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Harvard University
HMS - Postdoctoral Fellow in Biomedical InformaticsHarvard University • Cambridge, Massachusetts, US
HMS - Postdoctoral Fellow in Biomedical Informatics

HMS - Postdoctoral Fellow in Biomedical Informatics

Harvard University • Cambridge, Massachusetts, US
30+ days ago
Job type
  • Full-time
Job description

Department/Area

*** Position Description We invite applicants for a postdoctoral fellow position in the O’Connor lab at Harvard Medical School in Boston, Massachusetts, in the field of computational human genetics. Prospective postdoctoral researchers should hold a Ph.D. by the time they would begin their position. We are most interested in applicants who have experience in computational methods development, in human genetics or a different field.

Possible areas of research include:

1. Developing methods to compare the genetic architecture of rare vs. common genetic variation
2. Developing methods to analyze GWAS data using graphical models and genome-wide genealogies
3. Developing methods to integrate rare protein coding genetic association data with functional and machine learning-derived features
4. Developing methods to characterize the genetic architecture of autism
Salary and Benefits
This position is salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at .With this appointment, you are represented by the Harvard Academic Workers – UAW for purposes of collective bargaining and matters affecting your compensation and working conditions.Harvard has an policy that outlines our commitment to prohibiting discrimination on the basis of race, sex, ethnicity, color, national origin, religion, disability, or any other characteristic protected by law or identified in the university’s . Basic Qualifications
  • Ph.D. or M.D./Ph.D. in areas such as computational human genetics or related fields
  • At least one peer-reviewed first-author publication
Additional Qualifications
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HMS - Postdoctoral Fellow in Biomedical Informatics • Cambridge, Massachusetts, US

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