About the Job

The Scientist I, Computational Discovery contributes to the early innovation of novel bioinformatics methods and genomic signatures in oncology. Leveraging Foundation Medicine’s FoundationCORE dataset of 800,000+ samples and the Flatiron Health-Foundation Medicine joint Clinico-Genomic Database of 100,000+ samples with annotated clinical outcomes, this role explores novel patterns in cancer biology. The position plays a key role in conducting original research, generating insights, and preparing high-impact scientific abstracts, presentations, and peer-reviewed manuscripts. The work drives foundational understanding that supports clinical diagnostics and translational research in oncology.

In addition to research, this role develops sub-specialization in the data architecture supporting the team’s efforts, including pipeline workflow development, cloud-based data storage, and maintaining data quality and integrity. The ideal candidate will thrive at the intersection of cancer biology, computational science, and data infrastructure.

Key Responsibilities

• Develop and evaluate potential signatures and biomarkers using large-scale datasets; investigate genomic mechanisms underlying oncogenesis.
• Apply statistical analyses, analyze genomic data via HPC clusters, and improve assay performance.
• Organize, visualize, and interpret data in a high-throughput, data-intensive environment.
• Collaborate with internal cross-functional teams — including R&D, Medical, Commercial, Biopharma, and Regulatory — and engage with external collaborators to support enterprise goals.
• Work closely with molecular biologists, computational scientists, and regulatory teams to inform the feasibility and planning of translational next-generation sequencing (NGS) assays.
• Maintain awareness of current bioinformatics methods and diagnostic oncology literature.
• Prepare and present results in internal meetings and contribute to scientific literature.
• Design and refine bioinformatics algorithms, workflows, and analysis pipelines; manage cloud-based data infrastructure and ensure data quality.
• Build, maintain, and enhance internal data workflows and computational pipelines; implement and uphold best practices in data architecture and cloud-based data systems
• Other duties as assigned.

Qualifications:

Basic Qualifications:

• Bachelor’s degree in related field and 3+ years of research experience preferred in the life sciences industry; OR,
• Master’s and 2+ research experience preferred in the life sciences industry; OR,
• PhD and no experience

Preferred Qualifications:

• 1+ years of industry or post-doctoral research experience in cancer biology, bioinformatics, or a related field using NGS data
• Proficiency in Unix or Unix-like operating systems; proficiency in one or more programming languages such as Python, R, SQL, or similar scientific computing languages; familiarity with other programming or scripting languages
• Familiarity with cloud computing platforms (e.g. AWS)
• Experience using version control tools (e.g. Git)
• Experience working with public datasets (e.g., TCGA, cBioPortal, Genomic Data Commons)
• Competence in basic statistical methods and applications in bioinformatics
• Fundamental understanding of molecular biology and NGS principles (e.g., DNA-seq, library prep, target enrichment)
• Effective collaboration and communication skills, including scientific writing and presenting data to multidisciplinary teams
• Understanding of HIPAA and the importance of patient data privacy
• Commitment to reflect FMI's values of passion, patients, innovation, and collaboration

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