Associate Computational Biologist – Data Science

Job ID: 3025
Job date: 2017-03-15
End Date:

Company : Broad Institute 

Country :

Role : Technician 


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Job Description:
The comprehensive analysis of cancer genomes is nearly complete, but leveraging this wealth of information to improve patient outcomes remains an elusive goal. Now, a critical task in cancer research is to predict those genes and proteins that are essential to the survival of a variety of tumor subtypes. Identifying these essential genes would pave the way for developing therapeutics against specific molecular targets, and would highlight specific patient populations likely to respond to such targeted interventions. We are launching a new initiative to find vulnerabilities of cancers dependent on a well-credentialed therapeutic target for which no effective therapy exists, and to discover small molecules that may target these vulnerabilities.

As part of this effort, we are looking for a highly motivated and talented individual with a computational background to join the Cancer Data Science team. You will collaborate with scientists and engineers in a collegial work environment characterized by informality and intellectual rigor. By applying your computational and modeling skills to multimodal cancer data, you will drive the generation and testing of hypotheses leading to new biological insights.

CHARACTERISTIC DUTIES:

-You will 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; work with wet-lab researchers to translate these models into testable experiments; analyze data from experiments.

-Help implement analysis methodologies into software tools for publication and distribution to the cancer research community.

REQUIREMENTS:

-A Bachelor's degree in a quantitative discipline (such as computer science, bioinformatics, physics - or in biology with a strong quantitative background).

-Fast learner, analytical thinker, creative, "hands-on", team-player.

-Background in statistics and machine learning is preferred.

-Proficiency in at least one modern programming language. Experience with a scientific programming environment, such as R or Matlab, is preferred.

-Strong communication skills.

-Knowledge of cancer genomics 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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