Provide bioinformatics leadership for MRD assay design, development, and optimization across one or more LDT programs, ensuring alignment with scientific, clinical, and business objectives.
Serve as a senior scientific contributor and reviewer for assay concepts, signal detection strategies, error suppression approaches, and MRD calling methodologies.
Apply deep expertise in cancer genomics, ctDNA biology, and NGS technologies to guide assay architecture and analytical decision‑making.
Lead and/or oversee analytical study design and data analysis for assay development and validation, including accuracy, limit of detection, precision, and robustness.
Guide development, validation, and maintenance of scalable, production‑ready bioinformatics pipelines supporting MRD analysis, QC, and reporting.
Review and approve analytical approaches, benchmarking studies, and optimization strategies, ensuring scientific rigor and regulatory readiness.
Ensure compliance with standards (CAP/CLIA, FDA, IVDR) throughout the bioinformatics development lifecycle, including rigorous testing and documentation.
Provide day‑to‑day scientific mentorship and technical guidance to bioinformatics scientists and senior scientists.
Support career development of team members through coaching, technical review, and knowledge sharing.
Communicate complex analytical concepts clearly to stakeholders at varying levels of technical depth, including senior leadership.

Requirements

Ph.D. in Bioinformatics, Computational Biology, Genomics, Biostatistics, or a closely related quantitative field.
Minimum 8 years of total relevant experience, with at least 5 years of management experience in biotech, diagnostics, or regulated healthcare environments.
Demonstrated experience leading NGS‑based assay development for clinical diagnostics. Hands‑on experience with ctDNA‑based MRD assays, including personalized or tumor‑informed approaches.
Strong programming skills in Python, with experience developing and benchmarking reproducible, production‑grade analysis pipelines, including experience with SDLC best practices.
Proven experience working in design‑controlled, regulated environments (CAP/CLIA LDT, IVD, or equivalent) is a must.
Track record of working with wet lab scientists on iterative experiment design, execution, analysis, and interpretation as a tightly integrated team.
Demonstrated record of technical and scientific leadership, ownership, and independent work.

Benefits

Health insurance
Competitive compensation
Professional development opportunities
Flexible work arrangements
Inclusion in a diverse workforce

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

bioinformaticsassay designcancer genomicsctDNA biologyNGS technologiesanalytical study designdata analysisprogramming in Pythonproduction-grade analysis pipelinesSDLC best practices

Soft Skills

scientific leadershipmentorshiptechnical guidancecommunicationcoachingknowledge sharingteam collaborationindependent workownershipstakeholder engagement

Certifications

Ph.D. in BioinformaticsPh.D. in Computational BiologyPh.D. in GenomicsPh.D. in Biostatistics