Postdoctoral Fellow in Cardiovascular Genomics and Biomedical Informatics

Salary depends on experience
Posted on 06/29/18
Salary depends on experience
Posted on 06/29/18


The laboratories of Dr. Pradeep Natarajan at the Massachusetts General Hospital/Harvard Cardiovascular Research Center (CVRC) and Center for Genomic Medicine (CGM) and Broad Institute of Harvard & MIT, and Dr. Christopher O’Donnell at the Boston Veterans Affairs Medical Center/Harvard Center for Population Genetics have a unique postdoctoral position immediately open for a highly qualified applicant interested in investigating the genetics and biology of atherosclerotic cardiovascular disease using human genetics across diverse epidemiological cohorts and hospital-based biobanks.

This position will leverage stimulating environments and resources across world-class institutions. Individuals will work with a range of datasets with a primary focus on the Million Veterans Program, the largest biobank in the world with dense genomic and ongoing molecular profiling as well as 20 years of electronic health records.

The successful candidate will be jointly closely mentored by both Dr. Natarajan and Dr. O’Donnell. At the completion of training, individuals will be highly trained in a broad spectrum of scalable statistical genetic approaches, integrative genomic analyses, conventional epidemiology, and phenotype classification algorithms applicable to multiple fields of research in human health and biology.


  • Implement quality control, genotype-phenotype association, and fine mapping analyses for genome-wide arrays, whole exome sequencing, and whole genome sequencing studies.

  • Integrate data from publicly-available datasets to bioinformatically test biological hypothesis.

  • Develop novel integrative genomics analyses from orthogonal dense clinical and biochemical phenotypes.

  • Analyses of retrospective and prospective longitudinal data for risk prediction modeling.

  • Extraction and modeling of phenotypes using conventional and machine learning algorithms.


  • Ability to independently conduct hypothesis-driven research

  • Strong record of productivity, motivation, and adaptability

  • Ability to work collaboratively with excellent oral and written communication skills

  • Strong background in computational biology, bioinformatics, and biostatistics

  • Prior experience in human genetic analyses and bioinformatics analyses of publicly available datasets

  • Strong proficiency in UNIX, R, and Python

  • Experience with cloud computing is strongly preferred

  • Knowledge of cardiovascular disease is not required



• PhD in computational biology, biomedical informatics, biostatistics, statistical genetics, genetic epidemiology, or computer science EEO Statement 

Massachusetts General Hospital is an Equal Opportunity Employer. By embracing diverse skills, perspectives and ideas, we choose to lead. Applications from protected veterans and individuals with disabilities are strongly encouraged.


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