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Computational Biologist

Job Description

Job ID:
33593

Location:
450 Brookline Ave, Boston, MA 02215

Category:
Research Laboratory

Employment Type:
Full time

Work Location:
Onsite:Up to 1 day remote/wk

Overview

Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.

Responsibilities

  • Clinical sequencing to guide the care of cancer patients
  • Studies of cancer risk and heritability using patient-derived data
  • Studies of clinically derived samples for germline variation and clinical outcomes
  • Studies of machine learning approaches to assess performance for clinically focused analyses

Qualifications

  • A B.S. or M.S. in bioinformatics, mathematical, physical, or computer science, or comparable research experience, together with significant experience in computer programming and computational biological applications.
  • A strong background in statistics and biology. Experience managing and curating large datasets and with machine learning techniques desired.
  • Excellent oral and written communication skills and the ability to perform both self-directed and guided research are required.
  • Must demonstrate outstanding personal initiative and the ability to work effectively as part of a team.
  • Ability to meet deadlines and efficiently multitask is a must.
  • Excellent oral and written communication skills with the ability to effectively collaborate across a range of knowledge (e.g. effective communication with software developers and physicians).
  • Experience in R and/or Python is preferred, with willingness to learn new languages and tools as the field grows (e.g. Github, Docker, WDL, etc).

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.

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