Dana-Farber Cancer Institute
Postdoctoral Research Fellow - Computational Biologist
Dana-Farber Cancer Institute, Boston, Massachusetts, us, 02298
Postdoctoral Research Fellow - Computational Biologist
Dana‑Farber Cancer Institute seeks a Postdoctoral Research Fellow Computational Biologist in the Gillani Lab in Computational Pediatric Cancer Research. The Postdoctoral Computational Biologist will work on the analysis of genomic, transcriptomic, and epigenomic datasets with the goal of arriving at new insights around targetable biology and clinical biomarkers to advance the care of pediatric cancer patients.
The mission of the Gillani Lab is to advance pediatric, adolescent, and young adult cancer care using cutting‑edge computational biology approaches. We strive to understand the germline genetics and tumor genomics of pediatric cancer to inform novel approaches to treatment. We value great science that matters to patients, caring about each other as people and colleagues, and fostering an environment of mutual respect and collaboration.
Responsibilities
Whole‑genome sequencing and single‑cell sequencing analysis of tumor samples.
Studies of resistance to existing and emerging cancer therapies using patient‑derived data.
Studies of patient samples for tumor behavior and clinical outcomes.
Development and implementation of artificial intelligence and machine learning algorithms for biologically and clinically motivated questions in pediatric oncology.
Design and lead projects grounded in data analysis in the domain of computational pediatric cancer research.
Develop and support data processing and analysis tools, create new algorithms for bulk and single‑cell tumor analysis, integrate tools and databases into existing high‑throughput pipelines, and drive projects to completion and publication.
Generate tools needed for manipulating and preparing data for display; transfer data to external collaborators and repositories; maintain, support, and document shared tools, code, and data sets.
Collaborate with the Dana‑Farber Cancer Institute, the Broad Institute, Boston Children’s Hospital, Harvard Medical School, and other institutions to identify novel approaches for personalized care in oncology.
Qualifications
Ph.D. in genetics, computational biology, statistics, computer science, biomedical engineering, mathematics, or related disciplines, or comparable research experience (M.D. with commensurate experience also encouraged).
Significant research experience in computational biology with proficiency in R and/or Python, and experience with cloud computing.
Strong background in statistics and biology.
Experience managing and curating large datasets.
Excellent oral and written communication skills and the ability to perform self‑directed and guided research.
Outstanding personal initiative and the ability to work effectively as part of a team.
Ability to meet deadlines and efficiently multitask.
Ability to collaborate across a range of disciplines, from computer science to clinical medicine.
Willingness to learn new languages and tools as the field evolves, with an interest in cancer biology/medicine broadly.
Supervisory Responsibilities This position will involve co‑mentoring of students joining the group and developing multi‑disciplinary, project‑oriented teams.
Mentor students and junior researchers.
Seek and provide mentorship as needed.
Pay Transparency Statement We determine salary based on market pay structures and the candidate’s relevant experience, skills, and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement. The non‑union range for this role is $72,000 – $76,385.
Equal Opportunity 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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The mission of the Gillani Lab is to advance pediatric, adolescent, and young adult cancer care using cutting‑edge computational biology approaches. We strive to understand the germline genetics and tumor genomics of pediatric cancer to inform novel approaches to treatment. We value great science that matters to patients, caring about each other as people and colleagues, and fostering an environment of mutual respect and collaboration.
Responsibilities
Whole‑genome sequencing and single‑cell sequencing analysis of tumor samples.
Studies of resistance to existing and emerging cancer therapies using patient‑derived data.
Studies of patient samples for tumor behavior and clinical outcomes.
Development and implementation of artificial intelligence and machine learning algorithms for biologically and clinically motivated questions in pediatric oncology.
Design and lead projects grounded in data analysis in the domain of computational pediatric cancer research.
Develop and support data processing and analysis tools, create new algorithms for bulk and single‑cell tumor analysis, integrate tools and databases into existing high‑throughput pipelines, and drive projects to completion and publication.
Generate tools needed for manipulating and preparing data for display; transfer data to external collaborators and repositories; maintain, support, and document shared tools, code, and data sets.
Collaborate with the Dana‑Farber Cancer Institute, the Broad Institute, Boston Children’s Hospital, Harvard Medical School, and other institutions to identify novel approaches for personalized care in oncology.
Qualifications
Ph.D. in genetics, computational biology, statistics, computer science, biomedical engineering, mathematics, or related disciplines, or comparable research experience (M.D. with commensurate experience also encouraged).
Significant research experience in computational biology with proficiency in R and/or Python, and experience with cloud computing.
Strong background in statistics and biology.
Experience managing and curating large datasets.
Excellent oral and written communication skills and the ability to perform self‑directed and guided research.
Outstanding personal initiative and the ability to work effectively as part of a team.
Ability to meet deadlines and efficiently multitask.
Ability to collaborate across a range of disciplines, from computer science to clinical medicine.
Willingness to learn new languages and tools as the field evolves, with an interest in cancer biology/medicine broadly.
Supervisory Responsibilities This position will involve co‑mentoring of students joining the group and developing multi‑disciplinary, project‑oriented teams.
Mentor students and junior researchers.
Seek and provide mentorship as needed.
Pay Transparency Statement We determine salary based on market pay structures and the candidate’s relevant experience, skills, and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement. The non‑union range for this role is $72,000 – $76,385.
Equal Opportunity 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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