Dana-Farber Cancer Institute
Computational Biologist - Pediatric Oncology/Stegmaier Lab
Dana-Farber Cancer Institute, Boston, Massachusetts, us, 02298
The Stegmaier Lab in the Department of Pediatric Oncology at Dana-Farber Cancer Institute (DFCI) is seeking highly motivated applicants for a
COMPUTATIONAL BIOLOGIST
position. Our lab studies childhood cancer, particularly acute myeloid leukemia, sarcomas, and neuroblastoma. We aim to better understand tumor biology using cutting-edge experimental and computational approaches. A focus of our lab is the integration of functional genomic and chemical biology strategies to identify, validate, and mechanistically dissect new therapeutic targets in these childhood malignancies. Our ultimate goal is to translate robust findings to early phase clinical trials.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 strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds.
The computational biologist will lead the computational analysis and biological interpretation of novel datasets generated from different types of childhood cancers. The goal of these analyses is to identify tumor-specific gene dependencies and biomarkers of response and to understand their mechanistic role in pediatric cancer. The project provides ample opportunity to advance scientific skills and to collaborate with world-renowned experts in the fields of childhood cancer and data science. Candidates need to be passionate about cancer research and intrinsically motivated. Creativity and innovative/independent thinking are a must. A minimum two-year commitment is required, with appointment to commence in Summer/Fall of 2024.
Bachelor's degree required in a STEM field. Master’s or PhD degree preferred in bioinformatics, computational biology, statistics, biostatistics, or computer science.Solid understanding of Cancer Biology.Programming experience in at least one statistical computing software (e.g., R, Python, MATLAB).Experience in developing/applying methods to analyze and visualize new types of genomic data.Familiarity with high-performance computing environments.Ability to lead research projects working with postdocs and graduate students.Demonstrated ability to work collaboratively with scientists across disciplines.Good oral and written communication skills.Strong organizational skills, including the ability to handle a variety of tasks in a fast-paced environment.An outstanding academic track record.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. We are equally committed to diversifying our faculty and staff. 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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COMPUTATIONAL BIOLOGIST
position. Our lab studies childhood cancer, particularly acute myeloid leukemia, sarcomas, and neuroblastoma. We aim to better understand tumor biology using cutting-edge experimental and computational approaches. A focus of our lab is the integration of functional genomic and chemical biology strategies to identify, validate, and mechanistically dissect new therapeutic targets in these childhood malignancies. Our ultimate goal is to translate robust findings to early phase clinical trials.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 strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds.
The computational biologist will lead the computational analysis and biological interpretation of novel datasets generated from different types of childhood cancers. The goal of these analyses is to identify tumor-specific gene dependencies and biomarkers of response and to understand their mechanistic role in pediatric cancer. The project provides ample opportunity to advance scientific skills and to collaborate with world-renowned experts in the fields of childhood cancer and data science. Candidates need to be passionate about cancer research and intrinsically motivated. Creativity and innovative/independent thinking are a must. A minimum two-year commitment is required, with appointment to commence in Summer/Fall of 2024.
Bachelor's degree required in a STEM field. Master’s or PhD degree preferred in bioinformatics, computational biology, statistics, biostatistics, or computer science.Solid understanding of Cancer Biology.Programming experience in at least one statistical computing software (e.g., R, Python, MATLAB).Experience in developing/applying methods to analyze and visualize new types of genomic data.Familiarity with high-performance computing environments.Ability to lead research projects working with postdocs and graduate students.Demonstrated ability to work collaboratively with scientists across disciplines.Good oral and written communication skills.Strong organizational skills, including the ability to handle a variety of tasks in a fast-paced environment.An outstanding academic track record.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. We are equally committed to diversifying our faculty and staff. 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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