Careers

Bioinformatics Scientist

Location: United States

Employment Type: Full-Time

Role Overview

The Bioinformatics Scientist leads scientific model definition, feature selection, biological validation, and interpretability for a regulated diagnostics platform. This role is responsible for defining what the models do from a scientific and biological perspective, while engineering teams determine how those models are implemented and run in production. The position works closely with machine learning engineering and cross-functional teams to ensure scientific rigor, clinical relevance, and translational readiness.

Key Responsibilities

Develop and validate biological and statistical models supporting diagnostic and prognostic use cases.
Define feature sets, biomarkers, and scientific logic grounded in biological relevance.
Interpret model outputs and benchmark results against clinical outcomes and datasets.
Support expansion of models across multiple cancer types and indications.
Collaborate with machine learning engineers to translate scientific models into production-ready systems.
Contribute to scientific documentation, validation materials, and interpretability narratives.
Participate in data review, model refinement, and performance assessment discussions.

Required Qualifications

Advanced experience in bioinformatics, computational biology, or related scientific fields.
Strong background in biological data analysis and statistical modeling.
Experience working with genomic, transcriptomic, proteomic, or related biological datasets.
Ability to interpret and communicate scientific results clearly to technical and non-technical stakeholders.
Experience collaborating with engineering teams on applied model development.
Strong analytical skills and attention to scientific rigor and reproducibility.