Overview Shirley Liu’s Laboratory at the Dana-Farber Cancer Institute and Harvard T.H. Chan School of Public Health in Boston is looking for several motivated Associate Computational Biologists to work full time on projects involving the organization and analysis of large-scale genomics data. The lab conducts research in the following areas: cancer epigenetics, cancer immunology, CRISPR screens, and single-cell analysis. Successful candidates will address methodological and computational challenges related to the integrative analyses of a variety of data types. Located in Boston and the surrounding communities, Dana-Farber Cancer Institute brings together world renowned clinicians, innovative researchers and dedicated professionals, allies in the common mission of conquering cancer, HIV/AIDS and related diseases. Combining extremely talented people with the best technologies in a genuinely positive environment, we provide compassionate and comprehensive care to patients of all ages; we conduct research that advances treatment; we educate tomorrow's physician/researchers; we reach out to underserved members of our community; and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. Responsibilities Draw upon knowledge of data science and biology to design and develop software, databases and interfaces for analyzing and manipulating biological data. Collaborate with laboratory researchers to develop high throughput data processing and analysis capabilities. Communicate results to immediate collaborators, as well as bioinformatic and clinical communities. Implement and document reliable and efficient software with well designed interfaces. Implement pipelines to automate tasks that reduce and consolidate output from software. Monitor and process new data from public databases. Maintain the computational infrastructure for large-scale studies. Implement web interfaces and APIs to facilitate end users’ needs. Qualifications Who Should Apply? BSc or MSc graduates in Computer Science, Informatics, Mathematics, Statistics, Physics, Engineering, Chemistry/Chemical Sciences or Biological Sciences with an interest in Biomedical Data Science. Students taking gap years (>= 2 years) to accumulate computational biology research experience towards future PhD or MD applications. People with programming skills along with an interest in cancer genomics and a willingness to learn. Additional Skills, Knowledge & Abilities Applicants must have an undergraduate or master's degree in a quantitative field. Applicants must have experience developing software projects using Python and analyzing data using R. Applicants with experience in web development or computational pipeline development in both cluster and cloud environments are preferred. Prior genomics or bioinformatics research experience is a plus but not required. Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other groups as protected by law.
