Dana-Farber Cancer Institute
Postdoctoral Research Fellow - Computational Biologist
Dana-Farber Cancer Institute, Boston, Massachusetts, us, 02298
Overview
The Dana-Farber Cancer Institute seeks a POSTDOCTORAL COMPUTATIONAL BIOLOGIST FELLOW, under the Collins Genomics Lab, to lead pioneering studies of genetic risk for cancer based on large-scale genome sequencing datasets toward advancing clinical capabilities for early detection of cancer. The Collins Genomics Lab is an interdisciplinary and highly collaborative laboratory with diverse scientists from various scientific domains leading exciting cancer research. Located in Boston, 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 and to promote public health, particularly among high-risk and underserved populations. We conduct groundbreaking research, educate tomorrow's physician/researchers, and collaborate with partners including other Harvard Medical School-affiliated hospitals.
Responsibilities
Analyze large germline genomic datasets to discover new genetic risk factors for a variety of cancers, with a focus on early-onset and/or aggressive disease. Study the integration of germline and somatic genomics to define the influence of inherited genetics on tumor evolution. Develop and apply new computational methods to jointly analyze germline genetics with multi-modal datasets from clinically recruited cancer patient populations to improve interpretation of genomic variants for cancer risk, prevention, and early detection. Evaluate and integrate existing tools and databases into high-throughput pipelines; facilitate the display and distribution of processed data. Related projects and responsibilities include: Design and implementation of algorithms to analyze data and integrate with other datasets including clinical outcomes data. Generation of tools for manipulating and preparing data for display; transferring data to external collaborators and data repositories; and maintenance, support, and documentation of shared tools, code base, and data sets. The role may involve diverse opportunities as software infrastructure evolves, from advanced software design to richer involvement in bioinformatic and analytic predictive modeling. Qualifications
A Ph.D. in bioinformatics, genetics, statistics, computer science, or a comparably quantitative discipline (e.g., mathematics, physics), or comparable research experience, with significant experience in computer programming and computational biological applications. A strong background in statistics and biology; formal training and/or research in genomics is preferred. Experience managing and curating large datasets is desired. Excellent oral and written communication skills and the ability to perform both self-directed and guided research. Must demonstrate outstanding personal initiative and the ability to work effectively as part of a team. Ability to meet deadlines and multitask efficiently. Ability to collaborate across a range of individuals with varying comfort toward computational biology, including strong oral and written communication skills. Ability to seek mentorship and assistance as needed while also mentoring other members of the community. Knowledge, Skills, and Abilities
Cancer biology background Experience in R and/or Python is preferred Experience with Linux-based shell scripting and cloud computing Willingness to learn new languages and tools as the field grows Supervisory Responsibilities
This position will involve co-mentoring of students and other researchers, with opportunities for growth in developing multi-disciplinary, project-oriented teams. At Dana-Farber Cancer Institute, we work to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. We are committed to diversifying our faculty and staff and encourage qualified applicants 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 groups as protected by law.
#J-18808-Ljbffr
The Dana-Farber Cancer Institute seeks a POSTDOCTORAL COMPUTATIONAL BIOLOGIST FELLOW, under the Collins Genomics Lab, to lead pioneering studies of genetic risk for cancer based on large-scale genome sequencing datasets toward advancing clinical capabilities for early detection of cancer. The Collins Genomics Lab is an interdisciplinary and highly collaborative laboratory with diverse scientists from various scientific domains leading exciting cancer research. Located in Boston, 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 and to promote public health, particularly among high-risk and underserved populations. We conduct groundbreaking research, educate tomorrow's physician/researchers, and collaborate with partners including other Harvard Medical School-affiliated hospitals.
Responsibilities
Analyze large germline genomic datasets to discover new genetic risk factors for a variety of cancers, with a focus on early-onset and/or aggressive disease. Study the integration of germline and somatic genomics to define the influence of inherited genetics on tumor evolution. Develop and apply new computational methods to jointly analyze germline genetics with multi-modal datasets from clinically recruited cancer patient populations to improve interpretation of genomic variants for cancer risk, prevention, and early detection. Evaluate and integrate existing tools and databases into high-throughput pipelines; facilitate the display and distribution of processed data. Related projects and responsibilities include: Design and implementation of algorithms to analyze data and integrate with other datasets including clinical outcomes data. Generation of tools for manipulating and preparing data for display; transferring data to external collaborators and data repositories; and maintenance, support, and documentation of shared tools, code base, and data sets. The role may involve diverse opportunities as software infrastructure evolves, from advanced software design to richer involvement in bioinformatic and analytic predictive modeling. Qualifications
A Ph.D. in bioinformatics, genetics, statistics, computer science, or a comparably quantitative discipline (e.g., mathematics, physics), or comparable research experience, with significant experience in computer programming and computational biological applications. A strong background in statistics and biology; formal training and/or research in genomics is preferred. Experience managing and curating large datasets is desired. Excellent oral and written communication skills and the ability to perform both self-directed and guided research. Must demonstrate outstanding personal initiative and the ability to work effectively as part of a team. Ability to meet deadlines and multitask efficiently. Ability to collaborate across a range of individuals with varying comfort toward computational biology, including strong oral and written communication skills. Ability to seek mentorship and assistance as needed while also mentoring other members of the community. Knowledge, Skills, and Abilities
Cancer biology background Experience in R and/or Python is preferred Experience with Linux-based shell scripting and cloud computing Willingness to learn new languages and tools as the field grows Supervisory Responsibilities
This position will involve co-mentoring of students and other researchers, with opportunities for growth in developing multi-disciplinary, project-oriented teams. At Dana-Farber Cancer Institute, we work to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. We are committed to diversifying our faculty and staff and encourage qualified applicants 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 groups as protected by law.
#J-18808-Ljbffr