Manager of Clinical Research Data Warehousing

Posted 4 Days Ago
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Campus Hill Park, FL, USA
In-Office
120K-170K Annually
Senior level
Edtech
The Role
Lead strategy, architecture, and team oversight for the institution's clinical research data warehouse. Align data assets with research and institutional goals, govern common data models (OMOP/PCORnet), enable FHIR/APIs and AI/ML-ready datasets, oversee ETL from Epic (Clarity/Caboodle/Cosmos), support faculty research and grant deliverables, manage staff, and operate within a federal recharge center framework.
Summary Generated by Built In

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 of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.

 

All offers of employment are contingent upon a background check that includes a review of conviction history.  A conviction does not automatically preclude University employment.  Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.

 

The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu. Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.

Skills Required

  • College or university degree in a related field
  • 7+ years of work experience in a related job discipline
  • Experience leading, mentoring, or managing data engineers and analysts
  • Master's degree in computer science, informatics, or related field
  • Experience supporting AI/ML initiatives or advanced analytics in healthcare
  • Familiarity with federal grant-funded research environments (e.g., CTSA, NIH)
  • Experience operating within a recharge or cost-recovery model
  • Knowledge of cloud platforms, scalable analytics infrastructure, and modern data ecosystems
  • Epic certifications or experience with Epic Report Builder, Caboodle, Clarity, Cosmos
  • Knowledge of healthcare data standards and coding (ICD-9, ICD-10, CPT)
  • Expertise in SQL, Python, R, and Excel
  • Proficiency with relational databases, data transformations, mappings, and reference tables
  • Knowledge of graph (graphical) databases
  • Experience with common data models and interoperability (OMOP, PCORnet, FHIR, APIs)
  • Background working in an academic medical center or large research enterprise
  • Resume and Cover Letter (must be uploaded)
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The Company
Chicago, IL
Year Founded: 1890

What We Do

The University of Chicago is an urban research university that has driven new ways of thinking since 1890. Our commitment to rigorous inquiry and intellectual freedom draws pathbreaking scholars to our global campuses, where field-defining ideas are born that challenge and change the world. The University of Chicago has its main campus on Chicago's South Side and seven international campuses and centers throughout the world. Students can choose from 53 majors and 47 minors in the undergraduate College, with four divisions and seven professional schools for graduate study.

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