A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position.

The Mary H. Weiser Food Allergy Center is seeking a highly skilled Technical Data Manager for an exciting and cutting-edge large birth cohort study at the University of Michigan. Join our dynamic and interdisciplinary team of experts in Allergy, Immunology, Epidemiology, and Genetics as we investigate the pathogenesis of food allergy and other allergic conditions. In addition to biological samples, this study collects longitudinal survey data from participants, which is stored in REDCap.

We are looking for a candidate who can lead our data management autonomously within a multi-disciplinary team. This is an exceptional opportunity to leverage your expertise and contribute to groundbreaking research. The position is flexible in who we are looking for: we are willing to consider both full-time and part-time applicants. We are focused on finding someone who will fit well with our team and be a good communicator and eager worker.

This will be an in-person position with the potential to earn a 1-2 day work-from-home contract after meeting performance metrics assessed bi-annually.

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.

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

Spearhead the maintenance of study databases, skillfully integrating data from diverse sources to ensure comprehensive and accurate records.

Design and implement automated workflows for data cleaning and data completion adherence with the coordination team. 

Develop automated pipelines for data cleaning, pre-processing using a programming language such as R or Python.

Conduct regular data QA/QC: audit checks, discrepancy resolution and version control following HIPAA guidelines.

Prepare data in curated datasets at quarterly intervals for analysis by physician residents, fellows, students, and PIs. Prepare interim progress reports for grant applications and publications.

Create and maintain documentation: data management plans, SOPs, codebooks, CRF design, variable harmonization rules.

Support research coordinators and lab staff in their interactions with REDCap.

Take charge of data access and maintain the REDCap databases.

Manage the uploading of electronic medical record data into REDCap databases.

Utilize advanced data visualization techniques to generate compelling visual representations, reports, and manuscripts that effectively communicate study findings.

• Senior level: Bachelor's degree with 5 or more years of experience in independent data management experience. An equivalent combination of education and experience may be accepted.
• Intermediate level: Bachelor's degree with 4 or more years of experience in independent data management experience. An equivalent combination of education and experience may be accepted.
• Understanding of data privacy regulations
• Proficiency in any: Python or R coding languages
• Proven experience in data visualization and data cleaning.
• Knowledge of regulatory and compliance requirements in clinical research, including IRB protocols and guidelines.
• Excellent communication skills
• Takes direction eagerly

• Master's degree in epidemiology, biostatistics, public health, developmental science, informatics, informational science, computer science, or related field.
• Experience working with longitudinal birth cohort or epidemiologic datasets.
• Experience in neuroimaging, genetic data, or multi-modal clinical data integration.
• Familiarity with data sharing standards and/or national cohort repositories.
• Experience with data dashboarding and visualization tools (R, Python, REDCap).
• Track record of contributing to peer reviewed publications or grant proposals.
• User rights role experience with RedCap databases

This position is being posted as a part time position, however, the team will consider full-time applicants if they fit well with the team and have advanced skills.

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.

This position may be underfilled at a lower classification depending on the qualifications of the selected candidate.

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.

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 anytime after the minimum posting period has ended.

The University of Michigan is an equal employment opportunity employer.