Sr Computational Biologist (Clinical Biomarkers & Outcomes)

About the Job

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.

Key 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.

Qualifications:

Basic Qualifications:

• 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

Preferred Qualifications:

• 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

The expected salary range for this position based on the primary location of Boston, MA is $145,000 - $180,000 per year. The salary range is commensurate with FMI's compensation practice and considers factors including, but not limited to, education, training, experience, external market conditions, criticality of role, and internal equity. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for FMI benefits.

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About Foundation Medicine

We are a global, patient-focused precision medicine company delivering high-quality, transformative diagnostic solutions in cancer and other diseases.

Confidence, or the belief that we need to check every box before applying for a job, can sometimes hold us back from going after a role that inspires us. At Foundation Medicine there's no such thing as the 'perfect' applicant, and our company is a place where every employee can make an impact and continue to grow whatever background they may have or path they may have taken. So, as long as you meet the basic qualifications for a role, please apply if you see a position that would make you excited to work with us to transform precision medicine in cancer and beyond.

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