Postdoctoral Research Fellow – Saxena Lab

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GENERAL SUMMARY/OVERVIEW STATEMENT:

The Saxena Laboratory in the Center for Genomic Medicine at Massachusetts General Hospital (MGH) and Harvard Medical School is seeking highly motivated post-doctoral fellow candidates in statistical genetics, computational biology and functional genomics to lead research projects investigating the impact of common and rare human genetic variation on sleep disorders, circadian rhythm dysfunction and cardio-metabolic disease.

Our research group focuses on understanding the role of sleep and circadian rhythms in health and disease using population scale genetics and focused mechanistic investigation, with the aim to highlight therapeutic targets and inform intervention strategies to prevent, diagnose and treat sleep disorders and related adverse health outcomes. Current projects include 1) dissecting the causal links between insomnia and cardiovascular disease, 2) exploring mechanistic links between circadian rhythms and type 2 diabetes, and 3) investigating sleep and circadian rhythm physiology related to cognition and Alzheimer’s disease. The position at the Massachusetts General Hospital/Harvard Medical School, together with access to the Broad Institute genomics research community, and Harvard Division of Sleep Medicine offer an unparalleled opportunity for developing postdocs as researchers in a stimulating and highly collaborative training environment at the forefront of human genetic research and its application to sleep, circadian rhythm and related diseases. The new hire will be appointed as a Research Fellow at the Massachusetts General Hospital and Post-Doc at the Harvard Medical School.

PRINCIPAL DUTIES AND RESPONSIBILITIES:

  • Large-scale functional genomic and multi-ancestry human genetic analyses to prioritize causal genes at loci for sleep and circadian phenotypes
  • Dissecting heterogeneity of sleep and circadian disorders and understanding mechanistic relationships to disease
  • Performing molecular and genetic analyses in patient tissues and cells and collaborative research with researchers in other model organisms
  • Developing novel methodologies, including single cell-based methods, for refining molecular/genetic analyses
  • Preparation of written data reports, including methodology, figure preparations, written description of the study in the form of manuscripts and/or progress reports
  • Disseminate results via conferences and journal publication
  • Candidates interested in population genomics and disease association will have the opportunity to analyze very large-scale genome sequencing datasets over the next several years, while functional genomics candidates will work with cutting edge data types like single-cell transcriptome sequencing.
SKILLS & COMPETENCIES REQUIRED:     

  • A Ph.D. in human genetics, functional genomics and/or computational biology or molecular and cellular biology,
  • Experience with commonly used bioinformatics tools and databases
  • Curiosity and willingness to learn new computational and/or experimental tools to advance research hypotheses
  • First (or co-first) author of one or more peer-reviewed scientific publications
  • Excellent English verbal and written communication skills
  • Excellent quantitative and organizational skills
  • Proven ability to work well in collaborative environment

EDUCATION:   

Minimum Required: Doctoral Degree

EXPERIENCE:        

Required: Recent PhD graduate

WORKING CONDITIONS:

The fellow will be situated in the Saxena lab research area in the CGM allowing collaboration with other computational biology and experimental research investigators in the lab and department; they will also have access to the molecular biology lab/cell culture facilities.

Interested applicants should submit their CV and contacts for references to Richa Saxena, PhD rsaxena@mgh.harvard.edu

 

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.

 

Apply online here: https://partners.taleo.net/careersection/ghc/jobdetail.ftl?job=3158507&tz=GMT-04%3A00&tzname=America%2FNew_York