Associate Computational Biologist – Cancer Dependency Map

Job ID: 5018
Job date: 2018-01-12
End Date:

Company : Broad Institute 

Country :

Role : Other 


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Job Description:
The Broad Institute of MIT ; Harvard is looking to hire an exceptional candidate to join the Cancer Models Atlas Genomics team. This is a unique opportunity to make substantial contributions to the development of personalized cancer therapies. Over the last several years it has become possible to use cancer cell line models in high-throughput CRISPR and drug sensitivity screens to study the unique properties of specific cancer types and to identify specific cancer vulnerabilities.

To create a comprehensive Cancer Dependency map, we are expanding our efforts to build a highly annotated cancer cell model collection that will be critical to enabling new scientific breakthroughs. As part of this effort, we are looking for a highly motivated and talented individual with a computational background to join the Cancer Models Atlas Genomics team. You will be part of a highly collaborative team and work closely with scientists and engineers across the cancer program. By applying your computational and analytical skills to multimodal cancer data, you will contribute to the generation and testing of hypotheses leading to new biological insights.

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.

CHARACTERISTIC DUTIES

  • You will Implement and maintain analytical pipelines for Cancer Model Atlas genomics data.
  • Together with other team members you will develop data analysis strategies, design algorithms, and deploy computational tools for the exploration and analysis of large biological datasets.
  • Develop figures and reports, which provide transparency into the data quality and characteristics, and automate the production of such reports.
  • Help implement analysis methodologies into software tools for publication and distribution to cancer research community.
REQUIREMENTS:
  • Bachelor's of Science or Master's degree in Computer Science, Bioinformatics, Engineering, Physics, Math, Statistics, or a related quantitative discipline.
  • Fast learner, analytical thinker, creative, "hands-on", team-player.
  • Experience working with genomic data is strongly preferred.
  • Background in statistics and machine learning is preferred.
  • Proficiency in at least one modern programming language. Experience with a scientific computing tool, such as R or Matlab, is preferred.
  • Working knowledge of HTML, CSS, JavaScript and relational databases is preferred.
  • Strong communication skills.
  • 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

About Us:

The Broad Institute is pioneering a new model of collaborative biomedical science to transform biology and medicine. To do that, we have created a unique community of amazing, creative people — “Broadies” — each with a passion for pushing scientific frontiers.

Broadies have a diverse collection of talents, expertise, and backgrounds, creating a rich collaborative environment for solving intractable scientific problems. We are always looking for new team members within Research, Computational Biology, Software Engineering, and Administration to help us tackle important problems at the cutting edge of science.

Why Broad?

It comes down to our culture. Our community transcends academic and organizational barriers, encouraging different points of view and making all Broadies part of something meaningful.

If ours is a community you would want to be a part of, then please apply!

[Click Here to Access the Original Job Post]