Post-doctoral Research Fellow, Center for Genomic Medicine

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Job Summary

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 womens and childrens 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. Hus 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.

HOW TO APPLY:

Interested applicants should submit their CV/Resume Cover Letter and contacts for at least 2 references directly to Dr. Jie (Jack) Hu ().

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Applications submitted only through Workday will not be forwarded to the hiring manager and may not be reviewed.

PRINCIPAL DUTIES AND RESPONSIBILITIES:

The fellow will be situated at MGH under the guidance and mentorship of Dr. Jie (Jack) Hu. The successful candidate will have opportunities to work with clinical genetic and multi-omic data from large-scale EHR-based biobanks (e.g. MGB Biobank All of Us etc.) pregnancy / birth cohorts (e.g. Boston Birth Cohort TOPMed BCC-PREG and nuMoM2b-HHS studies etc.) and longitudinal cohort studies (e.g. Nurses Health Studies Womens Health Initiative ROSMAP TOPMed cohorts etc.). The fellow will lead research projects including but not limited to:

• 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.

SKILLS & COMPETENCIES REQUIRED:

The ideal candidate will have received or expect to receive soon a 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. Priority will be given to candidates with experience in conducting population-based research using phenotypic and/or multi-omics data from EHR cohort studies and/or biobanks. Additional qualifications include:

• 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

The compensation range for this role is between $$71750 - $81179. Candidate experience is thoughtfully considered throughout the recruitment process and those with significant experience may be considered for compensation above the starting range listed as consistent with organizational guidelines and internal equity

Years of experience
0 $71750 - $73544
1 $73544 - $75382
2 $75382 - $77267
3 $77267 - $79199
4 $79199 - $81179

Onsite

185 Cambridge Street

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