Lead Computational Biologist
Lead Computational Biologist
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.
The Department of Data Sciences at Dana-Farber Cancer Institute seeks a Lead Computational Biologist, to develop and implement cutting-edge technologies for cancer genomics and coordinate scientific projects at the Center for Cancer Genome Discovery (CCGD) at the Dana-Farber Cancer Institute. The primary mission of the CCGD is to facilitate genomic discoveries in human cancer samples through basic and translational cancer research using cutting-edge technologies. The CCGD has established platform groups to assist researchers in both genome-wide and gene-focused efforts using Illumina next generation sequencing. We strive to be at the forefront of cancer characterization, development and utilization of novel technologies, and adapting existing technologies for the advancement of cancer research. Technologies are selected and developed with a view to research-oriented ventures, as well as translational medicine and clinical relevance.
This exceptional opportunity offers the chance to work at the forefront of mutation discovery and translational cancer technologies and applications. The Lead Computational Biologist will oversee activities within CCGD informatics and manage technology development.
The primary responsibility of this role will be to lead the development and validation of multi-omic analytical methodologies for both cutting-edge research and clinical applications (such as development of analyses for liquid biopsies and structural variant detection). Working with scientific and clinical colleagues, the capabilities developed will be applied to precision cancer medicine efforts at our institutions. To make significant contributions to the research and clinical efforts described above, the candidate will have the ability to quickly arrive at innovative and effective solutions both as part of a team and independently.
- Project planning and supervision of team members.
- Work closely with and understand various disciplines such as scientists, molecular biologists, clinicians, pathologists and oncologists to interpret requirements and needs for novel analyses.
- Develop and test new computational and bioinformatic tools for genomic analysis on patient samples; monitor and evaluate emerging analytical tools, and improve and/or develop existing or new methodologies for analyses of cancer specimens
- Process, analyze, and interpret experimental and clinical datasets derived from research and validation studies.
- Understand, document, and present scientific and technical validation data to colleagues including good coding practices (code review) and explicit documentation of developed software.
- Work independently on multiple ongoing projects with the flexibility to rapidly adjust to new priorities.
- Cross-training bioinformatic colleagues on newly developed tools.
- PhD (or equivalent) in computational biology, bioinformatics, or related fields.
- 5+ years relevant experience in cancer genomics.
- Strong project management and supervisory skills, with the demonstrated ability to develop and manage complex projects in a matrixed environment.
- Familiarity with principles of experimental design and modern data analysis paradigms.
- Deep understanding of genomics and molecular biology (cancer genomics and massively parallel sequencing a plus).
- Strong communication skills and ability to effectively translate informatics concepts to multidisciplinary (non-informatics) personnel.
- Strong proficiency with programming languages such as Python or Java, C/C++, statistical programming using R or related tools and queries through SQL required. Experience with web-development desirable.
- Demonstrated ability to develop algorithms for analysis of biological data derived from complex, large datasets (such as massively parallel sequencing); experience developing analysis schemes for RNA-Seq, circulating tumor DNA (cell-free DNA and circulating tumor cells) and/or long-read sequencing is desirable.
- Strong interpersonal skills and ability to effectively interact with all levels of staff and external contacts.
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.
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