Post-doctoral Research Fellow, Center for Genomic Medicine

Mass General Brigham • Boston, MA

4d • Onsite

About The Position

Dr. Jie (Jack) Hu and Dr. Richa Saxena in the Center for Genomic Medicine (CGM) at the Massachusetts General Hospital (MGH) and Harvard Medical School (HMS), are seeking a highly motivated post-doctoral fellow candidate working in areas of life-course epidemiology, integrated omics, women’s and children’s health, and chronic disease prevention. The fellow will work under direct mentorship of Dr. Jie (Jack) Hu, Instructor in the CGM and at MGH and HMS, Instructor in the Department of Epidemiology at Harvard T.H. Chan School of Public Health, and Associated Scientist at Broad Institute of MIT and Harvard. Dr. Hu’s research program focuses on investigating of how genetic, molecular, lifestyle, and environmental factors contribute to disease risk across the lifespan, with an emphasizes on adverse pregnancy outcomes, cardiometabolic diseases, and neurodegenerative disorders. Applicants interested in life-course epidemiology, chronic disease epidemiology, large-scale electronic health records (EHR)-based datasets, genetics, metabolomics, proteomics, and multi-omics integration are encouraged to apply. The new hire will be appointed as a Research Fellow at the Massachusetts General Hospital and Post-Doc at the Harvard Medical School.

Requirements

• Ph.D. in epidemiology, bioinformatics, biostatistics, computational biology, or a related field, or an M.D. The degree must be completed by the fellowship start date.
• Experience in conducting population-based research using phenotypic and/or multi-omics data from EHR, cohort studies, and/or biobanks.
• First (or co-first) author of one or more peer-reviewed scientific publications and/or presentations at scientific conferences
• Experience in conducting research using one or more omics platforms (e.g., genetics, genomics, epigenetics, metabolomics, or proteomics), or interested in such research
• Strong programming skills in R, Python, and/or SAS
• Excellent English verbal and written communication skills
• Able to work both independently and in a collaborative and interdisciplinary research environment

Responsibilities

• Characterizing the risk of various chronic diseases among women with a history of adverse pregnancy outcomes, such as gestational diabetes and preeclampsia, using large-scale EHR-based biobanks and longitudinal cohort studies.
• Elucidating the biological mechanisms linking adverse pregnancy outcomes to an increased risk of future chronic diseases later in life through integrative multi-omics approaches – including genetics, epigenetics, metabolomics, and proteomics – in large-scale population-based studies.
• Identifying risk factors and underlying mechanisms related to the intergenerational transmission of chronic disease risk, including obesity and hypertension, by leveraging phenotypic and multi-omics data in pregnancy studies and birth cohorts.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree