Bioinformatics Scientist

About This Role

This role involves serving as a key technical contributor in the design, development, and implementation of bioinformatics pipelines and analytical methods to support MRD testing and other NGS assays. The ideal candidate will bring expertise in NGS data analysis, statistical modeling, and computational biology, translating complex genomic data analysis to production clinical pipelines. This professional will collaborate closely with wet lab scientists, clinical operations teams, R&D teams, and software engineers to ensure high-quality, accurate, reliable, and scalable solutions for patient testing and reporting.

Responsibilities

• Design, develop, and optimize bioinformatics pipelines for MRD test development and clinical deployment
• Analyze high throughput NGS data and drive performance and scientific insights to support research and development of on-market and upcoming products
• Collaborate with laboratory scientists, clinicians, and software engineers to validate and integrate bioinformatics solutions into clinical workflows
• Apply software engineering best practices, contributing to the scalability, robustness, and maintainability of bioinformatics pipelines
• Document and validate bioinformatics systems in compliance with regulatory and quality standards for clinical diagnostics
• Stay current with advancements in oncology genomics, liquid biopsy, and computational biology methods to inform innovation and future product enhancement
• Identify problems, investigate alternatives and recommend possible courses of action, contribute to technical decisions
• Prepare and present information at project meetings, scientific & technical meetings/conferences, and to customers

Requirements

• 5+ years of hands-on experience analyzing NGS data
• Proficiency in bioinformatics pipeline workflow management, particularly Nextflow (preferred), Cromwell, or CWL
• Expertise developing pipelines for cloud-based computational environments (AWS, or similar)
• Demonstrated ability to work with regulated clinical or diagnostic environments (e.g., CLIA, CAP, or FDA submissions)
• Strong programming skills in Python, R, or similar scripting/data analysis languages
• Strong logical reasoning skills, with desire to drive solutions for some of the most challenging problems in the field of oncology diagnostics
• Ph.D. in Bioinformatics, computational biology, genomics, or related fields; or M.S. with extensive industry experience

Nice to have:

• Experience within oncology diagnostics

Benefits

• Day 1 Medical, supplemental health, dental & vision for full-time employees who work 30+ hours
• Best-in-class well-being programs