Post-doc

Job ID:
Job date: 2018-04-03
End Date:

Company : Broad Institute 

Country :

Role : Postdoc 


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Job Description:
The Broad Institute of MIT & Harvard is seeking an exceptional candidate to join a group whose goal is to characterize and interpret the genomic events in cancer. While the comprehensive analysis of cancer genomes is ongoing, major barriers still exist in converting this information to patient benefit. This individual would work with the group to examine genomic data (including somatic and germline events at DNA, RNA and proteomic levels) in both tumor and normal samples, then interpret that data across a set (population or cohort) of individuals with the aim of identifying genes, regions, and pathways that are altered, as well as pinpoint subtypes of the disease, in an effort to improve patient treatment. The Broad Institute is a vibrant and intellectually stimulating research environment with close links to MIT, Harvard and the Harvard-affiliated hospitals across Boston. We are looking for individuals who are enthusiastic about taking a hands-on, problem-solving approach and who enjoy collaborating with engineers and scientists in a collegial environment.

Being a member of our initiative will provide the opportunity for your contributions to be utilized and recognized across the vast global network of researchers in the fields of genomics and chemical biology.

  • Design and execute data analysis strategies to support research projects involving multimodal cancer datasets.
  • Together with other team members you will develop new methodologies for predictive modeling of high-dimensionality genomic data.
  • Explore novel data representation modes with emphasis on integrating diverse data types.
  • Conceive, implement and test statistical models; analyze data from experiments.
  • Present results to a broad range of non-computational staff. Prepare written reports and presentations for internal use and publication.
REQUIREMENTS:
  • A PhD in Computer Science, Engineering, Math, Statistics, Physics, or a related quantitative discipline is required.
  • Fast learner, analytical thinker, creative, "hands-on", team-player.
  • Experience with computational analysis, algorithm development and statistics.
  • Proficiency in at least one modern programming language. Experience with a scientific programming environment, such as R or Matlab, is preferred.
  • Strong communication skills.
  • Background in machine learning or biology is a plus.
  • Knowledge of cancer genomics is a plus but is NOT required. Inclination to acquire such knowledge is imperative.


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Additional Info:
EOE / Minorities / Females / Protected Veterans / Disabilities

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