Sr Computational Biologist

Foundation Medicine

22h•Onsite

About The Position

The Sr Computational Biologist position sits within the Computational Discovery team and is responsible for building advanced algorithms and technical features that will drive R&D’s innovation roadmap. This role leverages multi-modal data, including large scale genomics, real-world clinical outcomes, and imaging datasets, to identify and establish feasibility of novel biomarkers and therapeutic targets. The Sr Computational Biologist contributes as a subject matter expert in cross-functional initiatives to identify opportunities for growth and innovation that can advance FMI’s assay and data product capabilities. This position requires a deep understanding of cancer biology and bioinformatics, as well as the ability to communicate complex findings to internal and external stakeholders.

Requirements

PhD in a life science or mathematical field with a clinical focus and 4+ years of industry or post-doctorate experience within Cancer Biology, Bioinformatics, Biochemistry, or another related life science; OR Master’s degree in a life science or mathematical field with clinical focus and 6+ years of industry experience within Cancer Biology, Bioinformatics, Biochemistry, or another related field
Proficiency with one or more of the following scientific computing languages: Python, R, Matlab, or Java

Nice To Haves

Practical graduate and post-doctoral experience exhibited by first-author publications
Subject matter expertise in one of the following areas: cancer genomics, bioinformatics, biostatistics, or machine learning
Working knowledge of NGS technology, biomarker development, and real-world clinical outcomes
Working knowledge of clinical nomenclature including line of therapy, stage, ECOG, and the patient journey in oncology
Experience with computational technologies such as databases (SQL), cloud computing (AWS), and deep learning (AI)
Experience managing collaborations with multiple stakeholders
Experience mentoring and developing junior scientists
Translational research experience and ability to analyze and critically interpret scientific literature
Understanding of HIPAA and the importance of patient data privacy
Commitment to reflect FMI’s values: Integrity, Courage, and Passion

Responsibilities

Utilize statistical expertise to explore multimodal data and lead scientific investigations into mechanisms of oncogenesis, prognostic and predictive biomarkers, drug resistance, and disease monitoring.
Manage and/or support code bases/repositories and dataset versioning and quality control.
Represent Computational Discovery to cross-functional departments and leadership teams to refine product strategy.
Collaborate with clinical partners in translational research projects that result in abstracts and publications.
Communicate results to both technical and non-technical stakeholders.
Other duties as assigned.