Senior Data Scientist - AI and ECG

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 AI and ECG computational scientist for the program. The incumbent will build and train deep learning foundation models and drive the computational work that connects cardiac electrical signatures to biological disease mechanisms. This is an engineering and infrastructure-focused role; the incumbent builds and optimizes the models and data systems that power the program's AI-driven analyses. This is one of two senior data scientist roles; the two positions serve complementary, non-overlapping functions.Responsibilities*Develop, train, and refine deep learning foundation models (including transformer and self-supervised architectures) for ECG-based detection and endotyping of cardiometabolic diseaseAssemble, harmonize, clean, and catalog large-scale, heterogeneous ECG datasets from multiple internal and external sources and formatsBuild and maintain reproducible data processing pipelines, data loaders, and PostgreSQL-based data management infrastructureEvaluate model performance, document methods, and prepare written and code-based analytical reports (Python)Contribute to manuscripts, grant reports, and presentationsCollaborate with collaborative network partners and other research collaborators on code, computational workflows, and data harmonizationOther duties as assignedRequired Qualifications*Masters or doctoral degree in computer science, electrical engineering, biomedical engineering, computational biology, statistics with an AI/ML focus, data science, or a closely related quantitative fieldDemonstrated experience developing and training deep learning models, preferably in a biomedical or physiological signal contextProficiency in Python and deep learning frameworks (PyTorch preferred; TensorFlow acceptable)Experience with large-scale, heterogeneous data harmonization and processing pipelines spanning multiple source formatsFamiliarity with self-supervised, semi-supervised, or foundation model architectures (e.g., transformers, masked autoencoders)Proficiency in SQL, preferably PostgreSQL, for data querying and managementExperience with high-performance computing environments, including Slurm-based job schedulingStrong organizational skills and attention to detailAbility to prepare and present written and code-based (Python or R) analytical reportsStrong scientific communication skills; ability to contribute to manuscripts and grant reportsDesired Qualifications*Experience with electrocardiographic (ECG) or other physiological waveform dataExperience with multimodal data integration, particularly combining physiological signals with cardiac imaging dataFamiliarity with clinical data infrastructure (EHR, DICOM, HL7/FHIR)Experience with transfer learning or domain adaptation across heterogeneous datasetsTrack record of peer-reviewed publications or preprints in machine learning, AI, or biomedical informaticsFamiliarity with cardiovascular physiology or cardiology researchExperience with Git and reproducible research practicesFamiliarity with cloud computing environments (AWS, GCP, or Azure)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 ID280229Working TitleSenior Data Scientist - AI and ECGJob TitleBioinfo-Comput Biologist SrWork LocationAnn Arbor CampusAnn Arbor, MIModes of WorkOnsiteFull/Part TimeFull-TimeRegular/TemporaryRegularFLSA StatusExemptOrganizational GroupMedical SchoolDepartmentMM Int Med-CardiologyPosting Begin/End Date7/30/2026 - 8/27/2026Career InterestResearch