Data Contributor Jobs at University of Chicago with Visa Sponsorship
Data Contributor roles at University of Chicago sit at the intersection of academic research and institutional data infrastructure, supporting faculty, departments, and research initiatives across one of the country's leading research universities. The university has a consistent track record of sponsoring international candidates across multiple visa categories for data-focused positions.
See All Data Contributor at University of Chicago JobsOverview
Showing 5 of 28+ Data Contributor Jobs at University of Chicago jobs
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 28+ Data Contributor Jobs at University of Chicago
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Contributor Jobs at University of Chicago.
Get Access To All JobsDepartment
BSD CRI - Administration
About the Department
The Center for Research Informatics (CRI) is an organization within the Biological Sciences Division (BSD) that provides informatics resources and services to BSD faculty. Five main services comprise the CRI's operations: applications development, bioinformatics, scientific computing, data science and AI, and clinical research data warehousing. Through these service lines, the CRI enables research of the highest scientific merit and advances the state of the art of clinical and translational informatics. The CRI recruits exceptional candidates looking to leverage state-of-the-art technologies to deliver innovative and exciting solutions to biomedical researchers.
Job Summary
The Manager of Clinical Research Data Warehousing provides strategic, managerial, and technical design leadership for the institution’s clinical research data warehouse and related analytic assets. Operating within a matrixed academic medical center environment, this role partners closely with senior academic and hospital leadership, faculty investigators, and multidisciplinary technical teams to ensure clinical data are transformed into trusted, interoperable, and AI-ready research assets.
This role is intentionally designed as a hybrid management position: the Manager is accountable for strategy, architecture, prioritization, team leadership, and optimization of technical solutions, while generally guiding and overseeing implementation rather than serving as the primary individual contributor. The Manager plays a critical role in enabling faculty-funded research, supporting grant-driven deliverables, and ensuring sustainability within a federal recharge center framework.
Responsibilities
- Strategic Leadership & Institutional Alignment
- Under the direction of CRI leadership, define and execute the strategic roadmap for the clinical research data warehouse, with explicit focus on:
- AI/ML-ready data architectures
- Scalable analytics and research enablement
- Interoperability and common data models
- Collaborate with senior academic and hospital leadership to align data warehousing priorities with institutional research, clinical, and translational goals.
- Serve as a trusted partner to faculty leadership and mentors, advising on data feasibility, analytic approaches, and emerging capabilities.
-
In coordination with CRI leadership and the technical manager of data warehousing, represent the data warehousing function in enterprise-level discussions related to informatics strategy, data harmonization, and AI readiness.
-
Matrixed & Cross-Functional Collaboration
- Operate effectively in a matrixed environment, coordinating across reporting lines, service teams, and governance bodies.
- Collaborate closely with:
- Application development teams to align data pipelines, APIs, and research platforms
- HPC and scientific computing experts to support large-scale analytics and AI/ML workflows
- Bioinformatics and data science teams to integrate clinical data with multi-modal research datasets
- Faculty investigators and research teams to translate funded research aims into data and analytic solutions
-
Act as a connector and translator between technical teams, researchers, and leadership.
-
Data Architecture, Modeling & Interoperability
- Provide architectural oversight for the design and optimization of clinical research data assets.
- Lead adoption and governance of common data models (e.g., OMOP, PCORnet, or equivalent) and ensure analytic fitness for research and AI use cases.
- Advance interoperability strategies leveraging standards such as FHIR, modern APIs, and modular data services.
-
Ensure documentation, data provenance, and metadata practices support reproducibility, reuse, and responsible AI development.
-
ETL Oversight & Technical Design Optimization
- Oversee (but do not primarily perform) the development and optimization of ETL pipelines ingesting data from Epic EMR systems (e.g., Clarity, Caboodle, Cosmos) and other sources.
- Set technical standards, review designs, and guide implementation decisions to ensure performance, reliability, and scalability.
- Partner with engineers to modernize pipelines using automation, cloud-native patterns, and best practices in data engineering.
-
Ensure strong data quality, validation, and refresh processes aligned with funded research commitments.
-
Research Enablement & Faculty Support
- Directly support faculty-funded research, ensuring data assets meet grant timelines, deliverables, and compliance requirements.
- Advise investigators and project teams on cohort discovery, longitudinal analysis, and real-world data use.
- Enable AI- and ML-driven research by ensuring datasets are analytically valid, well-structured, and performance-optimized.
-
Balance self-service data access with appropriate governance and stewardship.
-
Management, Operations & Recharge Center Responsibilities
- Lead, mentor, and develop a team of data engineers, analysts, and related staff.
- Prioritize work across competing research and institutional demands in a transparent, service-oriented model.
- Operate within a federal recharge center, including:
- Supporting sustainable cost-recovery models
- Aligning effort with funded work and service agreements
- Partnering on budgeting, forecasting, and reporting
- Collaborate with governance, privacy, security, and compliance teams to ensure responsible data use.
- Contribute to continuous process improvement and service maturity.
- Manages professional staff. Establishes performance goals, allocates resources and assesses policies for direct subordinates.
- Recommends departmental plans to maintain administrative data. Ensures that the data is accessible, easy-to-use, flexible, and suitable for various analytical purposes, including joint analyses across multiple domains and interactions across multiple systems.
- Plans additional data warehouse and reporting environments as needed. Manages relationships with the University's primary software suppliers for end-user data access, query, reporting, and display.
- Performs other related work as needed.
Minimum Qualifications
Education:
Minimum requirements include a college or university degree in related field.
Work Experience:
Minimum requirements include knowledge and skills developed through 7+ years of work experience in a related job discipline.
Certifications:
Preferred Qualifications
Education:
- Master’s degree in computer science, informatics, or related field.
Experience:
- Experience supporting AI/ML initiatives or advanced analytics in healthcare or research.
- Familiarity with federal grant-funded research environments (e.g., CTSA, NIH-funded programs).
- Experience operating within a recharge or cost-recovery model.
- Knowledge of cloud platforms, scalable analytics infrastructure, and modern data ecosystems.
- Background working in an academic medical center or large research enterprise.
Certifications:
- Epic Report Builder, Epic Caboodle, or other related Epic certifications a plus.
- RN, DNP, MD, or other clinical licensure a plus.
Technical Skills or Knowledge:
- Knowledge of healthcare data including ICD-9, ICD-10, and CPT.
Preferred Competencies
- High level of problem solving and decision-making skills.
- Expert in SQL, Python, R, and Excel.
- Proficiency in relational databases with experience designing transformations, mappings, and working with reference table.
- Knowledge of graphical databases.
- Ability to translate technical information to non-technical audiences.
- Critical thinking and multi-tasking skills with the ability to manage multiple projects.
- Time management skills.
- Proficiency in creating technical specifications, business cases, and other development-related documentation.
- Ability to working through complex problems.
- Knowledge of hospitals and healthcare (experience in AMCs a plus).
- Knowledge of research processes.
- Intellectual curiosity.
Application Documents
- Resume (required)
- Cover Letter (required)
When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.
Job Family
Information Technology
Role Impact
People Manager
Scheduled Weekly Hours
40
Drug Test Required
No
Health Screen Required
No
Motor Vehicle Record Inquiry Required
No
Pay Rate Type
Salary
FLSA Status
Exempt
Pay Range
$120,000.00 - $170,000.00
The included pay rate or range represents the University’s good faith estimate of the possible compensation offer for this role at the time of posting.
Benefits Eligible
Yes
The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.
Posting Statement
The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University’s Notice of Nondiscrimination.
Job seekers in need
Department
BSD CRI - Administration
About the Department
The Center for Research Informatics (CRI) is an organization within the Biological Sciences Division (BSD) that provides informatics resources and services to BSD faculty. Five main services comprise the CRI's operations: applications development, bioinformatics, scientific computing, data science and AI, and clinical research data warehousing. Through these service lines, the CRI enables research of the highest scientific merit and advances the state of the art of clinical and translational informatics. The CRI recruits exceptional candidates looking to leverage state-of-the-art technologies to deliver innovative and exciting solutions to biomedical researchers.
Job Summary
The Manager of Clinical Research Data Warehousing provides strategic, managerial, and technical design leadership for the institution’s clinical research data warehouse and related analytic assets. Operating within a matrixed academic medical center environment, this role partners closely with senior academic and hospital leadership, faculty investigators, and multidisciplinary technical teams to ensure clinical data are transformed into trusted, interoperable, and AI-ready research assets.
This role is intentionally designed as a hybrid management position: the Manager is accountable for strategy, architecture, prioritization, team leadership, and optimization of technical solutions, while generally guiding and overseeing implementation rather than serving as the primary individual contributor. The Manager plays a critical role in enabling faculty-funded research, supporting grant-driven deliverables, and ensuring sustainability within a federal recharge center framework.
Responsibilities
- Strategic Leadership & Institutional Alignment
- Under the direction of CRI leadership, define and execute the strategic roadmap for the clinical research data warehouse, with explicit focus on:
- AI/ML-ready data architectures
- Scalable analytics and research enablement
- Interoperability and common data models
- Collaborate with senior academic and hospital leadership to align data warehousing priorities with institutional research, clinical, and translational goals.
- Serve as a trusted partner to faculty leadership and mentors, advising on data feasibility, analytic approaches, and emerging capabilities.
-
In coordination with CRI leadership and the technical manager of data warehousing, represent the data warehousing function in enterprise-level discussions related to informatics strategy, data harmonization, and AI readiness.
-
Matrixed & Cross-Functional Collaboration
- Operate effectively in a matrixed environment, coordinating across reporting lines, service teams, and governance bodies.
- Collaborate closely with:
- Application development teams to align data pipelines, APIs, and research platforms
- HPC and scientific computing experts to support large-scale analytics and AI/ML workflows
- Bioinformatics and data science teams to integrate clinical data with multi-modal research datasets
- Faculty investigators and research teams to translate funded research aims into data and analytic solutions
-
Act as a connector and translator between technical teams, researchers, and leadership.
-
Data Architecture, Modeling & Interoperability
- Provide architectural oversight for the design and optimization of clinical research data assets.
- Lead adoption and governance of common data models (e.g., OMOP, PCORnet, or equivalent) and ensure analytic fitness for research and AI use cases.
- Advance interoperability strategies leveraging standards such as FHIR, modern APIs, and modular data services.
-
Ensure documentation, data provenance, and metadata practices support reproducibility, reuse, and responsible AI development.
-
ETL Oversight & Technical Design Optimization
- Oversee (but do not primarily perform) the development and optimization of ETL pipelines ingesting data from Epic EMR systems (e.g., Clarity, Caboodle, Cosmos) and other sources.
- Set technical standards, review designs, and guide implementation decisions to ensure performance, reliability, and scalability.
- Partner with engineers to modernize pipelines using automation, cloud-native patterns, and best practices in data engineering.
-
Ensure strong data quality, validation, and refresh processes aligned with funded research commitments.
-
Research Enablement & Faculty Support
- Directly support faculty-funded research, ensuring data assets meet grant timelines, deliverables, and compliance requirements.
- Advise investigators and project teams on cohort discovery, longitudinal analysis, and real-world data use.
- Enable AI- and ML-driven research by ensuring datasets are analytically valid, well-structured, and performance-optimized.
-
Balance self-service data access with appropriate governance and stewardship.
-
Management, Operations & Recharge Center Responsibilities
- Lead, mentor, and develop a team of data engineers, analysts, and related staff.
- Prioritize work across competing research and institutional demands in a transparent, service-oriented model.
- Operate within a federal recharge center, including:
- Supporting sustainable cost-recovery models
- Aligning effort with funded work and service agreements
- Partnering on budgeting, forecasting, and reporting
- Collaborate with governance, privacy, security, and compliance teams to ensure responsible data use.
- Contribute to continuous process improvement and service maturity.
- Manages professional staff. Establishes performance goals, allocates resources and assesses policies for direct subordinates.
- Recommends departmental plans to maintain administrative data. Ensures that the data is accessible, easy-to-use, flexible, and suitable for various analytical purposes, including joint analyses across multiple domains and interactions across multiple systems.
- Plans additional data warehouse and reporting environments as needed. Manages relationships with the University's primary software suppliers for end-user data access, query, reporting, and display.
- Performs other related work as needed.
Minimum Qualifications
Education:
Minimum requirements include a college or university degree in related field.
Work Experience:
Minimum requirements include knowledge and skills developed through 7+ years of work experience in a related job discipline.
Certifications:
Preferred Qualifications
Education:
- Master’s degree in computer science, informatics, or related field.
Experience:
- Experience supporting AI/ML initiatives or advanced analytics in healthcare or research.
- Familiarity with federal grant-funded research environments (e.g., CTSA, NIH-funded programs).
- Experience operating within a recharge or cost-recovery model.
- Knowledge of cloud platforms, scalable analytics infrastructure, and modern data ecosystems.
- Background working in an academic medical center or large research enterprise.
Certifications:
- Epic Report Builder, Epic Caboodle, or other related Epic certifications a plus.
- RN, DNP, MD, or other clinical licensure a plus.
Technical Skills or Knowledge:
- Knowledge of healthcare data including ICD-9, ICD-10, and CPT.
Preferred Competencies
- High level of problem solving and decision-making skills.
- Expert in SQL, Python, R, and Excel.
- Proficiency in relational databases with experience designing transformations, mappings, and working with reference table.
- Knowledge of graphical databases.
- Ability to translate technical information to non-technical audiences.
- Critical thinking and multi-tasking skills with the ability to manage multiple projects.
- Time management skills.
- Proficiency in creating technical specifications, business cases, and other development-related documentation.
- Ability to working through complex problems.
- Knowledge of hospitals and healthcare (experience in AMCs a plus).
- Knowledge of research processes.
- Intellectual curiosity.
Application Documents
- Resume (required)
- Cover Letter (required)
When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.
Job Family
Information Technology
Role Impact
People Manager
Scheduled Weekly Hours
40
Drug Test Required
No
Health Screen Required
No
Motor Vehicle Record Inquiry Required
No
Pay Rate Type
Salary
FLSA Status
Exempt
Pay Range
$120,000.00 - $170,000.00
The included pay rate or range represents the University’s good faith estimate of the possible compensation offer for this role at the time of posting.
Benefits Eligible
Yes
The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.
Posting Statement
The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University’s Notice of Nondiscrimination.
Job seekers in need
See all 28+ Data Contributor at University of Chicago jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Contributor at University of Chicago roles.
Get Access To All JobsTips for Finding Data Contributor Jobs at University of Chicago Jobs
Align your credentials with research data workflows
University of Chicago Data Contributor roles often support active research projects, so framing your experience around data collection, validation, or pipeline work tied to academic or institutional research makes your application more relevant than generic data entry experience.
Target departments with active federal grants
Departments running NIH, NSF, or Department of Education-funded research are more likely to have budget authority and urgency to sponsor international hires. Check the university's research portal to identify which schools and centers are actively recruiting data professionals.
Clarify your visa category with the hiring team early
University of Chicago sponsors H-1B, E-3, TN, and F-1 OPT and CPT for this role type. Ask HR which categories their international services office handles in-house, so you know whether your specific visa requires outside counsel and how that affects the offer timeline.
Use Migrate Mate to filter open Data Contributor roles
Browse active Data Contributor openings at University of Chicago filtered by visa sponsorship eligibility on Migrate Mate, so you're only applying to positions where international candidates are explicitly considered rather than discovering the limitation after an interview.
Prepare your degree equivalency documentation before interviews
For H-1B or E-3 sponsorship, USCIS requires the employer to establish that the role is a specialty occupation. A foreign credential evaluation confirming your degree's U.S. equivalency, prepared before an offer is extended, prevents delays during the I-129 filing process.
Understand OPT cap-gap timing if you're transitioning from F-1
If your OPT expires during H-1B processing, cap-gap protection only applies if your employer files the I-129 before April 1 for an October 1 start. Coordinate with the university's international affairs office well before your OPT end date to avoid a work authorization gap.
Data Contributor at University of Chicago jobs are hiring across the US. Find yours.
Find Data Contributor at University of Chicago JobsFrequently Asked Questions
Does University of Chicago sponsor H-1B visas for Data Contributors?
Yes, University of Chicago sponsors H-1B visas for Data Contributor roles. As a large research university, the institution has an established international services office that handles H-1B petitions, including the required Labor Condition Application filing with the DOL and the I-129 petition with USCIS. Confirm sponsorship availability directly with HR when you receive an offer, as support can vary by department and funding source.
How do I apply for Data Contributor jobs at University of Chicago?
Applications go through the University of Chicago's official careers portal, where Data Contributor postings are listed by department. You can also find open roles filtered by visa sponsorship eligibility on Migrate Mate, which is useful if you need to confirm international candidates are being considered before investing time in the application. Tailoring your materials to the specific research area or department increases your chances significantly.
Which visa types are commonly used for Data Contributor roles at University of Chicago?
University of Chicago sponsors H-1B, E-3, TN, F-1 OPT, F-1 CPT, and EB-2 or EB-3 Green Cards for data-focused roles. F-1 OPT and CPT are common entry points for recent graduates, while H-1B and E-3 are the primary long-term work visa pathways. TN applies to Canadian and Mexican nationals in qualifying occupational categories. The right category depends on your nationality, degree, and where you are in your career.
What qualifications does University of Chicago expect for Data Contributor positions?
Most Data Contributor roles at the university expect a bachelor's degree in a field related to data, research methods, or a relevant academic discipline, along with hands-on experience in data collection, cleaning, or management tools. Roles tied to specific research projects may require familiarity with domain-specific datasets or compliance standards. For H-1B or E-3 sponsorship, the role needs to qualify as a specialty occupation, so a direct connection between your degree field and the job duties matters.
How do I navigate the visa sponsorship timeline for a Data Contributor offer at University of Chicago?
Timeline depends heavily on which visa category applies and when you receive your offer. H-1B sponsorship tied to the annual cap requires an April 1 filing for an October 1 start, so offers extended in late spring or summer may involve a waiting period. E-3 and TN visas don't have annual caps and can be processed year-round, often faster. Request a clear timeline from the university's international services office immediately after your offer so you can plan your start date realistically.
See which Data Contributor at University of Chicago employers are hiring and sponsoring visas right now.
Search Data Contributor at University of Chicago Jobs