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4 computational biologist jobs found in Boston, MA

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computational biologist Boston, MA
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Dana-Farber Cancer Institute
Dec 06, 2025
Full Time
Associate Computational Biologist
Dana-Farber Cancer Institute Boston, MA, USA
Job Ref:47421 Location:450 Brookline Ave, Boston, MA 02215 Category:Research Laboratory Employment Type:Full time Work Location:Onsite: 4-5 days onsite/week Overview A computationally-oriented team led by Rameen Beroukhim and Simona Dalin at the Dana-Farber Cancer Institute and Broad Institute seeks an associate computational biologist to join in efforts to develop and apply cutting-edge genomic algorithms and analyses to characterize genomic rearrangements in cancers and normal tissues, and better understand how errors in double strand break (DSB) repair result in these rearrangements. This individual will contribute to a lively team and wider community of laboratory scientists, computational biologists, cancer geneticists, and software engineers dedicated to discovering and understanding the alterations in the cancer genome and discovering cancer vulnerabilities that could lead to new therapeutics. We are looking for a person who wants to...
Education
Dana-Farber Cancer Institute
Oct 23, 2025
Full Time
Associate Computational Biologist
Dana-Farber Cancer Institute Boston, MA, USA
Job Ref:46738 Location:450 Brookline Ave, Boston, MA 02215 Category:Research Laboratory Employment Type:Full time Work Location:Onsite: 100% onsite Overview The laboratory of Zuzana Tothova, MD, PhD is a multi-disciplinary team of physician scientists, scientists and computational biologists at the Dana-Farber Cancer Institute and the Broad Institute. Our laboratory uses genomics and a range of molecular and cellular biological techniques to elucidate the molecular basis of cancer and hematologic disorders and to develop novel therapeutics. Our specific focus is to understand the role of chromatin modifiers and epigenetic factors and find novel therapeutic opportunities in myeloid malignancies, including myelodysplastic syndromes and acute myeloid leukemia. JOB TITLE: Associate computational biologist FLSA: Full-time, on-site REPORTS TO: Zuzana Tothova, M.D., Ph.D. DEPT: Medicine Oncology/ Heme Neoplasia General Summary A...
Education
Dana-Farber Cancer Institute
Dec 11, 2025
Full Time
Lab Manager
Dana-Farber Cancer Institute Boston, MA, USA
Job Ref:45918 Location:450 Brookline Ave, Boston, MA 02215 Category:Research Laboratory Employment Type:Full time Work Location:Onsite: 100% onsite Overview The role of the Laboratory Manager is to both assist with ongoing experiments of Dr. Beltran and other members of the Beltran Lab and manage the lab's daily operations. The Laboratory Manager is expected to maintain a high level of organization and accountability in this highly visible role. This position will ensure compliance with all regulatory requirements; review laboratory protocols of all research groups (internal and external); maintain laboratory spaces and equipment; and act as a liaison between staff and key stakeholders. Additionally, the Specialist will have the opportunity to learn and utilize a variety of research techniques and be able to co-author publications when appropriate.  The Beltran Lab primarily focuse s on understanding mechanisms of treatment resistance in...
Laboratory
Dana-Farber Cancer Institute
Nov 22, 2025
Full Time
Bioinformatics Analyst
Dana-Farber Cancer Institute Boston, MA, USA
Job Ref:46921 Location:450 Brookline Ave, Boston, MA 02215 Category:IT/Informatics Employment Type:Full time Work Location:Onsite: 4-5 days onsite/week Overview A computationally-oriented team led by Rameen Beroukhim and Simona Dalin at the Dana-Farber Cancer Institute and Broad Institute seeks a computational associate to join in efforts to develop and apply cutting-edge genomic technologies to characterize genomic rearrangements in cancers and normal tissues, and better understand how errors in double strand break (DSB) repair result in these rearrangements. Projects include 1) identifying sequence features that influence the formation of genomic rearrangements based on data from thousands of tumors and matched normal samples, 2) applying sophisticated statistical approaches to determine relationships between the presense of specific rearrangements and genetic/pharmacologic vulnerabilities in cancer cell lines, and 3) developing new analysis...
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