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Digital Library Product and Service Manager University Libraries, Stanford, California, United States New Information Technology Services 4 hours ago Post Date 108045 Requisition # The Libraries values are rooted in a commitment of mutual respect, the idea that every member of the staff has something to contribute, and that learning is constant.We seek a team member who is ready to share their skills and perspectives.This position is dual posted at level 2 and 3. This position is suited to candidates who thrive on supporting others to achieve their goals, who embrace curiosity and exploration with technology, and enjoy working in a dynamic and highly collaborative environment. An ideal candidate will bring experience with digital librarianship, familiarity with research practice, understanding of the open source ethos and the software development lifecycle, knowledge of the digital library discovery landscape, and capacity for hands-on technical analysis and management of digital content. About Stanford Libraries: Stanford Libraries has a network of over 15 libraries with over 400 employees. We are committed to fueling the teaching, learning and research across Stanford by acquiring, stewarding, and making available a robust collection, currently in excess of 12 million items. Everyone in the organization plays a vital role in fulfilling that objective. Our dedication to discoverability and information management also has us engaged in dynamic global partnerships. We are constantly building and strengthening our organization, and we recognize striving for excellence is a marathon and not a sprint. We are constantly trying to strike the right pace and admit there are times when we find ourselves at a fast jog. While we hope to always find candidates who fit within our organization, what we truly seek is someone who will add to our culture, our profession as well as the greater academic arena. We are invested in the success of our teams and the individuals who represent Stanford Libraries. About the Position: The Digital Library Product and Service Manager (DLPSM) will report to the Associate Director for Digital Library Services in the Digital Library Systems and Services (DLSS) division of the Libraries. The division is based on the historic campus of Stanford University in Stanford, California. The position is eligible for remote work. The Digital Library Product and Service Manager will join a high performing team including digital library service managers, product owners, systems analysts, data scientists, and project managers in DLSS, the department within Stanford University Libraries (SUL) responsible for the development, promotion, delivery, and continual improvement of digital library services for the Stanford community and the research community more broadly. The role's primary responsibility is to manage and advance two established programs at Stanford University Libraries: Spotlight Exhibits and Virtual Tribunals. The DLPSM will serve as the product and service manager for Spotlight Exhibits, SUL's online platform for showcasing digital library collections. They will work closely with software development teams at SUL and in the Spotlight open source community to routinely maintain and enhance its features and capabilities over time as digital content, user needs and online technologies evolve. They will directly support SUL collection managers, library curators and their partners in their adoption and ongoing use of Spotlight to promote discovery and use of Stanford's extensive collections. They will lead a service team to promote collaborative, participatory service development with library colleagues. They will also support faculty and researchers at Stanford who aim to showcase their work through teaching and broader online dissemination to reach global audiences. Further they will actively be involved and engage with fellow digital library staff in ongoing efforts to explore and re-imagine the future of digital library collection discovery and access. The DLPSM will also serve as the product and service manager for Virtual Tribunals (VT), a collaboration between SUL and the Stanford CHRIJ to compile a comprehensive, searchable digital archive database of international criminal law and tribunal records, from post-World War II war crimes trials through to contemporary courts. Alongside content contributors, subject matter experts, data scientists, engineers and archivists, the DLPSM manages and executes discrete digital collections projects, scoping timelines and resource requirements, engaging with digitization and metadata vendors, developing project plans, specifying and reviewing work packages, tracking progress and communicating outcomes. The size and nature of the VT collection which is made available via Stanford's Spotlight has grown significantly in the past five years; this role is positioned to build on recent successes to continue to heighten VT's international visibility, to develop new partnerships and attract funding, and to advance the usability of the database through the introduction of new technologies. Beyond these two primary focus areas, they will contribute to organizational portfolio analysis, continually helping to surface, assess, understand, and communicate the business needs of the library's evolving digital programs and initiatives. They will work with their teammates and DLSS leadership to inform prioritization and decision making where the outcomes impact or depend on the services and resources of DLSS and adjacent units. And they will contribute to team efforts to ensure our systems and services support the organization's mission and values while promoting a culture of collaboration, peer support and professional development. CORE DUTIES Gather and document functional and business requirements for complex services. Analyze new business requirements, assist with feasibility of enhancement requests, system functionality, current system use and user needs. Specify functional analysis and design and work with developers and analysts to recommend solutions and resolve system and/or data issues. Perform testing of new systems, upgrades and patching of existing systems; plan, conduct and document results of testing. Review, research and evaluate software to determine its usefulness and appropriateness as related to existing or proposed business systems; assist or develop preliminary and detailed system design documentation. Advise users requiring assistance in solving complex problems or issues regarding business systems. Analyze data and provide data sets to users for analysis. May include development of operational and analytical reports for end users. Develop and execute user support plans and processes. Develop and deliver training materials. Serve as service manager, managing day-to-day activities associated with the lifecycle of the service. Serve as product owner on work cycles. May also serve as project lead on several concurrent projects. Conduct and synthesize research to inform decision making and planning. Make recommendations. Liaise with external vendors or partners in support of a business system, which may include coordination of system development or integration, implementation and/or operations. - Other duties may also be assigned. MINIMUM REQUIREMENTS: Education & Experience: IT Business Analyst 2: Bachelors + 5 years experience or a combination of education and relevant experience. IT Business Analyst 3: Bachelors + 8 years experience or a combination of education and relevant experience. Knowledge, Skills and Abilities: Knowledge of computer system capabilities, business processes, and workflow. Experience with enterprise applications and understanding of database and index driven applications. Strong understanding of the software development life cycle. Current knowledge of changes and advances in computer and data technology. Skill in conducting interviews and facilitating group meetings. Skill in developing and conducting training programs. Excellent communication skills, both written and verbal, including the ability to bridge functional and technical resources by communicating effectively with individuals of varying systems expertise and business needs. Strong listening, negotiation, and conflict resolution skills. Ability to develop and execute system test plans. Ability to document business systems. Proven problem solving and analytical thinking and ability to approach problems logically and systematically. Strong project management skills, interpersonal skills, and customer service orientation Capabilities in the following: data mapping, conversion, table structure knowledge, documentation skills, test scripts development, functional analysis, coordination of user acceptance and sign-off, fit/gap analysis, requirements documentation and process flow charting. PHYSICAL REQUIREMENTS : Constantly perform desk-based computer tasks. Frequently sit, grasp lightly/fine manipulation. Occasionally stand/walk, use a telephone. Rarely writing by hand, lift/carry/push/pull objects that weigh up to 10 pounds. - Consistent with its obligations under the law . click apply for full job details

Job Duties: Design and build a data warehouse using computingbased data cloud (Snowflake) for machine learning, data analysis, self-serve analytics and reporting needs. Develop Extract, Transform, Load (ETL) pipelines to orchestrate execution of scripts, automate data transformation and loading data into data warehouses. Perform data cleansing, validation, testing and schema design to ensure accuracy and reliability of data insights. Manage and build automated workflows and monitor these pipelines and DAGs (Directed Acyclic Graphs). Identify and work on improvements by automating manual processes to optimize data delivery, re-design infrastructure for more scalability using python & sql. Collaborate with cross-functional teams including data engineers, analysts and data scientists to understand the business logic and needs to create an effective and efficient pipeline and data model. Create ad-hoc report/data visualizations based on user requirements. Participate in ETL flow design reviews and recommend solutions to improve processes. Perform data quality checks and alerting to identify issues and resolve bugs in a timely manner. Participate in source code and design reviews in a software development lifecycle (SDLC) driven environment using technical, functional, and domain knowledge. Identify issues or gaps and suggest improvements to the team processes. Provide support for customer requests for all the products handled by the team. Full-time telecommuting is an option. Minimum Requirements: Masters degree (or its foreign degree equivalent) in Analytics, Data Science, Engineering (any field), or a related quantitative discipline, and six (6) months of experience in the job offered or in any occupation in related field. Special Skill Requirements: 1. Data warehouse design and dimensional modeling 2. Extract, Transform, Load (ETL) 3. SQL 4. Python 5. Data Visualization (Tableau or Power BI) 6. Gitlab 7. Azure 8. PySpark 9. OLAP and OLTP system experience (MySQL Database, Postgres DB, or Snowflake) 10. Machine Learning 11. Data Pipeline - Performance & Scalability Techniques. Any suitable combination of education, training and/or experience is acceptable. Full-time telecommuting is an option. Salary: $177,813.00 - $195,594.00 per annum. Submit resume with references to: Req.# 53.2 at: ATTN: HR,

Program Analyst (7398) Job 82113 - Berkeley Institute for Data Science (BIDS) About Berkeley At the University of California, Berkeley, we are dedicated to fostering a community where everyone feels welcome and can thrive. Our culture of openness, freedom and belonging make it a special place for students, faculty and staff. As a world-leading institution, Berkeley is known for its academic and research excellence, public mission, diverse student body, and commitment to equity and social justice. Since our founding in 1868, we have driven innovation, creating global intellectual, economic and social value. We are looking for applicants who reflect California's diversity and want to be part of an inclusive, equity-focused community that views education as a matter of social justice. Please consider whether your values align with our Guiding Values and Principles , Principles of Community , and Strategic Plan . At UC Berkeley, we believe that learning is a fundamental part of working, and provide space for supportive colleague communities via numerous employee resource groups (staff organizations). Our goal is for everyone on the Berkeley campus to feel supported and equipped to realize their full potential. We actively support this by providing all of our full-time staff employees with at least 80 hours (10 days) of paid time per year to engage in professional development activities. Find out more about how you can grow your career at UC Berkeley. Departmental Overview The Berkeley Institute for Data Science (BIDS - ) was founded in 2013 to build on Berkeley's strength in data science with a multidisciplinary emphasis. BIDS aims to facilitate and enhance the development and application of cutting-edge data science techniques in the biological, physical, social, and engineering sciences. Today, BIDS is part of the new College of Computing, Data Science and Society (CDSS), where it serves as a hub for interdisciplinary research, tool development, and exchange of ideas between methodologies in computing, statistics, and AI. BIDS connects with domain experts from across the entire disciplinary spectrum on campus, and hosts collaborations with local and national partners, including Lawrence Berkeley National Lab and NASA, within the unique intellectual ecosystem of Berkeley. As CDSS further advances UC Berkeley's eminence in Data Science research and education, BIDS serves as a central hub connecting scholars on campus, as well as reaching out to other Berkeley institutions, including LBNL, the Simons Laufer Mathematical Sciences Institute, the Space Sciences Laboratory, the International Computer Science Institute, and the SkyDeck Startup Incubator. BIDS' expertise in open-source tool development and open science makes it an ideal place to be a home for communities of practice around open knowledge, at a time when both open-source software is becoming the norm for research computing and when open science ideas are becoming part of national science policies across multiple agencies. From this perspective, BIDS will help scholars from different fields to find shared needs, interests, and ideas and build new collaborations. BIDS also aims to foster conversations regarding the role of Science and Society in the development of new tools and systems for AI. As a discipline-neutral environment, it will provide open space for emerging work ranging from the representation of scientific knowledge in AI models and the use of AI as a scientific instrument, to explorations with social scientists and humanists of questions at the intersection of the human experience, our social context, and the role of AI in our lives. Reporting to the Assistant Dean for Interdisciplinary Initiatives, the Program Analyst manages a wide variety of analyses, strategies, and implementations to support the development and success of interdisciplinary initiatives in CDSS. The PA works closely with members of the Dean's Cabinet and centers and institutes within and affiliated with CDSS. Implements strategic initiatives for the college, including the Dean's Distinguished Lecture series and the State of the Planet Lectures Series, as well as staffing and research for a variety of committees, working groups, and task forces. The Program Analyst collaborates closely with faculty and staff of CDSS interdisciplinary units to support key objectives. This individual integrates input and lessons learned from across campus to understand the relative opportunities and challenges associated with new programs, such as research initiatives and corporate engagement strategy; works with key stakeholders to develop and implement the initiative. Manages a wide variety of internal and public-facing programs, including awards, lectures, and research convenings, especially related to core themes, including environment, social wellbeing, and human health. Application Review Date The First Review Date for this job is: 11/10/25 - Open until filled Responsibilities 20% Proposes and provides staffing for policy and planning committees, task forces, and working groups to meet the academic and operational goals of the college's interdisciplinary mission. Provides analysis and committee support for strategic and ad hoc efforts, including industry engagement, funding strategy, and efforts around CDSS research themes. Implements actions and events as recommended. Collaborates with the leadership of key units and programs, such as the Berkeley Institute for Data Science (BIDS), the Bakar Institute of Digital Materials for the Planet (BIDMaP), and others. 10% Proposes a strategy for programmatic and structural needs to promote interdisciplinary collaboration, specifically related to faculty-defined priorities for interdisciplinary research and identified intellectual themes. Incorporates recommendations from faculty committees, center directors, and individuals. Coordinates with faculty experts and stakeholders to generate content. 15% Performs ad hoc, analytical studies as needed for the wide variety of programs and complex issues for the wide variety of topics that faculty committees are handling. Determines, in collaboration with committee chairs, what materials will be constructive in advance of meetings and in follow-up; prepares materials and distributes to maximize committee productivity and limit faculty administrative burden. Provides analyses of internal and external corporate engagement programs as benchmarks. Performs budget, financial, academic, data, and systems analysis. Collaborates with executive leadership, academic leadership, program coordinators, and managers, to enhance corporate engagement strategy, communication, and implementation in CDSS. 15% Develops proposals to fund programming in collaboration with college leadership and/or leadership of interdisciplinary centers and institutes, and involved faculty. For philanthropic proposals, collaborates closely with Development. Researches complex programs, benchmarks similar processes, distils scientific data, and communicates plans clearly in writing. 15% Collaborates with events staff, faculty committees, faculty stakeholders, and the college leadership team to plan lectures and events. Liaises between faculty committees, which will set objectives, and the events staff to meet the objectives of each event. Coordinates implementation with cross-organizational departments or external entities. Prepares briefings, content, draft questions for panels, and talking points or scripts for leadership, including the dean. Establishes and maintains contacts internally and with external constituents for the collection and exchange of data. 5% Conducts post-implementation analysis to determine the need for further enhancements, finer distinctions, and/or additional process/policy components for the purpose of maintaining and improving event quality and stakeholder engagement over time. Tracks progress and prepares reports, including donor reports, in collaboration with development, to document results, including for donor-funded lectures and events. 5% Researches and summarizes best practices among peers on and off campus. Develops process and procedures handbooks to increase efficiency and process understanding, facilitates staff and faculty objectives when working through relevant processes, and promotes process transparency and increased understanding of best practices. Conducts programmatic benchmarks. 5% Research, monitors and analyzes regulations, legislation, research literature, and UC policies for a variety of needs within the college, such as preparing draft RFI responses to funding agencies. Prepares directives, regulations, technical guidance, and other instructions for issuance to stakeholders. 5% Develops scope of work, budgets, and reports for project requirements. 5% Other duties as assigned. Required Qualifications Knowledge of common organization, or research-specific, and other computer application programs. Excellent communication and interpersonal skills to communicate effectively, both verbally and in writing. Ability to use discretion and maintain all confidentiality. Analytical / problem-solving skills. Strong skills in analyzing, researching, and synthesizing large amounts of data for preparing sound and relevant proposals/analyses. Ability to multi-task with demanding timeframes. Strong policy analysis techniques. Ability to anticipate workflows and timing, generate workplaces, and prioritize. Ability to observe group dynamics and assess strategies for communication. . click apply for full job details

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

Senior Data Scientist - Genetics University Overview The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023. Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play. The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more. Posted Job Title Senior Data Scientist - Genetics Job Profile Title Job Description Summary The UPenn department of genetics is seeking a Senior Data Scientist for clinical genomic pipeline design and implementation. Job Description The successful candidate will be working with a broad team of quantitative analysts, including Statisticians, Data Scientists, Clinical and Basic trainees, and other bioinformaticians. Their role will involve developing and implementing new quantitative strategies to improve our understanding and ability to diagnose genetic disorders through a large-scale genomic clinically grade testing. Senior Data Scientists are passionate about applying their knowledge of biology and of methods for molecular, cellular or radiologic data-analysis to uncover general principles of genetic disorders and use these to create clinically useful biomarkers. They will develop, extend and apply computational pipelines for data-analysis to patient cohorts ranging from tens of individuals to hundreds of thousands. These will be executed at scale via distributed software solutions on both local HPC and cloud-based assets. Our datasets comprise petabytes, and are growing rapidly, linked to key clinical endpoints. This requires a strong background in biology to help ensure the right questions are asked, but linked to strong technical and personal communication skills, to help ensure insights are broadly adopted and appropriate analyses are performed. You may work with molecular (WGS, panel-sequencing, RNA-Seq, proteomic) or imaging (digital pathology, radiomic) data, and practical experience in one of these two areas is essential. Beyond your strong inter-personal skills and computer science background, you will have experience with implementation skills at least one of R, Perl or Python. You will be comfortable in UNIX/Linux environments and producing well-documented code. Multi-year experience (>10years) with cloud-computing or HPC is essential. Master of Science and 1 to 2 years of experience, or an equivalent combination of education and experience required. Ph.D. preferred. This position is contingent upon grant funding. Job Location - City, State Philadelphia, Pennsylvania Department / School Perelman School of Medicine Pay Range $100,000.00 - $160,000.00 Annual Rate Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered. Equal Opportunity Statement The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law. Special Requirements Background checks may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job. University Benefits Health, Life, and Flexible Spending Accounts: Penn offers comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits to protect you and your family's health and welfare. You can also use flexible spending accounts to pay for eligible health care and dependent care expenses with pre-tax dollars. Tuition: Take advantage of Penn's exceptional tuition benefits. You, your spouse, and your dependent children can get tuition assistance here at Penn. Your dependent children are also eligible for tuition assistance at other institutions. Retirement: Penn offers generous retirement plans to help you save for your future. Penn's Basic, Matching, and Supplemental retirement plans allow you to save for retirement on a pre-tax or Roth basis. Choose from a wide variety of investment options through TIAA and Vanguard. Time Away from Work: Penn provides you with a substantial amount of time away from work during the course of the year. This allows you to relax, take vacations, attend to personal affairs, recover from illness or injury, spend time with family-whatever your personal needs may be. Long-Term Care Insurance: In partnership with Genworth Financial, Penn offers faculty and staff (and your eligible family members) long-term care insurance to help you cover some of the costs of long-term care services received at home, in the community or in a nursing facility. If you apply when you're newly hired, you won't have to provide proof of good health or be subject to underwriting requirements. Eligible family members must always provide proof of good health and are subject to underwriting. Wellness and Work-life Resources: Penn is committed to supporting our faculty and staff as they balance the competing demands of work and personal life. That's why we offer a wide variety of programs and resources to help you care for your health, your family, and your work-life balance. Professional and Personal Development: Penn provides an array of resources to help you advance yourself personally and professionally. University Resources: As a member of the Penn community, you have access to a wide range of University resources as well as cultural and recreational activities. Take advantage of the University's libraries and athletic facilities, or visit our arboretum and art galleries. There's always something going on at Penn, whether it's a new exhibit at the Penn Museum, the latest music or theater presentation at the Annenberg Center, or the Penn Relays at Franklin Field to name just a few examples. As a member of the Penn community, you're right in the middle of the excitement-and you and your family can enjoy many of these activities for free. Discounts and Special Services: From arts and entertainment to transportation and mortgages, you'll find great deals for University faculty and staff. Not only do Penn arts and cultural centers and museums offer free and discounted admission and memberships to faculty and staff. You can also enjoy substantial savings on other goods and services such as new cars from Ford and General Motors, cellular phone service plans, movie tickets, and admission to theme parks. Flexible Work Hours: Flexible work options offer creative approaches for completing work while promoting balance between work and personal commitments. These approaches involve use of non-traditional work hours, locations, and/or job structures. Penn Home Ownership Services: Penn offers a forgivable loan for eligible employees interested in buying a home or currently residing in West Philadelphia, which can be used for closing costs or home improvements. Adoption Assistance: Penn will reimburse eligible employees on qualified expenses in connection with the legal adoption of an eligible child, such as travel or court fees, for up to two adoptions in your household. To learn more, please visit: Equal Employment Opportunity Statement The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state, or local law. To apply, visit Copyright 2025 Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-d179e9077aaade49a4a0c65b646e4d66

We are seeking a Sr. Research Data Analyst who will build complex data models and conduct complex data analysis in support of research projects, programs, and/or studies. The Sr. Research Data Analyst is responsible for the coordination of data and data analysis activities across multiple studies. This position is responsible for leading a specific gene-environment interaction analytic project for our GEARS autism center of excellence. Specific Duties & Responsibilities Develop, manage, and database of survey data from multi-site study. Develop standard operating procedures for initial data entry and data updates. Oversee quality control procedures for database and ongoing analysis. Develop data models. Conduct statistical analyses of data collected in this system to support empirical study. Build transmission models. Create and curate software tools across diverse programming languages in support of research efforts. Other duties as assigned. In Addition to the Duties Listed Above Derive polygenic risk scores from large extant genome-wide genotyping datasets. Clearly summarize and present findings at team meetings. Prepare written reports of statistical analyses, including relevant statistical theory, references, methods, results, and conclusions, to contribute to scientific publications. Collaborate with a network of scientists and staff to address research questions involving the analysis of genetic and environmental risk hypotheses. Minimum Qualifications Master's Degree in related field. One-year of related experience. Highly specialized advanced knowledge, education and/or training in a specialized field of study to conduct research. Preferred Qualifications PhD in a related field. Genetic epidemiology or statistical genetics training and experience. Experience performing analyses on a high-performance compute cluster, utilizing parallelization and multi-threading, and mastery of the R statistical language. Experience in neurodevelopmental outcomes and prenatal exposures. Technical Skills & Expected Level of Proficiency Biostatistical Analysis - Intermediate Data Management and Analysis - Intermediate Data Tool and Resource Development - Intermediate Data Validation and Quality Assurance - Intermediate Project Management - Intermediate Research Software Development - Intermediate Statistical Modeling - Intermediate Statistical Programming - Intermediate The core technical skills listed are most essential; additional technical skills may be required based on specific division or department needs. Classified Title: Sr. Research Data Analyst Role/Level/Range: ACRP/04/MD Starting Salary Range: $26.82 - $46.92 HRLY (Commensurate w/exp.) Employee group: Casual / On Call Schedule: Hours Vary; Typically 9:00am-2:00pm FLSA Status: Exempt Location: Remote Department name: Mental Health Research Projects Personnel area: School of Public Health Total Rewards The referenced base salary range represents the low and high end of Johns Hopkins University's salary range for this position. Not all candidates will be eligible for the upper end of the salary range. Exact salary will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, market conditions, education/training and other qualifications. Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: . Education and Experience Equivalency Please refer to the job description above to see which forms of equivalency are permitted for this position. If permitted, equivalencies will follow these guidelines: JHU Equivalency Formula: 30 undergraduate degree credits (semester hours) or 18 graduate degree credits may substitute for one year of experience. Additional related experience may substitute for required education on the same basis. For jobs where equivalency is permitted, up to two years of non-related college course work may be applied towards the total minimum education/experience required for the respective job. Applicants Completing Studies Applicants who do not meet the posted requirements but are completing their final academic semester/quarter will be considered eligible for employment and may be asked to provide additional information confirming their academic completion date. Background Checks The successful candidate(s) for this position will be subject to a pre-employment background check. Johns Hopkins is committed to hiring individuals with a justice-involved background, consistent with applicable policies and current practice. A prior criminal history does not automatically preclude candidates from employment at Johns Hopkins University. In accordance with applicable law, the university will review, on an individual basis, the date of a candidate's conviction, the nature of the conviction and how the conviction relates to an essential job-related qualification or function. Diversity and Inclusion The Johns Hopkins University values diversity, equity and inclusion and advances these through our key strategic framework, the JHU Roadmap on Diversity and Inclusion . Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. EEO is the Law Accommodation Information If you are interested in applying for employment with The Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the Talent Acquisition Office at . For TTY users, call via Maryland Relay or dial 711. For more information about workplace accommodations or accessibility at Johns Hopkins University, please visit . Vaccine Requirements Johns Hopkins University requires all faculty, staff, and students to receive the seasonal flu vaccine. Exceptions to the flu vaccine requirements may be provided to individuals for religious beliefs or medical reasons. Requests for an exception must be submitted to the JHU vaccination registry. The following additional provisions may apply, depending upon campus. Your recruiter will advise accordingly. The pre-employment physical for positions in clinical areas, laboratories, working with research subjects, or involving community contact requires documentation of immune status against Rubella (German measles), Rubeola (Measles), Mumps, Varicella (chickenpox), Hepatitis B and documentation of having received the Tdap (Tetanus, diphtheria, pertussis) vaccination. This may include documentation of having two (2) MMR vaccines; two (2) Varicella vaccines; or antibody status to these diseases from laboratory testing. Blood tests for immunities to these diseases are ordinarily included in the pre-employment physical exam except for those employees who provide results of blood tests or immunization documentation from their own health care providers. Any vaccinations required for these diseases will be given at no cost in our Occupational Health office.

Data Engineer, Penn Wharton Budget Model University Overview The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023. Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play. The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more. Posted Job Title Data Engineer, Penn Wharton Budget Model Job Profile Title Application Developer Senior Job Description Summary Wharton School Overview Founded in 1881 as the world's first collegiate business school, the Wharton School of the University of Pennsylvania is shaping the future of business by incubating ideas, driving insights, and creating leaders who change the world. With campuses in both Philadelphia and San Francisco, Wharton has over 850 staff, a faculty population of more than 235 renowned professors, and 5,000 undergraduate, MBA, executive MBA, and doctoral students. Each year 13,000 professionals from around the world advance their careers through Wharton Executive Education's individual, company-customized, and online programs. More than 104,000 Wharton alumni form a powerful global network of leaders who transform business every day. Wharton is home to a dynamic community of staff, bringing a wide range of skills, experiences, and perspectives. To learn more, visit . The Penn Wharton Budget Model (PWBM) is a non-partisan, research-based initiative that provides analysis to policymakers to assess the effects of policy on budgetary outcomes (government revenues and costs) and various economic variables. PWBM's work is widely cited and has been influential in many key recent policy discussions, including tax reform, budget reconciliation, immigration, Social Security, health care, infrastructure, pre-K education, paid family leave, universal income, and the federal debt. The PWBM team consists of roughly 30 Ph.D. economists, policy analysts, research analysts, software engineers, and developers. PWBM has a unique model - even relative to other scoring entities - that relies on a workflow between data processing, microsimulation (which utilizes large-scale Monte Carlo simulations), dozens of policy modules (including several tax calculators), and a large-scale stochastic macroeconomic overlapping generations (OLG) lifecycle model. An extensive code base, mostly in Python, underlies this workflow, and the model utilizes cutting-edge economic modeling, data science, machine learning, and cloud computing to project policy impacts. The models are frequently updated to reflect the latest economics and empirical research, and many of them require (large) datasets to calibrate them. PWBM is currently building a model automation pipeline to automate the forecasting process. The Data Engineer will be a member of the software engineering team and work closely with PWBM domain experts - economists, policy analysts, and research analysts - responsible for building and calibrating models using large, publicly and privately available datasets. The Data Engineer will design, build, and maintain the data infrastructure with the software engineering team; establish best practices for data ingestion and storage; and coach domain experts to write maintainable extract-transform-load (ETL) code. The Data Engineer will also contribute their expertise and insights to the model automation project to help make the automation pipeline robust to data changes. Position contingent upon funding. Job Description Job Responsibilities The data engineer will work with the software engineering team to design, build, and maintain data infrastructure that houses data obtained from external sources and PWBM model output and enables PWBM and external collaborators easy access to information that is versioned, accurate, and consistent. Establish best practices for data ingestion, storage, and retrieval. Work with PWBM domain experts to implement best practices in extract-transform-load (ETL) code, including producing readable, modular, and testable code. Help the Director of Engineering and Data and domain experts plan future infrastructure development. Mentor junior engineers, research analysts, and graduate students. Perform additional duties as assigned Qualifications Required Skills/Experience: A bachelor's degree in a relevant field, such as computer science, software engineering, statistics, mathematics, or engineering; and 3-5 years of experience; or equivalent. More than 2 years of post-degree experience as a data engineer in a team setting, and familiarity with current cloud data storage options, data modeling, data extraction (e.g., web scraping or using web APIs), automation (e.g., pipelining), and alerting/monitoring with process insights in mind. Demonstrated ability to write readable, modular, and testable code. Experience with modern software engineering best practices (e.g. automated testing, pair programming, and continuous integration). Solid ability to understand mathematical and statistical models. Strong written and verbal communication skills and the ability to collaborate successfully with teammates who have diverse technical backgrounds. The data engineer will work with individuals across a range of technical experience levels, so the candidate should be able to distill their thoughts into non-technical terms. Experience working with LLM-based coding tools. Experience with data frame packages/libraries in any programming language. Solid ability to identify requirements from discussions with domain experts and parse them into smaller stories/tasks. Preferred Skills: Knowledge of Python and pandas. Experience working with survey data or other microdata. Familiarity with major economic and demographic data sources (e.g. Census Bureau, Bureau of Labor Statistics, and Bureau of Economic Analysis). Experience working with data scientists or economists. Formal training in economics, public policy, or in quantitative disciplines such as statistics, engineering, and mathematics. Additional Information Staff positions at the Penn Wharton Budget Model are funded by external gifts and grants. This position is contingent upon both the continued availability of funding sources and the ongoing need for the role. It is an initial two-year term position, with potential renewal at the discretion of the faculty director. The position may be discontinued if funding sources are no longer available, if suitable replacement funding sources are not identified, or if the need for the position ceases to exist. Job Location - City, State Philadelphia, Pennsylvania Department / School Wharton School Pay Range $83,500.00 - $130,000.00 Annual Rate Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered. Equal Opportunity Statement The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law. Special Requirements Background checks may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job. University Benefits Health, Life, and Flexible Spending Accounts: Penn offers comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits to protect you and your family's health and welfare. You can also use flexible spending accounts to pay for eligible health care and dependent care expenses with pre-tax dollars. Tuition: Take advantage of Penn's exceptional tuition benefits. You, your spouse, and your dependent children can get tuition assistance here at Penn. Your dependent children are also eligible for tuition assistance at other institutions. Retirement: . click apply for full job details

Data Analyst C (Immune Health Institute) University Overview The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023. Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play. The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more. Posted Job Title Data Analyst C (Immune Health Institute) Job Profile Title Data Analyst C Job Description Summary The University of Pennsylvania is a national leader in advancing knowledge of the basic immunology of inflammation, autoimmunity, cancer, transplantation, and infection. Within Penn, the newly created Institute for Immunology and Immune Health (I3H) aims to bring together fundamental immunology and translational research with computational infrastructure to scale and integrate immunological knowledge into the electronic medical record. I3H is seeking a skilled Data Analyst to join our multi-disciplinary team. Under the supervision of a Senior Data Analyst, and in collaboration with other programmers, immunologists and technicians, the employee will develop, maintain and deploy analysis pipelines that produce actionable insights from the large-scale datasets generated by the Institute. Prior experience with immunology assays such as single-cell cytometry is not required, but it is expected that familiarity and fluency with these data modalities and their biological interpretation will be developed over time. Job Description Job Description: The multidisciplinary team at the Institute for Immunology and Immune Health is looking for a self-motivated, detail-oriented data analyst who will work with a team of programmers, immunologists, and clinicians to support day-to-day operations and analytics pipeline development. The ideal candidate is passionate about both exploratory and production level data analysis and is interested in developing a common language with the immunologists, clinicians, and wet bench scientists whom the analytics effort supports. Develop a detailed understanding of existing pipelines for quality control, analysis and interpretation of immunological data, and deploy them to new data that Immune Health is continuously generating Contribute code to new pipelines and functionalities Prepare results in written, tabular and graphical summaries, to help stakeholders make decisions and support publications Communicate frequently with the team to ensure that the computational work reflects biological and clinical goals. This includes generating reports tracking projects' progress. Be flexible and adapt workflows to shifting priorities and requirements Qualifications BA/BS in computer science or a quantitative discipline with at least 2-3 years of experience in data analysis, or equivalent combination of education and experience. Experience with data wrangling and analytics in R Good understanding of data structures and algorithms Ability to communicate clearly and concisely, including written documentation and data visualization Interest in developing a basic fluency in the assays and data types used for immunology research Preferred: Experience with Python, C++ or the command line Experience working with single-cell cytometry, transcriptomics, genomics or related biological data Position is contingent upon continued funding. Job Location - City, State Philadelphia, Pennsylvania Department / School Perelman School of Medicine Pay Range $61,000.00 - $73,581.00 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 . click apply for full job details

Neuromuscular Research Data Analyst School of Medicine, Stanford, California, United States Information Analytics Nov 12, 2025 Post Date 107725 Requisition # Do you want to help Stanford University find better ways to measure strength, function and health for individuals with Neuromuscular Disease including Muscular Dystrophies, Spinal Muscular Atrophy, Amyotrophic Lateral Sclerosis, Inherited Neuropathies, and other conditions? If you Enjoy working directly with patients and their families in clinic and at research visits. Are excited to work with people affected by neuromuscular disorders. Are excited to work with clinicians, scientists, engineers and research associates. Are exceptionally organized and can balance multiple projects at one time. Have excellent time management and can meet deadlines. Work well in a dynamic team utilizing novel technologies to integrate knowledge and answer research questions. Enjoy learning new skills. Enjoy translating data to address research gaps. Then we offer The opportunity to work in a collaborative team of neuromuscular investigators. The chance to contribute to describing and understanding the impact of treatments in neuromuscular disorders. Exciting and positive environment where you will always learn new things. Teamwork and camaraderie. Competitive full time salary. Excellent Stanford benefits. The Neuromuscular Division of Neurology is seeking a Research Data Analyst (RDA), with clinical data management experience to utilize knowledge from research tools to conduct and analyze research data assuring efficiency and regulatory compliance; collect, compile and perform statistical analysis, data reports and management. The division is eager to determine novel approaches towards quantifying movement through wearable and video technology and develop novel methods of analyzing MRI data to better characterize disease health for individuals with neuromuscular disease. As disease modifying treatments become available in neuromuscular diseases, we are researching novel approaches to better quantify movement and complement current clinical practice working alongside other professionals in radiology, cardiovascular health, and engineering. This position focuses on clinical data management and primarily focuses on supporting the labs clinical data collection systems. One would expect to be using REDCap database design and form creation regularly while also aligning with administrative and research data governance politics. A successful candidate would serve as the primary data manager for multiple clinical research studies, ensuring data integrity, regulatory compliance, and efficient data flow from collection through analysis. Learning SQL or having experience with Google Cloud would be preferred. Projects involve working with both pediatric and adults with neuromuscular diseases in both a lab and clinical environment. There are opportunities for long-term growth within the team with the ability to gain critical skillsets for a career in biomedical sciences. These studies will be conducted at the Stanford University Medical Center. Interested candidates should include a CV and Cover Letter addressing how your education and experience relates to the position described above. Duties include : Collect, manage and clean datasets. Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data. Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions. Develop reports, charts, graphs and tables for use by investigators and for publication and presentation. Collaborate with faculty and research staff on data collection and analysis methods. Communicate with government officials, grant agencies and industry representatives. Design, develop, and maintain REDCap databases. Data Compliance. - Other duties may also be assigned. DESIRED QUALIFICATIONS: 1-2 years experience in acquiring and/or processing data signals that requires a high level of technical skill and attention to detail. Proficiency with basic programming and scripts (for example, using R, python, MATLAB, SQL). Strong general computer skills and ability to quickly learn and master computer programs. Experience in data science with applied statistics, visual and communicating data. Proficiency with Microsoft Office, Word, Excel and various industry-oriented electronic data capture programs. Experience with database, data management, REDCAP, IRB requirements and the Stanford clinical research environment highly desirable. Ability to work both independently and as part of a diverse multidisciplinary team in a collaborative manner. Ability to determine workload priorities in an appropriate way to accomplish tasks and goals, meet deadlines. Takes initiative with good problem solving skills to anticipate and solve problems. Experience working with patients in a clinic or research setting. Strong analytical skill. Good oral and written communication skills to effectively work and publish data with clinicians and researchers. Excellent organizational skills and attention to detail in maintaining accurate, retrievable records. EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): Understanding of HIPAA, and GCP guidelines. Substantial experience with MS Office and analytical programs. Strong writing and analytical skills. Ability to prioritize workload; efficient utilization of time management. PHYSICAL REQUIREMENTS : Frequently stand, walk, twist, bend, stoop, squat and use fine light/fine grasping. Occasionally sit, reach above shoulders, perform desk based computer tasks, use a telephone and write by hand, lift, carry, push, and pull objects that weigh up to 40 pounds. Rarely kneel, crawl, climb ladders, grasp forcefully, sort and file paperwork or parts, rarely lift, carry, push, and pull objects that weigh 40 pounds or more. Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. Occasionally use a telephone. Rarely writing by hand. - 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: Some work may be performed in a laboratory or field setting. Occasional evening and weekend hours. WORK STANDARDS: 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, . The expected pay range for this position is $80,148 to $99,773 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 by submitting 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. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility . click apply for full job details

Special Instructions to Applicants Please include a cover letter with your application submission. This is a 1 year contract with the possibility of extension and/or conversion to a career appointment. Department Summary American prisons are deadly but opaque places. In 2019, the federal entity charged with collecting and reporting carceral mortality data stopped performing these critical functions. This abdication left the public without access to even the most basic facts about life and death behind bars, including how many people die each year in state and federal prisons; who is dying in prison, and why; and what disparities-racial, gender, and geographical-exist in mortality outcomes. This informational void makes it difficult if not impossible for policymakers and other stakeholders to identify what actions carceral agencies can take to reduce preventable deaths and improve conditions inside. It also makes it hard for members of the public to see the contours and impacts of the carceral penalties imposed on people convicted of crimes. The UCLA Law Behind Bars Data Project's carceral mortality database is the only comprehensive, public accounting of the most basic fact about mortality behind bars: how many people died across state and federal prisons in recent years. The Project obtains and cleans data from public records requests, death certificates, and other data sources; compiles and publishes the data, and employs established data protocols and research methodologies to understand its implications. In addition, the Project collaborates with advocates, reporters, researchers, litigators, policymakers, and other stakeholders to make sure that data is available, intelligible, and usable for their purposes. Position Summary While the Senior Data Scientist (Supervisor) will learn from the Project's previous iterations, the new carceral mortality and morbidity agenda will be a significant expansion for the team. As such, in addition to being a core member of our Data Team performing a proportionate share of the Data Team's work, the Senior Data Scientist (Supervisor) will be responsible for crafting new data project plans and methodological approaches, strategizing incorporation of outside datasets, and managing the data team along with internal collaborations to maximize impact on policy and practice. They will also articulate, in consultation with the Project's Faculty Directors, a strategic vision for the expanded collection, processing and analysis of carceral morbidity data. The Senior Data Scientist (Supervisor) will supervise the team's Data Analyst, Data Scientist, Senior Research Scientist, and several student research assistants. Salary & Compensation UCLA provides a full pay range. Actual salary offers consider factors, including budget, prior experience, skills, knowledge, abilities, education, licensure and certifications, and other business considerations. Salary offers at the top of the range are not common. Visit UC Benefit package to discover benefits that start on day one, and UC Total Compensation Estimator to calculate the total compensation value with benefits. Qualifications Substantial research experience. (Required) Prior building or maintaining productionized ETL pipelines in R or Python. (Preferred) Experience planning and executing quantitative research including data collection, cleaning, analysis, and publication (Required)Experience working with datasets that include missing, unstructured, and/or incorrect data. (Required)Experience establishing relationships and working with diverse collaborators (e.g., local advocates, government officials, and journalists) with varying levels of technical literacy. (Required)Strong organizational skills for project planning, data collection procedures, and complex research activities. (Required)Experience with public record requests and creating impactful data visualizations for social media and news reports. (Preferred)Proficiency using R or another programming language to manipulate data and draw insights from large, complex datasets. (Required)Strong writing skills, including experience with peer-reviewed manuscripts. (Required)Experience using git/GitHub to track tasks and data acquisition processes, and regularly update data on GitHub. (Required)Experience creating impactful data visualizations for social media and reports. (Preferred)Experience developing open-source datasets and GIS platforms. (Preferred)Experience planning and executing quantitative data projects including collection, cleaning, analysis, and archiving. (Preferred)Experience supervising similarly sized data teams and working with diverse collaborators with varying levels of data literacy. (Required) Education, Licenses, Certifications & Personal Affiliations Master's Degree in Data science, quantitative social science, or related field OR 5+ years working experience as a data or research scientist or equivalent combination of education and experience. (Required) Special Conditions for Employment Background Check: Continued employment is contingent upon the completion of a satisfactory background investigation.Live Scan Background Check: A Live Scan background check must be completed prior to the start of employment.Age Requirement: Candidate(s) must be 18 years or older to be eligible to be hired.Compassion, empathy, and a sense of humor. (Required)Lived experience with and/or knowledge of the criminal legal system. (Preferred)Experience working with remote teams. (Preferred)Ability to prioritize and effectively manage a workload with multiple deadlines. (Required)Familiarity or interest in working with public health and/or criminal justice data. (Required)Outstanding leadership, judgment, attention to detail, and the ability to foster a collaborative remote working environment. (Required) Schedule Monday - Friday 8am-5pm PST Union/Policy Covered 99-Policy Covered Complete Position Description

Research Data Analyst 2 School of Medicine, Stanford, California, United States NewInformation Analytics 6 days ago Post Date 107867 Requisition # Stanford University is seeking a Research Data Analyst 2 to manage and analyze large amounts of information, typically technical or scientific in nature, independently with minimal supervision. Stanford University is one of the world's most renowned universities.Sitting in the heart of the San Francisco Bay Area among the valley's most progressive companies. The Department of Pathology at Stanford School of Medicine, one of its founding departments, stands as a leader among its peers nationwide. Our preeminent faculty spans from emerging leaders to highly accomplished physicians and scientists, including a Nobel laureate and members of the National Academy. Our mission is to improve the diagnosis, treatment, and basic understanding of the human disease.This is done through discovery (research), education, and clinical care. You will be working with an unparalleled leading-edge community of faculty and staff that are fundamentally changing the world of health care. You will have the opportunity to influence and drive change with your innovative ideas, the ability to make a difference and participate in human advancements.Our culture is fast-paced, energetic, and growing all of the time. We offer a variety of benefits beyond traditional medical, dental, retirement, and savings options: Events and program for children, sports camps, tuition options World-class intellectual stimulation through learning and development classes, workshops, and onsite conferences from leading-edge speakers and faculty Work/life and family-friendly policies and reimbursement Participation in Stanford's social responsibility and sustainable programs for a better world A vibrant university culture that values the uniqueness of each individual We are seeking candidates who are progressive thinkers, see challenges as simply problems to solve, and have the spirit and energy to change the world. About the Department of Pathology: Comprised of extraordinary faculty and staff, our mission is to improve the ability to diagnose, treat and understand the origin and manifestation of human disease, and to care for those who have or are at risk to develop disease.We accomplish this through our clinical services (in all fields of anatomic and clinical pathology, including molecular and genomic pathology, histocompatibility testing and transfusion medicine) and be research (which includes basic, translational and clinical research into the origins and manifestations of disease, including efforts to improve disease prediction and prevention as part of the goal of achieving precision medicine and health), and also by educating future leaders in pathology and related fields.Everything we do is to achieve the goals of providing the highest quality of clinical services to the patients for whom we passionately care, to advance our ability to understand, diagnose, monitor and ultimately to cure disease or to prevent or delay its occurrence, and to provide outstanding education and career development opportunities to those who share these goals. For more information about the department visit: About the Sean N. Parker Center: The Sean N. Parker Center for Allergy and Asthma Research at Stanford University is the first of its kind, dedicated to advancing treatments and discovering underlying immune mechanisms to develop lasting cures for allergies and asthma in both children and adults. Our interdisciplinary team of leading scientists, physician-scientists, and specialists from fields such as immunology, gastroenterology, otolaryngology, chemistry, bioengineering, pathology, pulmonology, and genetics collaborates on cutting-edge research aimed at understanding immune dysfunctions that lead to allergic reactions. As a global leader in allergy research, our Center works collaboratively with researchers worldwide, sharing data through an interlinked network of satellite centers to conduct innovative clinical trials. Our research efforts extend beyond allergies and asthma to encompass a range of immune-related disorders, including eczema, food allergies, eosinophilic conditions, drug allergies, and gastrointestinal diseases. Through laboratory and computational research, clinical trials, and community outreach, we are committed to developing rational, evidence-based therapies that provide the safest and most effective treatments for patients. By combining innovative science with compassionate care, we strive to transform lives at both local and global levels. About the Position: The Sean N. Parker Center for Allergy and Asthma Research at Stanford University is seeking a Research Data Analyst 2 to manage and analyze large amounts of information, typically technical or scientific in nature, independently with minimal supervision. At the Sean N. Parker Center for Allergy and Asthma Research, the world's leading scientists, physician scientists, and research teams come together to study and understand the molecular underpinnings of allergies and asthma. We are committed to finding causes, treatments, and cures for allergies and asthma, and bringing these to children, adults, and their families at local and global levels. Transforming lives with innovative science and compassionate care. Duties include: Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation. Assist with the design of data collection instruments and statistical analysis plans under the supervision of research data manager and a senior biostatistician Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness. Design and customize reports based upon data in the database. Oversee and monitor regulatory compliance for utilization of the data. Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others. Serve as a resource for non-routine inquiries such as requests for statistics or surveys. Test prototype software and participate in approval and release process for new software. Provide documentation based on audit and reporting criteria to investigators and research staff The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Desired Qualifications: Proficient understanding of statistical concepts and analytical techniques used in clinical and translational research Experience in a quantitative discipline such as economics, finance, statistics or engineering. Extremely comfortable with computers and quick to learn new software REDCap experience (data entry, building REDCap forms, organizing REDCap surveys, etc.) or iMedidata experience Able to work independently and heavily multi-task Good communication skills Experience in project and/or database management Ability to understand and work with large and complex data sets - QA/QC, data cleaning, and multi-variate reporting Advanced knowledge of programming Clinical/medical terminology Database experience (e.g. MySQL, Oracle) Master's degree or higher or a combination of education and relevant experience. Many years of Experience in a quantitative discipline such as biology, laboratory, statistics or engineering. Education & Experiences (Required): Bachelor's degree and three years of relevant experience or combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering. Knowledge, Skills, and Abilities (Required): Proficient in at least one of R, SAS, SPSS, or STATA. Skills in descriptive analysis, modeling of data, and graphic interfaces. Substantial experience with MS Office and analytical programs. Excellent writing and analytical skills. Ability to prioritize workload. Physical Requirements : Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. Occasionally use a telephone. Rarely writing by hand. - 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: Some work may be performed in a laboratory or field setting. The expected pay range for this position is $108,002 to $128,138 per annum. Stanford University provides pay ranges representing its good faith estimate of the salary or hourly wage the university reasonably expects to pay for a position upon hire . click apply for full job details

Job Title: Data Analyst (Professional) Location: Atlanta, Georgia Regular/Temporary: Regular Full/Part Time: Full-Time Job ID: 292799 About Us Overview Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan . These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers. About Georgia Tech Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school. Georgia Tech's Mission and Values Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do: 1. Students are our top priority. 2. We strive for excellence. 3. We thrive on diversity. 4. We celebrate collaboration. 5. We champion innovation. 6. We safeguard freedom of inquiry and expression. 7. We nurture the wellbeing of our community. 8. We act ethically. 9. We are responsible stewards. Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact. Job Summary Data Analysts analyze data, interpret trends and patterns, and provide insights to support decision-making processes. They develop data models, perform data mining and statistical analysis, and collaborate with stakeholders to optimize data-driven strategies. Responsibilities Job Duty 1 - Collect, analyze, and interpret data from various sources, databases, and systems to extract insights, trends, and patterns that inform business decisions, strategies, and operations. Job Duty 2 - Develop and maintain data models, queries, and reports using SQL, Python, R, or data analysis tools to perform data cleansing, transformation, and visualization tasks. Job Duty 3 - Identify data quality issues, anomalies, and discrepancies in datasets, conduct data validation, data profiling, and data integrity checks to ensure data accuracy and reliability. Job Duty 4 - Create data visualizations, dashboards, and data analytics reports to communicate data findings, trends, and key metrics to stakeholders, management, and decision-makers. Job Duty 5 - Conduct ad-hoc data analysis, exploratory data analysis, and statistical analysis to support decision-making processes, performance monitoring, and data-driven insights. Job Duty 6 - Perform data mining, predictive analytics, and machine learning tasks to uncover hidden patterns, predict outcomes, and drive data-driven decision-making in organizations. Job Duty 7 - Utilize data analytics tools, business intelligence platforms, and statistical software packages to conduct data analysis, data modeling, and data visualization tasks efficiently and accurately. Job Duty 8 - Stay current on data analytics trends, tools, and methodologies through training, certifications, and industry publications to enhance data analysis skills and knowledge. Job Duty 9 - Collaborate with business users, data scientists, and Information Technology teams to define data requirements, analytics requirements, and data-driven solutions for business problems and opportunities. Job Duty 10 - Perform other job-related duties as assigned Required Qualifications Educational Requirements Associate's Degree in a related discipline or equivalent combination of education and experience. Required Experience No prior relevant work experience required. Preferred Qualifications Additional Preferred Qualifications Preferred Certifications, Licenses or Permits: Student Success Analytics, SAS, Excel, certifications, or other data-related skills Preferred Experience Knowledge of college student development theory. Application of specialized skills within a university or government agency environment Preferred Educational Qualifications Bachelor's Degree in a related discipline or equivalent. Knowledge, Skills, & Abilities SKILLS o Proficient in using Excel, Tableau, Qualtrics, SPSS, Pyramid, Power BI, etc. o Familiarity with applicable Institute, state, and federal laws and regulations regarding data storage, preservation, and security; the protection of human subject data, and adherence to Ethical Institute standards. Demonstrated working knowledge of statistical software. This job requires knowledge of data analysis, including the nature of the data to be analyzed, the relation of the data to the GT population, and the ability to employ predictive analytics to anticipate future trends and/or needs. USG Core Values The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at . Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at . Equal Employment Opportunity The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities. Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia ("USG") and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individual's race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract. Other Information This is not a supervisory position. This position does not have any financial responsibilities. This position will not be required to drive. This role is not considered a position of trust. This position does not require a purchasing card (P-Card). This position will not travel This position does not require security clearance. Job Grade:A7 Salary Range $46,704.00 - $63,518.00 Background Check Successful candidate must be able to pass a background check. Please visit

Data Science Analyst 3 Job ID: 292726 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 And Health at Augusta University seeks an exceptional Lead Data Scientist Analyst 3 to direct our development team in creating innovative technical solutions at the intersection of biomedical informatics and advanced data science. This leadership role combines strategic technical vision with hands-on team management, driving the development of scalable software systems that support cutting-edge healthcare research and clinical applications. Responsibilities The responsibilities include, but are not limited to: System Design Leads team of developers through all stages within the Software Development Life Cycle (SDLC). Determines solution-wide testing requirements and decides which solutions should be implemented. 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. Application Development and Maintenance Oversees applications and databases by leading a team of developers in evaluating client needs, analyzing requirements, and developing software systems across multiple projects. Delegates project tasks to developers. 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. Leadership Develops staff through coaching and positive/negative feedback. Ensures data science staff follow AU policies and procedures as well as both federal and state regulations. Monitors staff work and relationships with customers to ensure promised timelines are met and quality services are provided to customers. Communicates changes effectively, looks for ways to improve and promote quality, prioritizes and plans work activities with the PMO. Innovation Monitors infrastructure of databases, applications, and file system upgrades and provides management with projected long-range requirements for functions. Remains current with technologies and biomedical informatics methods and standards. Actively participates in professional and scientific forums. Ensures compliance with all applicable standards. Leads market analysis and innovation, driving the team to generate new ideas and business streams to grow the business and enhance the units reputation. Assists with the development of a 5-year business innovation and diversification strategy. Displays original thinking and creativity. Understands business implications of decisions. Professional Development Maintains and updates professional and technical knowledge by engaging in activities such as completing educational workshops, seeking official certification, establishing personal networks, and participating in professional societies. Other Completes special projects as assigned. Required Qualifications Master'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. OR Bachelor's degree from an accredited college or university in Data Science, Computer Science, Biomedical Informatics, Statistics, Engineering, or a related field with five 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: B13 Salary Minimum: $68,500/annually Salary to be commensurate with qualifications of the selected candidate within the established range (generally minimum-midpoint) of the position. Recruitment Period: 12/1/25 - 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 . click apply for full job details

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

Remote Data Analyst / Data Scientist $20-$50/hr Job Description: Analyze data sets, generate reports, and provide insights to support decision-making. Your work helps improve efficiency and strategy. All experience levels are welcome, with training provided to develop your skills. Work Schedule: Monday to Friday, 9am to 4pm (Flexible part-time or full-time hours). Qualifications: Basic knowledge of data analysis tools like Excel, SQL, or Python. What We Offer: Remote environment, competitive pay, and ongoing training opportunities. Interested in data-driven roles? Apply today!

Company Description Adtalem Global Education is a national leader in post-secondary education and leading provider of professional talent to the healthcare industry. Adtalem educates and empowers students with the knowledge and skills to become leaders in their communities and make a lasting impact on public health, well-being and beyond. Through equitable access to education, environments that nurture student success, and a focus on expanding and diversifying the talent pipeline in healthcare, Adtalem is building a brighter future for communities and the world. Adtalem is the parent organization of American University of the Caribbean School of Medicine, Chamberlain University, Ross University School of Medicine, Ross University School of Veterinary Medicine and Walden University. We operate on a hybrid schedule with four in-office days per week (Monday-Thursday). This approach enhances creativity, innovation, communication, and relationship-building, fostering a dynamic and collaborative work environment. Visit for more information and follow us on LinkedIn and Instagram . Job Description Adtalem is a data driven organization. The Data Engineering team builds data solutions that powers strategic and tactical business decisions and supports the Analytics and Artificial Intelligence operations. By implementing the data platform, data pipelines and data governance policies this team provides the basis for decision-making in Adtalem. Adtalem is looking for a Senior Data Engineer who design, build, and maintain robust data engineering solutions that support our company's innovation initiatives and growth objectives. Architect, develop, and optimize scalable data pipelines handling real-time, unstructured, and synthetic datasets Collaborate with cross-functional teams, including data scientists, analysts, and product owners, to deliver innovative data solutions that drive business growth. Design, develop, deploy and support high performance data pipelines both inbound and outbound. Model data platform by applying the business logic and building objects in the semantic layer of the data platform. Leverage streaming technologies and cloud platforms to enable real-time data processing and analytics Optimize data pipelines for performance, scalability, and reliability. Implement CI/CD pipelines to ensure continuous deployment and delivery of our data products. Ensure quality of critical data elements, prepare data quality remediation plans and collaborate with business and system owners to fix the quality issues at its root. Document the design and support strategy of the data pipelines Capture, store and socialize data lineage and operational metadata Troubleshoot and resolve data engineering issues as they arise. Develop REST APIs to expose data to other teams within the company. Stay current with emerging technologies and industry trends related to big data, streaming data, and synthetic data generation Mentor and guide junior data engineers. Qualifications Bachelor's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field. Master's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field. Two (2) plus years experience in Google cloud with services like BigQuery, Composer, GCS, DataStream, Dataflows,BQML, Vertex AI. Six (6) plus years experience in data engineering solutions such as data platforms, ingestion, data management, or publication/analytics. Hands-on experience working with real-time, unstructured, and synthetic data, and will be instrumental in advancing our data platform capabilities. Experience in Real Time Data ingestion using GCP PubSub, Kafka, Spark or similar. Expert knowledge on Python programming and SQL. Experience with cloud platforms (AWS, GCP, Azure) and their data services Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed. Familiarity with synthetic data generation and unstructured data processing Experience in AI/ML data pipelines and frameworks Excellent organizational, prioritization and analytical abilities. Have proven experience working in incremental execution through successful launches. Excellent problem-solving and critical-thinking skills to recognize and comprehend complex data issues affecting the business environment. Experience working in agile environment. Additional Information In support of the pay transparency laws enacted across the country, the expected salary range for this position is between $84,835.61 and $149,076.17. Actual pay will be adjusted based on job-related factors permitted by law, such as experience and training; geographic location; licensure and certifications; market factors; departmental budgets; and responsibility. Our Talent Acquisition Team will be happy to answer any questions you may have, and we look forward to learning more about your salary requirements. The position qualifies for the below benefits. Adtalem offers a robust suite of benefits including: Health, dental, vision, life and disability insurance 401k Retirement Program + 6% employer match Participation in Adtalem's Flexible Time Off (FTO) Policy 12 Paid Holidays For more information related to our benefits please visit: You are also eligible to participate in an annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Equal Opportunity - Minority / Female / Disability / V / Gender Identity / Sexual Orientation

Company Description Adtalem Global Education is a national leader in post-secondary education and leading provider of professional talent to the healthcare industry. Adtalem educates and empowers students with the knowledge and skills to become leaders in their communities and make a lasting impact on public health, well-being and beyond. Through equitable access to education, environments that nurture student success, and a focus on expanding and diversifying the talent pipeline in healthcare, Adtalem is building a brighter future for communities and the world. Adtalem is the parent organization of American University of the Caribbean School of Medicine, Chamberlain University, Ross University School of Medicine, Ross University School of Veterinary Medicine and Walden University. We operate on a hybrid schedule with four in-office days per week (Monday-Thursday). This approach enhances creativity, innovation, communication, and relationship-building, fostering a dynamic and collaborative work environment. Visit for more information and follow us on LinkedIn and Instagram . Job Description Adtalem is a data driven organization. The Data Engineering team builds data solutions that powers strategic and tactical business decisions and supports the Analytics and Artificial Intelligence operations. By implementing the data platform, data pipelines and data governance policies this team provides the basis for decision-making in Adtalem. Adtalem is looking for a Senior Data Engineer who design, build, and maintain robust data engineering solutions that support our company's innovation initiatives and growth objectives. Architect, develop, and optimize scalable data pipelines handling real-time, unstructured, and synthetic datasets Collaborate with cross-functional teams, including data scientists, analysts, and product owners, to deliver innovative data solutions that drive business growth. Design, develop, deploy and support high performance data pipelines both inbound and outbound. Model data platform by applying the business logic and building objects in the semantic layer of the data platform. Leverage streaming technologies and cloud platforms to enable real-time data processing and analytics Optimize data pipelines for performance, scalability, and reliability. Implement CI/CD pipelines to ensure continuous deployment and delivery of our data products. Ensure quality of critical data elements, prepare data quality remediation plans and collaborate with business and system owners to fix the quality issues at its root. Document the design and support strategy of the data pipelines Capture, store and socialize data lineage and operational metadata Troubleshoot and resolve data engineering issues as they arise. Develop REST APIs to expose data to other teams within the company. Stay current with emerging technologies and industry trends related to big data, streaming data, and synthetic data generation Mentor and guide junior data engineers. Qualifications Bachelor's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field. Master's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field. Two (2) plus years experience in Google cloud with services like BigQuery, Composer, GCS, DataStream, Dataflows,BQML, Vertex AI. Six (6) plus years experience in data engineering solutions such as data platforms, ingestion, data management, or publication/analytics. Hands-on experience working with real-time, unstructured, and synthetic data, and will be instrumental in advancing our data platform capabilities. Experience in Real Time Data ingestion using GCP PubSub, Kafka, Spark or similar. Expert knowledge on Python programming and SQL. Experience with cloud platforms (AWS, GCP, Azure) and their data services Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed. Familiarity with synthetic data generation and unstructured data processing Experience in AI/ML data pipelines and frameworks Excellent organizational, prioritization and analytical abilities. Have proven experience working in incremental execution through successful launches. Excellent problem-solving and critical-thinking skills to recognize and comprehend complex data issues affecting the business environment. Experience working in agile environment. Additional Information In support of the pay transparency laws enacted across the country, the expected salary range for this position is between $84,835.61 and $149,076.17. Actual pay will be adjusted based on job-related factors permitted by law, such as experience and training; geographic location; licensure and certifications; market factors; departmental budgets; and responsibility. Our Talent Acquisition Team will be happy to answer any questions you may have, and we look forward to learning more about your salary requirements. The position qualifies for the below benefits. Adtalem offers a robust suite of benefits including: Health, dental, vision, life and disability insurance 401k Retirement Program + 6% employer match Participation in Adtalem's Flexible Time Off (FTO) Policy 12 Paid Holidays For more information related to our benefits please visit: You are also eligible to participate in an annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Equal Opportunity - Minority / Female / Disability / V / Gender Identity / Sexual Orientation

Company Description Adtalem Global Education is a national leader in post-secondary education and leading provider of professional talent to the healthcare industry. Adtalem educates and empowers students with the knowledge and skills to become leaders in their communities and make a lasting impact on public health, well-being and beyond. Through equitable access to education, environments that nurture student success, and a focus on expanding and diversifying the talent pipeline in healthcare, Adtalem is building a brighter future for communities and the world. Adtalem is the parent organization of American University of the Caribbean School of Medicine, Chamberlain University, Ross University School of Medicine, Ross University School of Veterinary Medicine and Walden University. We operate on a hybrid schedule with four in-office days per week (Monday-Thursday). This approach enhances creativity, innovation, communication, and relationship-building, fostering a dynamic and collaborative work environment. Visit for more information and follow us on LinkedIn and Instagram . Job Description Adtalem is a data driven organization. The Data Engineering team builds data solutions that powers strategic and tactical business decisions and supports the Analytics and Artificial Intelligence operations. By implementing the data platform, data pipelines and data governance policies this team provides the basis for decision-making in Adtalem. Adtalem is looking for a Senior Data Engineer who design, build, and maintain robust data engineering solutions that support our company's innovation initiatives and growth objectives. Architect, develop, and optimize scalable data pipelines handling real-time, unstructured, and synthetic datasets Collaborate with cross-functional teams, including data scientists, analysts, and product owners, to deliver innovative data solutions that drive business growth. Design, develop, deploy and support high performance data pipelines both inbound and outbound. Model data platform by applying the business logic and building objects in the semantic layer of the data platform. Leverage streaming technologies and cloud platforms to enable real-time data processing and analytics Optimize data pipelines for performance, scalability, and reliability. Implement CI/CD pipelines to ensure continuous deployment and delivery of our data products. Ensure quality of critical data elements, prepare data quality remediation plans and collaborate with business and system owners to fix the quality issues at its root. Document the design and support strategy of the data pipelines Capture, store and socialize data lineage and operational metadata Troubleshoot and resolve data engineering issues as they arise. Develop REST APIs to expose data to other teams within the company. Stay current with emerging technologies and industry trends related to big data, streaming data, and synthetic data generation Mentor and guide junior data engineers. Qualifications Bachelor's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field. Master's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field. Two (2) plus years experience in Google cloud with services like BigQuery, Composer, GCS, DataStream, Dataflows,BQML, Vertex AI. Six (6) plus years experience in data engineering solutions such as data platforms, ingestion, data management, or publication/analytics. Hands-on experience working with real-time, unstructured, and synthetic data, and will be instrumental in advancing our data platform capabilities. Experience in Real Time Data ingestion using GCP PubSub, Kafka, Spark or similar. Expert knowledge on Python programming and SQL. Experience with cloud platforms (AWS, GCP, Azure) and their data services Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed. Familiarity with synthetic data generation and unstructured data processing Experience in AI/ML data pipelines and frameworks Excellent organizational, prioritization and analytical abilities. Have proven experience working in incremental execution through successful launches. Excellent problem-solving and critical-thinking skills to recognize and comprehend complex data issues affecting the business environment. Experience working in agile environment. Additional Information In support of the pay transparency laws enacted across the country, the expected salary range for this position is between $84,835.61 and $149,076.17. Actual pay will be adjusted based on job-related factors permitted by law, such as experience and training; geographic location; licensure and certifications; market factors; departmental budgets; and responsibility. Our Talent Acquisition Team will be happy to answer any questions you may have, and we look forward to learning more about your salary requirements. The position qualifies for the below benefits. Adtalem offers a robust suite of benefits including: Health, dental, vision, life and disability insurance 401k Retirement Program + 6% employer match Participation in Adtalem's Flexible Time Off (FTO) Policy 12 Paid Holidays For more information related to our benefits please visit: You are also eligible to participate in an annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Equal Opportunity - Minority / Female / Disability / V / Gender Identity / Sexual Orientation

Company Description Adtalem Global Education is a national leader in post-secondary education and leading provider of professional talent to the healthcare industry. Adtalem educates and empowers students with the knowledge and skills to become leaders in their communities and make a lasting impact on public health, well-being and beyond. Through equitable access to education, environments that nurture student success, and a focus on expanding and diversifying the talent pipeline in healthcare, Adtalem is building a brighter future for communities and the world. Adtalem is the parent organization of American University of the Caribbean School of Medicine, Chamberlain University, Ross University School of Medicine, Ross University School of Veterinary Medicine and Walden University. We operate on a hybrid schedule with four in-office days per week (Monday-Thursday). This approach enhances creativity, innovation, communication, and relationship-building, fostering a dynamic and collaborative work environment. Visit for more information and follow us on LinkedIn and Instagram . Job Description Adtalem is a data driven organization. The Data Engineering team builds data solutions that powers strategic and tactical business decisions and supports the Analytics and Artificial Intelligence operations. By implementing the data platform, data pipelines and data governance policies this team provides the basis for decision-making in Adtalem. Adtalem is looking for a Senior Data Engineer who design, build, and maintain robust data engineering solutions that support our company's innovation initiatives and growth objectives. Architect, develop, and optimize scalable data pipelines handling real-time, unstructured, and synthetic datasets Collaborate with cross-functional teams, including data scientists, analysts, and product owners, to deliver innovative data solutions that drive business growth. Design, develop, deploy and support high performance data pipelines both inbound and outbound. Model data platform by applying the business logic and building objects in the semantic layer of the data platform. Leverage streaming technologies and cloud platforms to enable real-time data processing and analytics Optimize data pipelines for performance, scalability, and reliability. Implement CI/CD pipelines to ensure continuous deployment and delivery of our data products. Ensure quality of critical data elements, prepare data quality remediation plans and collaborate with business and system owners to fix the quality issues at its root. Document the design and support strategy of the data pipelines Capture, store and socialize data lineage and operational metadata Troubleshoot and resolve data engineering issues as they arise. Develop REST APIs to expose data to other teams within the company. Stay current with emerging technologies and industry trends related to big data, streaming data, and synthetic data generation Mentor and guide junior data engineers. Qualifications Bachelor's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field. Master's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field. Two (2) plus years experience in Google cloud with services like BigQuery, Composer, GCS, DataStream, Dataflows,BQML, Vertex AI. Six (6) plus years experience in data engineering solutions such as data platforms, ingestion, data management, or publication/analytics. Hands-on experience working with real-time, unstructured, and synthetic data, and will be instrumental in advancing our data platform capabilities. Experience in Real Time Data ingestion using GCP PubSub, Kafka, Spark or similar. Expert knowledge on Python programming and SQL. Experience with cloud platforms (AWS, GCP, Azure) and their data services Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed. Familiarity with synthetic data generation and unstructured data processing Experience in AI/ML data pipelines and frameworks Excellent organizational, prioritization and analytical abilities. Have proven experience working in incremental execution through successful launches. Excellent problem-solving and critical-thinking skills to recognize and comprehend complex data issues affecting the business environment. Experience working in agile environment. Additional Information In support of the pay transparency laws enacted across the country, the expected salary range for this position is between $84,835.61 and $149,076.17. Actual pay will be adjusted based on job-related factors permitted by law, such as experience and training; geographic location; licensure and certifications; market factors; departmental budgets; and responsibility. Our Talent Acquisition Team will be happy to answer any questions you may have, and we look forward to learning more about your salary requirements. The position qualifies for the below benefits. Adtalem offers a robust suite of benefits including: Health, dental, vision, life and disability insurance 401k Retirement Program + 6% employer match Participation in Adtalem's Flexible Time Off (FTO) Policy 12 Paid Holidays For more information related to our benefits please visit: You are also eligible to participate in an annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Equal Opportunity - Minority / Female / Disability / V / Gender Identity / Sexual Orientation

About the job: At Northwestern Mutual, the Field Solutions team delivers tools and experiences that empower our advisors and help our clients achieve their dreams. The Field Rewards Product team is seeking a Senior Product Manager to manage the strategy, roadmap and delivery for suite of product technologies and capabilities. In this role, you'll work with cross-functional engineers, designers, data scientists, and financial experts to define product vision, strategy, and deliver experiences to enable clients to achieve financial security. What You'll Do: Set Product Vision: Responsible for product vision and appropriate positioning with key stakeholders across the organization. Develop Roadmap: Foster the development, acceptance and communication of roadmap across multiple delivery teams. Gather and Document Requirements: Participate in cross functional work to solicit key requirements relative to the accountable product. Define the Product: Responsible for multiple low to medium complexity products and product features from start to finish. Stakeholdering: Maintain the awareness and ability to articulate the product story to a broader audience outside the internal team with additional experience and maturity in the domain. Design Partnership: Partner with design to ensure cohesive future state user visions and experiences that are aligned with a quarterly vision with an understanding of the total design process. Feature Writing & Prioritization: Write, develop, and maintain multiple prioritized backlogs of features with adequate level of technical detail and acceptance criteria. Author User Stories: Translate requirements to technical details to build and validate use cases and user stories around a product and communicate them effectively. Data & Customer Research: Inform product decisions with both qualitative and quantitative data on behavior and experimentation. Facilitate ceremonies: Facilitate the daily Scrums, Sprint Planning Meetings and Sprint Reviews and Retrospectives. Skills You Have: Bachelor's degree. 4-5 Years of prior experience with at least 4 working in a Product Management Role, with agile team experience. Knowledge Preferred: formal business analyst, engineering or testing experience, knowledge of the financial services industry, certification or experience with Product Owner or Scrum Master role. Must have demonstrated cross functional work in previous experience along with strong communication skills, time management, project management skills, business acumen, and high self-awareness. High effectiveness in managing cross-functional, technical delivery teams from discovery, through technical definition and requirements, delivery, release, and support. Demonstrated previous research experience, influence skills, initial leadership exposure, ability to translate product requirements into technical requirements, and work in ambiguity and solutioning. Solves complex problems; take a new perspective on existing solutions; exercise judgment based on the analysis of multiple sources of information. Willingness to lean in, write requirements, conduct business process re-engineering, support UAT/QA and validation. Compensation Range: Pay Range - Start: $102,060.00 Pay Range - End: $189,540.00 Geographic Specific Pay Structure: Structure 110: $112,280.00 USD - $208,520.00 USD Structure 115: $117,390.00 USD - $218,010.00 USD We believe in fairness and transparency. It's why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. The standard pay structure is listed but if you're living in California, New York City or other eligible location, geographic specific pay structures, compensation and benefits could be applicable, click here to learn more. Grow your career with a best-in-class company that puts our clients' interests at the center of all we do. Get started now! Northwestern Mutual is an equal opportunity employer who welcomes and encourages diversity in the workforce. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives. Skills Customer Centricity (NM) - Advanced, Performance Analysis (NM) - Advanced, Cross Functional Partnering & Planning (NM) - Intermediate, Continuous Improvement (NM) - Advanced, Technical & Digital Acumen (NM) - Advanced, Strategic Thinking (NM) - Intermediate, Analytical Thinking (NM) - Intermediate, Agile Product Ownership (NM) - Intermediate, Customer Analysis (NM) - Intermediate, Root Cause Analysis & Decision Quality (NM) - Intermediate, Adaptive Communication (NM) - Advanced, Vision Setting (NM) - Advanced, Business Acumen (NM) - Advanced, Competitive Benchmarking (NM) - Intermediate, Product Lifecycle (NM) - Advanced, Product Roadmap (NM) - Advanced, Learning Agility & Critical Thinking (NM) - Advanced, Stakeholder Relationship (NM) - Intermediate, Agile Results Delivery (NM) - Intermediate, Production Reporting & Metrics (NM) - Advanced, User Story (NM) - Advanced, Solution Design Oriented Thinking (NM) - Advanced FIND YOUR FUTURE We're excited about the potential people bring to Northwestern Mutual. You can grow your career here while enjoying first-class perks, benefits, and our commitment to a culture of belonging. Flexible work schedules Concierge service Comprehensive benefits Employee resource groups PandoLogic. Category:Marketing & Biz Dev,