Research Data Coordinator (term limited)

Michigan Medicine; Ann Arbor (MI); On-site; USD 60,000 - 75,000; Full time

Benefits offered by this job

Excellent medical coverage

2:1 retirement matching

Job summary

Michigan Medicine in Ann Arbor is seeking a Research Data Coordinator to support a cutting-edge cardiovascular program, working with senior data scientists on data infrastructure, quality control, and pipeline maintenance.

You will coordinate data transfers, maintain data dictionaries, and contribute to reproducible analyses across multiple sites. This is a 1-year term-limited appointment with potential renewal based on funding and performance.

Qualifications

• Bachelor's degree in a quantitative field or equivalent experience.
• 1–3 years of related experience.
• Proficiency in Python for data analysis and pipeline support.
• Experience with structured datasets, QC, and reproducible workflows.
• Strong organizational skills and attention to detail; ability to manage multiple tasks.
• Supervisory and budget administration experience.
• Ability to prepare and present written and code-based reports.

Responsibilities

• Support data governance, pipeline maintenance, and code documentation across active research datasets.
• Perform data cleaning, transformation, and quality control using Python; maintain project databases and dictionaries.
• Coordinate data transfers and formatting across platforms; support REDCap database management and data entry quality monitoring.
• Prepare and present written and code-based reports of work progress and analytic results.
• Document analytic workflows to ensure reproducibility.
• Support administrative tasks to enable investigators to focus on grants.
• Collaborate with research coordinators to resolve data discrepancies.

Skills

Python

Data governance

Data cleaning

Documentation

Communication

Supervisory experience

Report writing

Education

Bachelor's degree in engineering, computer science, data science, statistics, mathematics

Tools

SQL

PostgreSQL

Git

DataDirect

REDCap

Job description

Mission Statement

Michigan Medicine improves the health of patients, populations and communities through excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and internationally. Our mission is guided by our Strategic Principles and has three critical components; patient care, education and research that together enhance our contribution to society.

Job Summary

The Division of Cardiovascular Medicine at the University of Michigan is expanding a nationally and internationally funded research program at the cutting edge of cardiovascular medicine. Led by Drs. Venkatesh Murthy - whose work has appeared in leading journals including NEJM AI, JAMA, and Circulation - the program fuses artificial intelligence, advanced cardiac imaging, multiomics (proteomics, metabolomics, and genomics), and cardiometabolic disease biology to develop precision diagnostics and identify novel therapeutic approaches, with a particular focus on coronary microvascular disease and other cardiovascular conditions that disproportionately affect women and remain poorly served by existing diagnostic tools. This is a rare opportunity to join a high-impact, well-funded program doing science that matters.

This position provides research data coordination and computational pipeline support for the program, working closely with the senior data scientists and principal investigators. This is a support and coordination role rather than a primary data science position: the incumbent assists senior scientists with data infrastructure, quality control, and pipeline maintenance, freeing them to focus on the analytical and grant-development activities where they are most needed. This is a 1-year term-limited appointment with possibility of renewal based on funding and performance.

Responsibilities*

• Support data governance, pipeline maintenance, and code documentation across active research datasets, including data extracted from clinical sources such as U-M DataDirect
• Perform data cleaning, transformation, and quality control using Python; maintain and update project databases and data dictionaries
• Coordinate data transfers, linkages, and formatting across platforms and study sites; support REDCap database management and data entry quality monitoring
• Prepare and present written and code-based (Python) reports of work progress, data quality metrics, and analytic results
• Document analytic workflows to ensure reproducibility
• Support administrative research tasks to enable investigators to focus on grant-funded scientific activities
• Collaborate with research coordinators to identify and resolve data discrepancies
• Other duties as assigned

Required Qualifications*

• Bachelors degree in engineering, computer science, data science, statistics, mathematics, or a closely related quantitative field. An equivalent combination of education and experience may be accepted, including relevant undergraduate and graduate student work experience.
• 1-3 years of experience in a related field.
• Proficiency in Python for data analysis, including data cleaning, transformation, and pipeline support
• Experience working with structured datasets: quality control, documentation, and reproducible workflows
• Strong organizational skills and attention to detail; ability to manage multiple concurrent tasks
• Supervisory and budget administration experience.
• Ability to prepare and present written and code-based (Python) reports of work progress, methods, and results
• Strong written and verbal communication skills; ability to work effectively with data scientists, faculty investigators, and administrative staff

Desired Qualifications*

• Experience with SQL or relational database systems (PostgreSQL preferred)
• Familiarity with version control (Git) and collaborative code management practices
• Familiarity with U-M DataDirect or similar clinical data query platforms (i2b2, OMOP, or equivalent)
• Familiarity with data governance practices, including metadata documentation and data dictionaries
• Experience with REDCap or similar clinical research data management platforms
• Exposure to biomedical, clinical, or health-related datasets
• Interest in cardiovascular medicine, AI in medicine, or translational research

Why Join Michigan Medicine?

Michigan Medicine is one of the largest health care complexes in the world and has been the site of many groundbreaking medical and technological advancements since the opening of the U-M Medical School in 1850. Michigan Medicine is comprised of over 30,000 employees and our vision is to attract, inspire, and develop outstanding people in medicine, sciences, and healthcare to become one of the world's most distinguished academic health systems. In some way, great or small, every person here helps to advance this world-class institution. Work at Michigan Medicine and become a victor for the greater good.

What Benefits can you Look Forward to?

• Excellent medical, dental and vision coverage effective on your very first day
• 2:1 Match on retirement savings

Modes of Work

Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes.

Work Schedule

Work Schedule: Monday through Friday, standard business hours.

Work Locations

This is an onsite position.

Additional Information

We, the staff and faculty of the U-M Cardiovascular Center (CVC) team, are committed to advancing medicine and serving humanity through living and teaching our core values of Respect and Compassion; Collaboration; Innovation; and Commitment to Excellence. Each CVC employee is expected to understand and demonstrate that in every interaction we represent our entire organization in the care we provide and in the courtesies we extend to patients, families, and each respective team member. The CVC is dedicated to partnering with patients and families to deliver the safest and highest quality of health care.

The Division of Cardiovascular Medicine is firmly committed to advancing inclusion, diversity, equity, accessibility, and belonging, which are core to the culture and values of the Medical School Office of Research. Our community supports recruiting and cultivating a diverse workforce as a reflection of our commitment to serve the diverse people of Michigan and the world. We strive to create a work culture where each team member feels respected, valued, and safe.

This is a term-limited appointment with possibility of renewal based on funding and performance. At the end of the stated term, your appointment will terminate, and will not be eligible for Reduction-in-Force (RIF) benefits. This term-limited appointment does not create a contract or guarantee of employment for any period of time as you will remain subject to disciplinary or other performance measures, up to and including termination, at the will of the University in accordance with existing University policy and standards for employee performance and conduct.

Background Screening

Michigan Medicine conducts background screening and pre-employment drug testing on job candidates upon acceptance of a contingent job offer and may use a third party administrator to conduct background screenings. Background screenings are performed in compliance with the Fair Credit Report Act. Pre-employment drug testing applies to all selected candidates, including new or additional faculty and staff appointments, as well as transfers from other U-M campuses.

Application Deadline

Job openings are posted for a minimum of seven calendar days. The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled any time after the minimum posting period has ended.

U-M EEO Statement

The University of Michigan is an Equal Opportunity Employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants, including protected veterans and individuals with disabilities.