our data and supporting downstream predictive models in a complex healthcare environment. You Will Find This Position a Good Fit If: You are passionate about transforming raw healthcare data into valuable insights. You believe in the critical role of robust data curation in advancing machine learning in healthcare. You thrive in environments where you can work independently on complex data challenges while collaborating with multidisciplinary teams. You are excited to work with patient-level data and embrace challenges related to data diversity and complexity. Duties include: Design Big Data systems that are scalable, optimized and fault-tolerant. Work closely with scientific staff, IT professional and project managers to understand their data requirements for existing and future projects involving Big Data. Develop, test, implement, and maintain database management applications. Optimize and tune the system, perform software review and maintenance to ensure that data design elements are reusable, repeatable and robust. Contribute to the development of guidelines, standards, and processes to ensure data quality, integrity and security of systems and data appropriate to risk. Participate in and/or contribute to setting strategy and standards through data architecture and implementation, leveraging Big Data, analytics tools and technologies. Work with IT and data owners to understand the types of data collected in various databases and data warehouses. Research and suggest new toolsets/methods to improve data ingestion, storage, and data access. Key Responsibilities: Data Pipeline Engineering: Design, implement, and maintain robust pipelines for the programmatic cleaning, transformation, and curation of healthcare data. Develop automated processes to curate and validate data, ensuring accuracy and compliance with healthcare standards (e.g. OMOP CDM, FHIR). ML Data Engineering: Leverage core machine learning techniques to generate datasets, clean existing health records, join heterogeneous data sources, and enhance data quality for model training. Implement innovative solutions to detect and correct data inconsistencies and anomalies in large-scale healthcare datasets. Healthcare Data Expertise: Work extensively with patient-level health data, ensuring that data handling practices adhere to industry regulations and ethical standards. Utilize the OMOP Common Data Model (OMOP CDM) to standardize and harmonize disparate healthcare data sources, enhancing interoperability and scalability. Collaboration & Continuous Improvement: Collaborate closely with data scientists, clinical informaticians, and engineers to align data engineering practices with analytical and clinical requirements. Continuously monitor, troubleshoot, and optimize data workflows to support dynamic research and operational needs. The expected pay range for this position is $157,945 to $177,385 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at . For all other inquiries, please submit a contact form. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford welcomes applications from all who would bring additional dimensions to the University's research mission. DESIRED QUALIFICATIONS: 3+ years of experience in software development and data engineering with a strong focus on data cleaning, transformation, and creation. Proficiency in Python and experience with data processing libraries (e.g., Pandas, Polars, NumPy). Hands-on experience in building and maintaining automated data pipelines for large-scale data processing. Familiarity with machine learning frameworks (e.g., PyTorch, JAX, scikit-learn) as applied to data quality and augmentation tasks. Expertise in working with healthcare data, including familiarity with the OMOP Common Data Model (OMOP CDM). Strong experience in a Linux environment and comfort with UNIX command-line tools. Proven ability to work collaboratively in multidisciplinary teams and communicate technical concepts effectively. PREFERRED QUALIFICATIONS: Experience with cloud platforms (e.g., GCP, AWS, or Azure) and distributed computing frameworks. Proficiency with version control systems (e.g., Git) and containerization tools (e.g., Docker). Familiarity with healthcare data standards and regulatory requirements. EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree in scientific or analytic field and five years of relevant experience, or a combination of education and relevant experience. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): • Knowledge of key data structures algorithms, and techniques pertinent to systems that support high volume, velocity, or variety datasets (including data mining, machine learning, NLP, data retrieval). • Experience with relational, NoSQL, or NewSQL database systems and data modeling, structured and unstructured. • Experience in parallel and distributed data processing techniques and platforms (MPI, Map/Reduce, Batch). • Experience in scripting languages and experience in debugging them, experience with high performance/systems languages and techniques. • Knowledge of benchmark software development and programmable fields/systems, ability to analyze systems and data pipelines and propose solutions that leverage emerging technologies. • Ability to use and integrate security controls for web applications, mobile platforms, and backend systems. • Experience deploying reliable data systems and data quality management. • Ability to research, evaluate, architect, and deploy new tools, frameworks, and patterns to build scalable Big Data platforms. • Ability to document use cases, solutions and recommendations. • Demonstrated excellence in written and verbal communication skills. CERTIFICATIONS & LICENSES: None PHYSICAL REQUIREMENTS : • Frequently sit, grasp lightly, use fine manipulation and perform desk-based computer tasks, lift, carry, push pull objects that weigh to ten pounds. • Occasionally sit, use a telephone or write by hand. • Rarely kneel, crawl, climb, twist, bend, stoop, squat, reach or work above shoulders, sort, file paperwork or parts, operate foot and hand controls. - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. Additional Information Schedule: Full-time Job Code: 4734 Employee Status: Fixed-Term Grade: K Requisition ID: 106579 Work Arrangement : Hybrid Eligible
Data Science Analyst 1 Job ID: 292359 Location: Augusta University Full/Part Time: Full Time Regular/Temporary: About Us Augusta University is Georgia's innovation center for education and health care, training the next generation of innovators, leaders, and healthcare providers in classrooms and clinics on four campuses in Augusta and locations across the state. More than 12,000 students choose Augusta for educational opportunities at the center of Georgia's cybersecurity hub and experiential learning that blends arts and application, humanities, and the health sciences. Augusta is home to Georgia's only public academic health center, where groundbreaking research is creating a healthier, more prosperous Georgia, and world-class clinicians are bringing the medicine of tomorrow to patient care today. Our mission and values make Augusta University an institution like no other. Augusta University's distinct characteristics in education and research include real-world experiences and community engagement, as well as a culture of building community, corporate and government partnerships that address health, security, economic and societal concerns locally and across the state. 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 . Location Augusta University Our Health Sciences Campus: th Street, Augusta, GA 30912 Our Summerville Campus: 2500 Walton Way, Augusta, GA 30904 College/Department Information The Medical College of Georgia (MCG) is one of the nation's largest medical schools by class size, with 304 students per class. The MCG educational experience is anchored by the main campus in Augusta, with regional clinical campuses for third- and fourth-year students across the state, and two four-year campuses located in Athens (in partnership with the University of Georgia) and in Savannah (in partnership with Georgia Southern University). MCG's expanding partnerships with physicians and hospitals across Georgia currently provide more than 350 sites where students can experience the full spectrum of medicine, from complex care hospitals to small-town solo practices. MCG and its teaching hospitals also provide postgraduate education to approximately 575 residents and fellows in 50 different Accreditation Council for Graduate Medical Education-approved programs. Our researchers and clinicians focus on what most impacts the health of Georgia's and America's children and adults, including cardiovascular biology and disease, cancer, neurosciences and behavioral sciences, public and preventive health, regenerative and reparative medicine, personalized medicine and genomics. Our physician faculty also share their expertise with physicians and patients at about 100 clinics and hospitals statewide. Job Summary The Department of AI & Health seeks a Data Scientist 1 to join our growing research unit at a transformative time in healthcare research. This position plays a critical role in advancing our computational capabilities and establishing our department as a leader in AI-driven health research. You will work on cutting-edge projects involving medical imaging, electronic health records, genomics, and real-time patient monitoring data, contributing to high-impact research in predictive diagnostics, personalized medicine, and clinical decision support systems. Your work will directly enable grant acquisition, accelerate publication output in top-tier journals, attract doctoral students and postdoctoral fellows, and establish valuable partnerships with clinical departments and external collaborators seeking robust computational capabilities. Responsibilities The responsibilities include, but are not limited to: Application Development and Maintenance Design and implement predictive models using AI/ML techniques on structured and unstructured data (e.g., admissions data, EHRs, radiology reports). Work at the intersection of longitudinal machine learning, multi-modal analysis, clinical informatics, and population health. Conduct comprehensive data preprocessing, feature engineering, and model validation. Evaluate model fairness, bias, and explainability. Translate insights into operational recommendations through dashboards, briefings, and stakeholder presentations. Support strategic initiatives, including student success analytics, department crowding models, and early detection algorithms. Collaboration and Communication Collaborate with clinicians, educators, and administrators to frame problems, understand data needs, and interpret model outputs. Translate insights into operational recommendations through dashboards, briefings, and stakeholder presentations. Required Qualifications Bachelor's degree from an accredited college or university in Computer Science, Biomedical Informatics, Statistics, Engineering, or a related field and one year of related experience. Preferred Qualifications Prior involvement in healthcare, academic operations, or public sector analytics. Familiarity with EHR systems (Epic, Encompass) or academic admissions systems (AMCAS). Knowledge, Skills, & Abilities Demonstrated experience with machine learning, natural language processing (NLP), or AI model development. Proficiency in Python, R, and data manipulation libraries (e.g., pandas, scikit-learn, TensorFlow/PyTorch). Experience working with clinical, academic, or institutional datasets preferred. Excellent communication skills and ability to translate complex technical findings for non-technical stakeholders. Shift/Salary/Benefits Shift: Days/M-F (work outside of normal business hours will likely be required of an employee in an exempt level position) Pay Band: B9 Salary Range: $48,800/annually - $50,000/annually Salary to be commensurate with qualifications of the selected candidate within the established range (generally minimum-midpoint) of the position. Recruitment Period: 11/21/25 - Until Filled Augusta University offers a variety of benefits to full-time benefits-eligible employees and some of our half-time (or more) employees. Benefits that may be elected could include health insurance, dental insurance, life insurance, Teachers Retirement System (or Optional Retirement Plan), as well as earned vacation time, sick leave, and 13 paid holidays. Also, our full-time employees who have been employed with us successfully for more than 6 months can be considered for the Tuition Assistance Program. Consider applying with us today! Conditions of Employment All selected candidates are required to successfully pass a Background Check review prior to starting with Augusta University. If applicable for the specific position based on the duties: the candidate will also need to have a credit check completed for Positions of Trust and or approved departmental Purchase Card usage. Motor vehicle reports are required for positions that are required to drive an Augusta University vehicle. For Faculty Hires: Final candidates will be required to provide proof of completed academic degree(s) as well as post-secondary coursework in the form of original transcript(s). Those candidates trained by a foreign institution will also be required to provide an educational/credential evaluation. All employees are responsible for ensuring the confidentiality, availability, and integrity of sensitive patient, student, employee, financial, business, etc. information by exercising sound judgment and adhering to cybersecurity and privacy policies during their employment and beyond. Other Information This position is also responsible for promoting a customer-friendly environment and providing superior service to our patients, students, faculty, and employees. "Augusta University is a patient-and family-centered care institution, where employees partner every day with patients and families for success." Augusta University is a tobacco-free environment, and the use of any tobacco products on any part of the campus, both inside and outside, is strictly prohibited. Equal Employment Opportunity Augusta University is proud to be an equal opportunity employer welcoming applicants from underrepresented groups, including individuals with disabilities and veterans. How To Apply Consider applying with us today! Select University Faculty & Staff > External Applicants if you are a candidate from outside the university Select University Faculty & Staff > Internal Applicants if you are a current university employee . click apply for full job details
01/14/2026
Full time
Data Science Analyst 1 Job ID: 292359 Location: Augusta University Full/Part Time: Full Time Regular/Temporary: About Us Augusta University is Georgia's innovation center for education and health care, training the next generation of innovators, leaders, and healthcare providers in classrooms and clinics on four campuses in Augusta and locations across the state. More than 12,000 students choose Augusta for educational opportunities at the center of Georgia's cybersecurity hub and experiential learning that blends arts and application, humanities, and the health sciences. Augusta is home to Georgia's only public academic health center, where groundbreaking research is creating a healthier, more prosperous Georgia, and world-class clinicians are bringing the medicine of tomorrow to patient care today. Our mission and values make Augusta University an institution like no other. Augusta University's distinct characteristics in education and research include real-world experiences and community engagement, as well as a culture of building community, corporate and government partnerships that address health, security, economic and societal concerns locally and across the state. 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 . Location Augusta University Our Health Sciences Campus: th Street, Augusta, GA 30912 Our Summerville Campus: 2500 Walton Way, Augusta, GA 30904 College/Department Information The Medical College of Georgia (MCG) is one of the nation's largest medical schools by class size, with 304 students per class. The MCG educational experience is anchored by the main campus in Augusta, with regional clinical campuses for third- and fourth-year students across the state, and two four-year campuses located in Athens (in partnership with the University of Georgia) and in Savannah (in partnership with Georgia Southern University). MCG's expanding partnerships with physicians and hospitals across Georgia currently provide more than 350 sites where students can experience the full spectrum of medicine, from complex care hospitals to small-town solo practices. MCG and its teaching hospitals also provide postgraduate education to approximately 575 residents and fellows in 50 different Accreditation Council for Graduate Medical Education-approved programs. Our researchers and clinicians focus on what most impacts the health of Georgia's and America's children and adults, including cardiovascular biology and disease, cancer, neurosciences and behavioral sciences, public and preventive health, regenerative and reparative medicine, personalized medicine and genomics. Our physician faculty also share their expertise with physicians and patients at about 100 clinics and hospitals statewide. Job Summary The Department of AI & Health seeks a Data Scientist 1 to join our growing research unit at a transformative time in healthcare research. This position plays a critical role in advancing our computational capabilities and establishing our department as a leader in AI-driven health research. You will work on cutting-edge projects involving medical imaging, electronic health records, genomics, and real-time patient monitoring data, contributing to high-impact research in predictive diagnostics, personalized medicine, and clinical decision support systems. Your work will directly enable grant acquisition, accelerate publication output in top-tier journals, attract doctoral students and postdoctoral fellows, and establish valuable partnerships with clinical departments and external collaborators seeking robust computational capabilities. Responsibilities The responsibilities include, but are not limited to: Application Development and Maintenance Design and implement predictive models using AI/ML techniques on structured and unstructured data (e.g., admissions data, EHRs, radiology reports). Work at the intersection of longitudinal machine learning, multi-modal analysis, clinical informatics, and population health. Conduct comprehensive data preprocessing, feature engineering, and model validation. Evaluate model fairness, bias, and explainability. Translate insights into operational recommendations through dashboards, briefings, and stakeholder presentations. Support strategic initiatives, including student success analytics, department crowding models, and early detection algorithms. Collaboration and Communication Collaborate with clinicians, educators, and administrators to frame problems, understand data needs, and interpret model outputs. Translate insights into operational recommendations through dashboards, briefings, and stakeholder presentations. Required Qualifications Bachelor's degree from an accredited college or university in Computer Science, Biomedical Informatics, Statistics, Engineering, or a related field and one year of related experience. Preferred Qualifications Prior involvement in healthcare, academic operations, or public sector analytics. Familiarity with EHR systems (Epic, Encompass) or academic admissions systems (AMCAS). Knowledge, Skills, & Abilities Demonstrated experience with machine learning, natural language processing (NLP), or AI model development. Proficiency in Python, R, and data manipulation libraries (e.g., pandas, scikit-learn, TensorFlow/PyTorch). Experience working with clinical, academic, or institutional datasets preferred. Excellent communication skills and ability to translate complex technical findings for non-technical stakeholders. Shift/Salary/Benefits Shift: Days/M-F (work outside of normal business hours will likely be required of an employee in an exempt level position) Pay Band: B9 Salary Range: $48,800/annually - $50,000/annually Salary to be commensurate with qualifications of the selected candidate within the established range (generally minimum-midpoint) of the position. Recruitment Period: 11/21/25 - Until Filled Augusta University offers a variety of benefits to full-time benefits-eligible employees and some of our half-time (or more) employees. Benefits that may be elected could include health insurance, dental insurance, life insurance, Teachers Retirement System (or Optional Retirement Plan), as well as earned vacation time, sick leave, and 13 paid holidays. Also, our full-time employees who have been employed with us successfully for more than 6 months can be considered for the Tuition Assistance Program. Consider applying with us today! Conditions of Employment All selected candidates are required to successfully pass a Background Check review prior to starting with Augusta University. If applicable for the specific position based on the duties: the candidate will also need to have a credit check completed for Positions of Trust and or approved departmental Purchase Card usage. Motor vehicle reports are required for positions that are required to drive an Augusta University vehicle. For Faculty Hires: Final candidates will be required to provide proof of completed academic degree(s) as well as post-secondary coursework in the form of original transcript(s). Those candidates trained by a foreign institution will also be required to provide an educational/credential evaluation. All employees are responsible for ensuring the confidentiality, availability, and integrity of sensitive patient, student, employee, financial, business, etc. information by exercising sound judgment and adhering to cybersecurity and privacy policies during their employment and beyond. Other Information This position is also responsible for promoting a customer-friendly environment and providing superior service to our patients, students, faculty, and employees. "Augusta University is a patient-and family-centered care institution, where employees partner every day with patients and families for success." Augusta University is a tobacco-free environment, and the use of any tobacco products on any part of the campus, both inside and outside, is strictly prohibited. Equal Employment Opportunity Augusta University is proud to be an equal opportunity employer welcoming applicants from underrepresented groups, including individuals with disabilities and veterans. How To Apply Consider applying with us today! Select University Faculty & Staff > External Applicants if you are a candidate from outside the university Select University Faculty & Staff > Internal Applicants if you are a current university employee . click apply for full job details
Posting Number: PG191501PD Position Number: Position Type: Post Doc Department ID: 140401 - Electrical & Computer Engineering Department: 140401 - Electrical & Computer Engineering Job City & State: Raleigh, NC Essential Job Duties: The primary purpose of this position is to support and advance research in the areas of integrated sensing and communication (ISAC), machine learning for radar and wireless systems, and software-defined radio (SDR) based developments in sensing/communication areas. The postdoctoral fellow will play a key role in conducting innovative research, mentoring graduate students, disseminating findings through high-impact publications, and supporting the preparation of competitive research proposals. This position is critical to maintaining the lab's momentum in federally funded research and expanding its impact in next-generation radar and communication technologies. Duties and responsibilities include: Designing and implementing algorithms for joint radar and communication system architectures, with an emphasis on integrated sensing and communication (ISAC). Applying and developing novel machine learning techniques for radar, remote sensing and wireless communication areas based on project targets. Prototyping signal processing algorithms using software-defined radio (SDR) platforms (e.g., USRP, GNU Radio, MATLAB/Simulink). Leading and collaborating on journal and conference publications to disseminate research findings. Advising and mentoring graduate and undergraduate research students. Supporting the preparation and writing of new research proposals aligned with the lab's mission and funding agency priorities. Participating in weekly research meetings and project reviews to coordinate progress and communicate results to project stakeholders. Supporting experiments over the NSF AERPAW Platform Wolfpack Perks and Benefits: As a Pack member, you belong here, and can enjoy exclusive perks designed to enhance your personal and professional well-being. What we offer: Medical, Dental, Vision, Retirement and Leave Faculty and Staff Assistance Program Enhance your career with LEAD courses Attend non-revenue generating sporting events for free. Attain Work-life balance with our Childcare benefits, Wellness & Recreation Membership , and Wellness Programs that aim to build a thriving wolfpack community. Disclaimer: Perks and Benefit eligibility is based on Part-Time or Full-Time Employment status. Eligibility and Employer Sponsored Plans can be found within each of the links offered. Work Schedule: Monday - Friday Department Required Skills: Software-Defined Radio (SDR) Prototyping: Proficiency in implementing algorithms on SDR platforms such as USRP, using tools like GNU Radio, MATLAB/Simulink, or Python/C++ with real-time signal capture and analysis. Expertise in Signal processing and communications: Deep understanding of fundamental signal processing and communication theory is needed. Additional knowledge on radar, remote sensing, array signal processing, beamforming, target detection/tracking, and spectrum sharing techniques are a plus. Integrated Sensing and Communication (ISAC): Familiarity with joint radar- communication system concepts, co-design strategies, and emerging research trends in dual-function RF systems. Machine Learning for Sensing and Communication: Experience applying deep learning, compressed sensing, or statistical learning methods to problems in radar imaging, classification, channel estimation, or spectrum inference . Scientific Communication and Writing: Demonstrated ability to author high- quality journal and conference papers, with strong technical writing and presentation skills. Research Collaboration and Advising: Experience working in interdisciplinary teams, mentoring graduate students, and contributing to proposal development in response to federal funding calls (e.g., NSF, DoD, NASA). Programming and Simulation Tools: Proficiency in Python, MATLAB, and common deep learning frameworks (e.g., PyTorch, TensorFlow) are required. Preferred Years Experience, Skills, Training, Education: N/A Required License or Certification: N/A Valid NC Driver's License required?: No Commercial Driver's License Required?: No Anticipated Hiring Range: $59,000 to $ 65,000 Job Open Date: 07/03/2025 Quick Link: EEO: NC State University is an equal opportunity employer. All qualified applicants will receive equal opportunities for employment without regard to age, color, disability, gender identity, genetic information, national origin, race, religion, sex (including pregnancy), sexual orientation, and veteran status. The University encourages all qualified applicants, including protected veterans and individuals with disabilities, to apply. Individuals with disabilities requiring disability-related accommodations in the application and interview process are welcome to contact to speak with a representative of the Office of Equal Opportunity. If you have general questions about the application process, you may contact Human Resources at or . Final candidates are subject to criminal & sex offender background checks. Some vacancies also require credit or motor vehicle checks. Degree(s) must be obtained prior to start date in order to meet qualifications and receive credit. NC State University participates in E-Verify. Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States.
01/14/2026
Full time
Posting Number: PG191501PD Position Number: Position Type: Post Doc Department ID: 140401 - Electrical & Computer Engineering Department: 140401 - Electrical & Computer Engineering Job City & State: Raleigh, NC Essential Job Duties: The primary purpose of this position is to support and advance research in the areas of integrated sensing and communication (ISAC), machine learning for radar and wireless systems, and software-defined radio (SDR) based developments in sensing/communication areas. The postdoctoral fellow will play a key role in conducting innovative research, mentoring graduate students, disseminating findings through high-impact publications, and supporting the preparation of competitive research proposals. This position is critical to maintaining the lab's momentum in federally funded research and expanding its impact in next-generation radar and communication technologies. Duties and responsibilities include: Designing and implementing algorithms for joint radar and communication system architectures, with an emphasis on integrated sensing and communication (ISAC). Applying and developing novel machine learning techniques for radar, remote sensing and wireless communication areas based on project targets. Prototyping signal processing algorithms using software-defined radio (SDR) platforms (e.g., USRP, GNU Radio, MATLAB/Simulink). Leading and collaborating on journal and conference publications to disseminate research findings. Advising and mentoring graduate and undergraduate research students. Supporting the preparation and writing of new research proposals aligned with the lab's mission and funding agency priorities. Participating in weekly research meetings and project reviews to coordinate progress and communicate results to project stakeholders. Supporting experiments over the NSF AERPAW Platform Wolfpack Perks and Benefits: As a Pack member, you belong here, and can enjoy exclusive perks designed to enhance your personal and professional well-being. What we offer: Medical, Dental, Vision, Retirement and Leave Faculty and Staff Assistance Program Enhance your career with LEAD courses Attend non-revenue generating sporting events for free. Attain Work-life balance with our Childcare benefits, Wellness & Recreation Membership , and Wellness Programs that aim to build a thriving wolfpack community. Disclaimer: Perks and Benefit eligibility is based on Part-Time or Full-Time Employment status. Eligibility and Employer Sponsored Plans can be found within each of the links offered. Work Schedule: Monday - Friday Department Required Skills: Software-Defined Radio (SDR) Prototyping: Proficiency in implementing algorithms on SDR platforms such as USRP, using tools like GNU Radio, MATLAB/Simulink, or Python/C++ with real-time signal capture and analysis. Expertise in Signal processing and communications: Deep understanding of fundamental signal processing and communication theory is needed. Additional knowledge on radar, remote sensing, array signal processing, beamforming, target detection/tracking, and spectrum sharing techniques are a plus. Integrated Sensing and Communication (ISAC): Familiarity with joint radar- communication system concepts, co-design strategies, and emerging research trends in dual-function RF systems. Machine Learning for Sensing and Communication: Experience applying deep learning, compressed sensing, or statistical learning methods to problems in radar imaging, classification, channel estimation, or spectrum inference . Scientific Communication and Writing: Demonstrated ability to author high- quality journal and conference papers, with strong technical writing and presentation skills. Research Collaboration and Advising: Experience working in interdisciplinary teams, mentoring graduate students, and contributing to proposal development in response to federal funding calls (e.g., NSF, DoD, NASA). Programming and Simulation Tools: Proficiency in Python, MATLAB, and common deep learning frameworks (e.g., PyTorch, TensorFlow) are required. Preferred Years Experience, Skills, Training, Education: N/A Required License or Certification: N/A Valid NC Driver's License required?: No Commercial Driver's License Required?: No Anticipated Hiring Range: $59,000 to $ 65,000 Job Open Date: 07/03/2025 Quick Link: EEO: NC State University is an equal opportunity employer. All qualified applicants will receive equal opportunities for employment without regard to age, color, disability, gender identity, genetic information, national origin, race, religion, sex (including pregnancy), sexual orientation, and veteran status. The University encourages all qualified applicants, including protected veterans and individuals with disabilities, to apply. Individuals with disabilities requiring disability-related accommodations in the application and interview process are welcome to contact to speak with a representative of the Office of Equal Opportunity. If you have general questions about the application process, you may contact Human Resources at or . Final candidates are subject to criminal & sex offender background checks. Some vacancies also require credit or motor vehicle checks. Degree(s) must be obtained prior to start date in order to meet qualifications and receive credit. NC State University participates in E-Verify. Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States.