Postdoctoral Fellow, Computational Biology

Job ID:
Job date: 2018-03-17
End Date:

Company : Broad Institute 

Country :

Role : Postdoc 


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Job Description:
The laboratories of Patrick Ellinor and Steven Lubitz at the Broad Institute are looking for exceptional postdoctoral fellows to join our efforts.

We are looking for a highly motivated and talented individuals with a computational background. You will collaborate with computational biologists, laboratory scientists, and clinicians in a collegial work environment characterized by informality and intellectual rigor. You will take part in analyzing data from our ongoing sequencing/genotyping studies focused on atrial fibrillation and other cardiovascular diseases, inform patient stratification using data from available resources (biobanks, genomic consortia, etc), and contribute to ongoing target validation efforts to help inform the drug discovery process.

CHARACTERISTIC DUTIES

  • Apply and develop computational pipelines to run genome-wide association studies, analyses of large scale genome sequencing data, and perform phenome-wide association studies.
  • Work with datasets from large-scale biobanks.
  • Duties will include defining and extracting phenotypes in collaboration with clinicians, establishing efficient computational pipeline to run association studies, fine mapping of results.
  • Conceive, implement and test statistical models; work with wet-lab researchers to translate these models into testable experiments; help analyze data from experiments.
REQUIREMENTS:
  • A PhD in a quantitative discipline (such as computational biology, biostatistics, statistical genetics, computer science, bioinformatics, physics - or in biology with a strong quantitative background) or equivalent experience.
  • Experience with biological datasets, preferably large scale genotyping and/or sequencing data and experience with electronic health record (EHR) data.
  • Proficiency in at least one modern programming language.
  • Experience with a scientific programming environment, such as R, Python, Perl, or Matlab, is preferred.
  • Experience with publicly available genetic databases (eg GTEx, Roadmap, ExAC, UCSC, GWAS catalog) preferred.
  • Fast learner, analytical thinker, creative, "hands-on", team-player.
  • Strong communication skills.
  • Knowledge of cardiovascular disease is a plus but is NOT required.
  • Inclination to acquire such knowledge is.


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Additional Info:
The Broad Institute provides a vibrant research environment with close links to top academic institutions across the Boston area and provides the potential for your contributions to be used and recognized worldwide.

EOE / Minorities / Females / Protected Veterans / Disabilities

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