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20 Jun
Lead Computational Biologist, Immuno-Oncology
Massachusetts, Boston

Vacancy expired!

Overview


The Center for Immuno-Oncology (CIO) at the Dana-Farber Cancer Institute is a multi-disciplinary group dedicated to the discovery, development, and first-in-human clinical trials of novel immunotherapies. The CIO utilizes cutting-edge technologies such as high-throughput RNA and DNA sequencing, mass cytometry, multiplexed imaging, and advanced bioinformatics methodologies and analysis.


The CIO Computational Biology Group is currently seeking a Lead Computational Biologist, Immuno-Oncology.


In this exciting role as part of the Center of Immuno-Oncology and the Department of Data Sciences at DFCI, the Computational Biologist will develop and apply novel bioinformatics, statistical, modeling, and machine learning methods, analysis strategies, and tools to multi-dimensional multi-omics datasets from immuno-oncology clinical trials and discovery research.


The CIO Computational Biology Group works as an integrated part of the Center for Immuno-Oncology and collaborates with leading computational groups here at DFCI, including the cBio Center and the Xiaole Shirley Liu Lab on the NIH-funded CIMAC and CIDC consortium.


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



  • Correlative analysis of clinical outcomes, phenotypes, and immune readouts with diverse high dimensional multi-omics data (NGS, immuno-genomics, multiplexed imaging) to identify biomarkers and mechanistic hypotheses about response and resistance to cancer vaccines and other therapies.

  • Develop innovative and robust, analysis pipelines and visualization that can be applied in research and clinical settings.

  • Identify, develop, manage and contribute to collaborations and partnerships.

  • Working closely with clinicians and lab scientists to provide guidance on experimental design and data interpretation.

  • Communicate new findings in a translational research environment strongly focused on immunotherapies to improve patient care.


Qualifications



  • PhD level candidate preferred.

  • Applied experience in oncology and/or immunology highly preferred.

  • Excellent verbal/written communication skills and willingness to collaborate cross-departmentally required.

  • Full-stack development skill would be a significant plus.

  • Experiences with CyTOF, IHC, and/or multiplexed image analysis would be a significant plus.

  • Record of academic publications or contributions to open-source software is highly encouraged.


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.

Vacancy expired!


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