Principal Scientist, Computational Biology
Boston, MA, United States
About the Job
The Principal Scientist, Computational Biology leads the development and deployment of computational methods for NGS-based clinical diagnostic assays in our clinical labs. Working as part of a large multidisciplinary team, this role distills the latest advances in computational methods, genomics, and oncology to develop innovative, best-in-class clinical diagnostic tools. The successful candidate will have a deep understanding of genomics, cancer biology, and computational biology, and will have a track record of working on cross-functional teams to deliver on complex projects.
Key Responsibilities
Develop computational methodology and perform critical analyses to support development of new products and improvements to existing products, both as an individual contributor and/or as a team leader.
Collaborate with cross-functional teams including members from assay development, software engineering, marketing, quality, regulatory, and others to execute complex product development projects.
Work closely with bench scientists to develop and optimize new wet-lab protocols in concert with computational biology development efforts.
Analyze large genomic and epigenomic datasets using cutting-edge computational biology methods to identify genomic alterations and biomarkers associated with cancer onset and progression and to craft novel tools to detect those patterns.
Communicate scientific findings and project progress to project teams and senior leadership.
Guide, coach, direct, develop, and hire direct reports, if applicable.
Other duties as assigned.
Qualifications:
Basic Qualifications:
PhD in a life science or computational discipline.
5+ years of postdoctoral research or professional experience related to NGS or cancer diagnostics.
Preferred Qualifications:
Proficiency with Python or a closely related programming language.
Life sciences industry experience in genomics, molecular insights, and/or diagnostics including regulated diagnostics development
Experience with cancer biology, cell biology, genetics, epigenetics or molecular biology, esp. working with large biological data sets to address focused biological questions in oncology
Experience developing algorithms and tools for analysis of large data sets, including prior experience with genomic and NGS data
Advanced software development skills (including substantial experience with Python, Java, R, and/or C++) as well as experience with computational technologies such as databases (SQL) and cloud computing (esp. AWS)
Sound knowledge of current bioinformatics trends, available genomic and epigenetic bioinformatic tools and databases
Ability to adapt to changing procedures, policies, and work environment
Excellent organization skills with a demonstrated attention to detail
Excellent written and verbal communication skills
Understanding of HIPAA and importance of privacy of patient data
Commitment to reflect FMI’s values: Passion, Patients, Innovation, and Collaboration
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