Lead Bioinformatics Scientist (Oncology)
Core
Lead the analytical validation strategy, design feasibility studies, and generate real-world evidence for NGS-based oncology assays to support clinical utility and regulatory submissions.
Role type
Senior IC bioinformatics scientist (oncology)
Builds
NGS-based assays for oncology therapy selection and patient management
Domain
Healthcare + Genomics
Deliverable
production ML models
Required skills
NGS data analysis, variant calling (SNVs, indels, CNVs, fusions), Python, R, shell scripting, assay performance evaluation, statistical methods for validation
Preferred skills
CLIA/CAP or FDA submission experience, clinical genomics knowledge, translational data analysis
Technologies
NGS, WES, WGS, targeted sequencing, cfDNA
Responsibilities
Lead analytical validation strategy for NGS assays, drive real-world evidence studies, build rapid prototypes and pipelines, develop algorithms for new products, act as internal technical consultant, contribute to regulatory submissions and publications
Seniority
Senior, hands-on IC
