Clinical Research Jobs at University of Chicago with Visa Sponsorship
University of Chicago's clinical research teams span oncology trials, public health studies, and translational science programs across its medical campus. The university has an established process for sponsoring international researchers, supporting multiple visa pathways for qualified candidates in this function.
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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 42+ Clinical Research at University of Chicago jobs
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Get Access To All JobsTips for Finding Clinical Research Jobs at University of Chicago Jobs
Align your credentials to specialty occupation standards
Clinical research roles at a research university typically require a degree directly tied to the position, such as life sciences, public health, or biostatistics. Document how your specific degree field maps to the role before applying, since USCIS scrutinizes specialty occupation eligibility closely.
Target protocol-specific openings on the medical campus
University of Chicago posts clinical research coordinator and research specialist roles tied to active IRB-approved protocols. Applying to openings linked to funded studies improves your odds, since those positions have defined timelines and stronger internal urgency to fill and sponsor quickly.
Clarify OPT STEM extension eligibility before your interview
Many clinical research roles at universities qualify under CIP codes that support a 24-month STEM OPT extension, but not all do. Confirm the SOC code attached to the role with the hiring department before your offer conversation, so you know your runway before H-1B cap season.
Understand the academic H-1B cap exemption advantage
As a nonprofit research university, University of Chicago is cap-exempt for H-1B purposes. This means USCIS can adjudicate your petition any time of year, without waiting for the April lottery window, which removes one of the biggest timing constraints for research hires.
Confirm DOL prevailing wage tier during offer negotiations
Your employer must file a Labor Condition Application with DOL certifying your wage meets the prevailing rate for the role and location. Ask HR which wage level they're filing at, since Level I and Level II differ substantially and affect both your offer and the LCA's accuracy.
Browse University of Chicago clinical research openings on Migrate Mate
Filter by visa type to find University of Chicago clinical research postings where sponsorship is confirmed. Migrate Mate surfaces roles matched to your specific visa status, so you spend your time on positions that are actually accessible rather than ones that exclude international candidates.
Clinical Research at University of Chicago jobs are hiring across the US. Find yours.
Find Clinical Research at University of Chicago JobsFrequently Asked Questions
Does University of Chicago sponsor H-1B visas for Clinical Researchs?
Yes. University of Chicago sponsors H-1B visas for qualifying clinical research roles. Because it is a nonprofit research university, it qualifies as a cap-exempt employer, meaning petitions can be filed at any point in the year rather than being subject to the annual lottery. This is a meaningful structural advantage for international candidates in research functions.
How do I apply for Clinical Research jobs at University of Chicago?
Applications go through the University of Chicago's careers portal. For clinical research roles, positions are typically posted at the coordinator, specialist, or manager level and tied to specific research programs or principal investigators. You can also browse open roles filtered by visa sponsorship eligibility on Migrate Mate, which surfaces University of Chicago postings matched to your visa status.
Which visa types does University of Chicago commonly use for Clinical Research roles?
The most common pathways for clinical research positions are H-1B, F-1 OPT (including STEM extension), and TN for Canadian and Mexican nationals in qualifying occupational categories. For candidates seeking permanent residence, University of Chicago has supported EB-2 and EB-3 PERM-based green card processes for research staff, though timelines depend on the role and the employee's priority date.
What qualifications does University of Chicago expect for Clinical Research positions?
Requirements vary by level, but most roles expect a bachelor's degree in a life science, public health, or related field, with graduate degrees preferred for senior or regulatory-focused positions. Hands-on experience with IRB submissions, GCP certification, and familiarity with clinical trial management systems are commonly listed. Research coordinator roles often prioritize protocol coordination experience over advanced degrees at the entry level.
How do I time my application around the H-1B sponsorship process at University of Chicago?
Because University of Chicago is cap-exempt, there is no April 1 filing deadline to plan around. You can accept an offer and begin the H-1B petition process at any time of year. That said, USCIS standard processing takes several months, so aligning your start date with your current status expiration, including any OPT or grace period remaining, is the key timing variable to manage with HR.
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