Scientific Data Engineer

Dr. Jarrod Marto and Dr. Sara Buhrlage of the Dana-Farber Cancer Institute and Harvard Medical School are recruiting a creative and highly motivated Scientific Data Engineer to join the newly formed Center for Emergent Drug Targets. The goal of this program is to provide tools and reagents to support early-stage drug discovery against frontier targets as well as develop new small molecules with novel mechanism-of-action. The successful applicant will work with a small team at the interface of chemical proteomics, functional pathway analysis, structural biology, and ligand design. They will collaborate with chemical biologists, synthetic chemists, and cheminformatics scientists to design and implement computational tools, data analytic pipelines, and integrated workflows to support structure-guided design and characterization of new small molecules. This is a full-time position with flexibility for a portion of remote work. Candidates for this position will have ample opportunity to contribute to scientific publications as well as significant collaborations with industry and academic partners.

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 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.

• Qualifications:

  • S. or M.S. degree in Bioinformatics, Computer Science, or Ph.D. in systems/chemical biology with significant focus on bioinformatics. Suitably qualified candidates from related scientific fields also considered.
  • Ability to plan, develop, and test software tools independently and within a small team
  • Strong multi-tasking capabilities
  • Desire to work in a fast-paced, multi-disciplinary research environment
  • Desire to interact with researchers having diverse skills

  Preferred Knowledge, Skills & Abilities:

  • Experience developing well-documented code in C#, R, or Python
  • Experience in the analysis of high-throughput molecular data in general, and mass spectrometry-based proteomic data in particular. Experience working with proteomic data from the Bruker timsTOF platform a plus.
  • Knowledgeable in modern mass spectrometry proteomic acquisition methods
  • Knowledgeable in structural biology (PyMOL, alphafold) and chemical (DataWarrior, CCD Vault) databases and software tools
  • Familiarity with common software development and deployment tools such as VCS (e.g., git, hg), Docker, and package managers (e.g., pip, Anaconda)
  • Ability to work in SQL and NoSQL data stores
  • Basic knowledge of statistics

  Interested candidates should submit electronic copy of their curriculum vitae, a cover letter describing their qualifications, relevant experience, career goals, and a sample of past programming work.

At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong.  As relentless as we are in our mission to reduce the burden of cancer for all, we are equally committed to diversifying our faculty and staff.  Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply.

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.