Sr Computational Biologist (Clinical Biomarkers & Outcomes)

Sr Computational Biologist (Clinical Biomarkers & Outcomes)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 fieldProficiency with one or more of the following scientific computing languages: Python, R, Matlab, or JavaPreferred Qualifications:Practical graduate and post-doctoral experience exhibited by first-author publicationsSubject matter expertise in one of the following areas: cancer genomics, bioinformatics, biostatistics, or machine learningWorking knowledge of NGS technology, biomarker development, and real-world clinical outcomesWorking knowledge of clinical nomenclature including line of therapy, stage, ECOG, and the patient journey in oncologyExperience with computational technologies such as databases (SQL), cloud computing (AWS), and deep learning (AI)Experience managing collaborations with multiple stakeholdersExperience mentoring and developing junior scientistsTranslational research experience and ability to analyze and critically interpret scientific literatureUnderstanding of HIPAA and the importance of patient data privacyCommitment to reflect FMI's values: Integrity, Courage, and PassionThe 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.