We are actively hiring for a postdoctoral fellow (2-3 years) working for multiple nutritional omics projects using several large-scale longitudinal cohorts, clinical trials, and Biobanks. Applicants interested in nutritional epidemiology, cardiometabolic disease epidemiology, metabolomics, genetics, and multi-omics integration, are welcome to apply. The fellow will have ample opportunities to work on projects related to the following research areas:
· Integrate multi-omics data, including genetics, metabolomics, and metagenomics, to examine mechanisms through which diet and lifestyle affect the risk of cardiovascular disease and diabetes.
· Use polygenic risk prediction for complex disease to identify high-risk populations and to examine dietary and lifestyle strategies for effective disease prevention among high genetic risk groups.
· Employ large-scale GWAS summary data of biological risk factors (e.g., proteomic markers indicating diverse inflammatory pathways) to examine pathways potentially relevant to the development of chronic diseases.
The fellows will work closely with Dr. Jun Li, Assistant Professor of Medicine at Brigham and Women's Hospital (BWH) and Harvard Medical School (HMS), and Dr. Liming Liang, Professor of Statistical Genetics from Harvard T.H. Chan School of Public Health (HSPH). The fellow will receive training in precision nutrition, systems epidemiology, cardiometabolic disease epidemiology, genetic epidemiology and multi-omics integration methods. The fellow will develop skills in multi-omics data analysis, teaching, publications, and grant writing (e.g., postdoc fellowship and career development grants). The research community at BWH, HSPH, and the greater Boston area provides ample opportunities for collaborations and career advancement. To know more about being a postdoc at HSPH, please visit https://www.hsph.harvard.edu/faculty-affairs/postdoctoral-research-fellows/.
Basic Qualifications:
Applicants should have a doctoral degree in nutrition, epidemiology, bioinformatics/biostatistics, or related areas, with demonstrated research experience in epidemiological and nutritional research. Practical experience with large cohort data analysis, bioinformatics, and genetics and high-dimensional omics data analysis is desirable.
Please submit a brief statement of interest, CV, contact information for at least 3 references, and one sample publication by email to: Dr. Jun Li, juli@bwh.harvard.edu and Dr. Liming Liang, lliang@hsph.harvard.edu
Equal Opportunity Employer:
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law.
Harvard University is devoted to excellence in teaching, learning, and research, and to developing leaders in many disciplines who make a difference globally. The University, which is based in Cambridge and Boston, Massachusetts, has an enrollment of over 20,000 degree candidates, including undergraduate, graduate, and professional students. Harvard has more than 360,000 alumni around the world. The University has twelve degree-granting Schools in addition to the Radcliffe Institute for Advanced Study, offering a truly global education. Established in 1636, Harvard is the oldest institution of higher education in the United States.