Senior Data Scientist - Multiomics and Population Cohorts

Extended Site MaintenanceWe are performing updates and maintenance to improve the applicant experience. As a result, the site will be unavailable from Saturday, August 8, at 9:00 p.m. ET through Sunday, August 9, at 8:00 a.m. ET. During this outage period, applications for job postings cannot be submitted.Mission StatementMichigan 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 SummaryThe 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 and Sascha Goonewardena - 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 serves as the primary multiomics computational scientist for the program. The incumbent will build and maintain proteomics and multi-omic analysis pipelines, deploy AI model inferences at scale in large population biobanks, and apply causal and genetic inference methods to identify biological mechanisms underlying cardiometabolic disease. This is an infrastructure and pipeline-focused role: the incumbent constructs the computational frameworks and cross-cohort data systems that make population-scale discovery possible, working closely with the postdoctoral scientist who leads the hypothesis-driven analyses and manuscript development. This is one of two senior data scientist roles; the two positions serve complementary, non-overlapping functions.Responsibilities*Build, implement, and maintain proteomics and multi-omic analysis pipelines integrating high-throughput proteomic data with metabolomic, genomic, and clinical datasets from large prospective cohort studiesDeploy AI models to biobank datasetsBuild and maintain cross-cohort data harmonization and proteomic cross-walk tools across derivation and validation datasetsPerform causal and genetic inference analyses (including Mendelian randomization and mediation analysis) to identify disease mechanismsEvaluate pipeline and signature performance; prepare written and code-based analytical reports (Python or R)Contribute to manuscripts, grant applications, and presentationsCoordinate data sharing and computational workflows with collaborative network partners and other research partnersOther duties as assignedRequired Qualifications*Masters or doctoral degree in bioinformatics, computational biology, biostatistics, systems biology, or a closely related fieldDemonstrated experience analyzing large-scale proteomic datasets from high-throughput platforms (Olink or SomaScan)Proficiency in R and/or Python for statistical analysis and pipeline developmentExperience with multi-omic data integration combining at least two of: proteomics, metabolomics, genomics, transcriptomicsFamiliarity with statistical methods for high-dimensional biological data (dimensionality reduction, regularized regression, survival analysisStrong organizational skills and attention to detailAbility to prepare and present written and code-based (Python or R) analytical reportsStrong scientific writing skills; ability to contribute to manuscripts and grant applicationsDesired Qualifications*Experience with large prospective cohort or biobank datasets (e.g., CARDIA, MESA, Framingham Heart Study, UK Biobank, or similar)Experience with mediation analysis, causal inference, or Mendelian randomization methods in an omics contextBackground in cardiovascular biology, vascular biology, or cardiometabolic diseaseExperience with cloud or HPC computing environments, including Slurm-based job schedulingFamiliarity with SQL or PostgreSQL for data querying and managementTrack record of peer-reviewed publications as a computational contributor to biomedical researchFamiliarity with endothelial biology, inflammation, or microvascular diseaseExperience with Git and reproducible research practices ? Experience building reproducible pipelines using workflow managers (Snakemake, Nextflow, or equivalent)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 day2:1 Match on retirement savingsModes of WorkPositions 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 ScheduleWork Schedule: Monday through Friday, standard business hours. This is an onsite position.Additional InformationWe, 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.Background ScreeningMichigan 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 DeadlineJob 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.U-M EEO StatementThe 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.Job Opening ID280230Working TitleSenior Data Scientist - Multiomics and Population CohortsJob TitleBioinfo-Comput Biologist SrWork LocationAnn Arbor CampusAnn Arbor, MIModes of Work Onsite Full/Part TimeFull-TimeRegular/TemporaryRegularFLSA StatusExemptOrganizational GroupMedical SchoolDepartmentMM Int Med-CardiologyPosting Begin/End Date7/30/2026 - 8/27/2026Career Interest Research