Senior Bioinformatics Scientist, Translational Bioinformatics

Predicine, Inc • Hayward, CA

1d • Onsite

About The Position

Predicine is seeking a highly motivated senior bioinformatics scientist to support NGS-based liquid biopsy studies and translational bioinformatics programs. The incumbent will analyze cfDNA/cfRNA, tissue, RNA-seq, multi-omics, and clinical data to develop biomarker testing strategies for cancer diagnosis and clinical applications. This is a client-facing scientist role where you'll represent the scientific team in technology meetings with pharmaceutical clients, KOLs, and client data scientists, translating client needs into analysis plans, result interpretation, and follow-up support with a client-success mindset. This is an exciting opportunity to join a fast-growing startup, accelerate your growth, and make a positive, immediate impact on cancer diagnosis and treatment.

Requirements

• Master's degree with 5+ years of relevant experience
• 3+ years post-graduation with hands-on NGS analysis and client-facing collaboration experience
• Strong R and/or Python programming skills; familiarity with Unix/Linux and reproducible workflows
• Hands-on NGS and liquid biopsy analysis experience, including cfDNA/cfRNA, tumor tissue, RNA-seq, or single-cell data
• Experience with variant analysis, CNV/fusion analysis, MSI/TMB, multi-omics integration, statistics, or machine learning
• Strong publication or meeting presentation record, with clear scientific writing skills
• Excellent client-facing communication with pharma clients, KOLs, client data scientists, and internal cross-functional teams

Nice To Haves

• Doctorate (PhD)
• Pharmaceutical industry experience
• Tumor research publications or hands-on tumor research experience

Responsibilities

• Lead bioinformatics analysis for NGS and liquid biopsy studies, including assay development, validation support, interpretation, and biomarker reporting.
• Analyze clinical, genomic, transcriptomic, proteomic, and other multi-omics datasets to identify biomarkers, targets, and tumor biology insights.
• Develop and improve computational pipelines, statistical models, and machine-learning approaches for sequencing QC, variant analysis, annotation, and study-specific analyses.
• Serve as a client-facing scientific partner in technology meetings, aligning scope, data interpretation, deliverables, and follow-up with clients and KOLs.
• Coordinate internal/external collaborations, scientific presentations, publications, and mentoring for translational bioinformatics projects.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior