Assoc. Computational Biologist I and II

The comprehensive analysis of cancer genomes is nearly complete, but major barriers exist in converting this information into patient benefit. Now, a critical goal in cancer research is to predict essential genes/proteins across a diversity of tumor subtypes. Such a capability would allow for the elucidation of the molecular targets against which therapeutics should be developed, and the identification of specific patient populations likely to respond to such targeted interventions. We are launching a new initiative to identify vulnerabilities of cancers dependent on a well credentialed therapeutic target in oncology for which no effective therapies exist, and to discover small molecules that could target these vulnerabilities. As part of this effort, we are looking for a highly motivated and talented individual with computational background to join the Cancer Program 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. 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 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 (advanced degree preferred) 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. ●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 statistics, machine learning or biology is a plus. ●Knowledge of cancer genomics is a plus but is NOT required. Inclination to acquire such knowledge is. EOE/Minorities/Females/Protected Veterans/Disabilities