Job ID:

20 Overland Street, Boston, MA 02215


Employment Type:
Full time

Work Location:
Hybrid: 2-3 days onsite/week


Bioinformatics and Molecular Data team is a growing group at the Informatics and Analytics Department (I&A) of Dana-Farber Cancer Institute (DFCI).  The team addresses unmet needs for bioinformatics, data management, data mining and analysis across research, clinical, and operational units. It accelerates use of bioinformatics and data science methods, data, and tools within DFCI, bridging the gap between research and clinical practice and helping design and implement operational solutions. The group encompasses expertise in bioinformatics, data science, machine learning, and software engineering. It works with some of the most prominent research and clinical DFCI programs, from basic research to translational research, to clinical diagnostics and operations.

We look for an intelligent, hard-working, and dynamic individual to fill the role of Bioinformatics Scientist in the team. The successful candidate will support key initiatives relying on genomic data, have the ability to lead projects and potentially, in the future, may lead other people within the team. Specifically the role will work on an exciting new initiative to develop a cloud-based bioinformatics analysis platform. The platform will enable DFCI researchers to easily manage and analyze their genomic and biomedical data in the cloud environment, build and run analysis workflows and visualize the results.

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.


The successful candidate will have proven experience in managing and independently executing complex bioinformatics tasks in the frame of Bioinformatics Workbench project. The role’s responsibilities will include:

  • Owning and leading various projects, serving as a subject matter expert.
  • Developing and implementing bioinformatics tools and pipelines in cloud environment.
  • Collaborating with DFCI software engineering and data science teams as well as interacting with external cloud and other technology vendors.
  • Meeting, consulting, and providing computational and informatics support to various DFCI scientists and independent faculty members in designing and executing key biomedical projects.
  • Collecting, analyzing, interpreting, and integrating complex biomedical data.
  • Delivering results for projects and generating relevant reports.
  • Working as a part of the broader team to identify and implement longer-term solutions that will improve quality, speed and efficacy of our current projects and programs through evaluating and benchmarking new software tools and pipeline development.
  • Contributing expertise to DFCI software code base and communities of practice.


Minimum Education:
Bachelor’s degree required in a STEM field.  Master’s degree or PhD strongly preferred in bioinformatics, medical informatics, computational biology, statistics, computer science/engineering, or a related quantitative field.

Minimum Education:
3 Years of experience required; Master’s degree with 1 year experience required; PhD with 0 years.

  • Deep bioinformatics skills at the interface between bioinformatics programming and understanding of biological and clinical problems.
  • Experience in analysis of the next generation sequencing data, e.g. WXS/WGS, RNA-Seq, etc; experience in single-cell and/or ctDNA data analysis is a plus.
  • Working knowledge of IA and machine learning approaches used in bioinformatics research
  • Experience in one or more areas of cancer research, including solid tumors, hematologic malignancies, patient-derived cancer models, biomarker discovery, etc. is a major plus.
  • Excellent communication and effective problem-solving skills, track record in serving a variety of diverse customers and projects.
  • Proven ability to work independently, prioritize, and manage people if needed, within an environment with evolving priorities.

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 characteristics protected by law.

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