Senior Bioinformatics Scientist, Translational Bioinformatics

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Full Time Hayward, CA, US

Predicine is a precision oncology company advancing the fight against cancer through cutting-edge genomic technologies and liquid biopsy solutions. We partner with pharmaceutical companies, clinicians, and researchers worldwide to bring next-generation diagnostics from bench to bedside - faster, smarter, and more accessible. Join a team where your work directly impacts patient outcomes and the future of cancer care.

We are 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 - 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.

The Senior Bioinformatics Scientist, NGS and Liquid Biopsy will lead bioinformatics analysis in support of NGS-based liquid biopsy studies and translational bioinformatics programs. This role will analyze cfDNA/cfRNA, tumor tissue, RNA-seq, multi-omics, and clinical datasets to develop and refine biomarker testing strategies for cancer diagnosis and clinical applications. Serving as a client-facing scientific partner, the incumbent will represent the scientific team in technology meetings with pharmaceutical clients, KOLs, and client data scientists - translating client needs into analysis plans, interpreting results, and providing ongoing follow-up support with a client-success mindset.

The position will also develop and improve computational pipelines, statistical models, and machine-learning approaches for sequencing QC, variant analysis, and study-specific analyses, while coordinating internal and external collaborations, scientific presentations, publications, and mentoring across translational bioinformatics projects.

% of Time

Responsibility

35%
Bioinformatics Analysis Leadership - Lead bioinformatics analysis for NGS and liquid biopsy studies, including assay development, validation support, interpretation, and biomarker reporting.

25%
Multi-Omics Data Analysis - Analyze clinical, genomic, transcriptomic, proteomic, and other multi-omics datasets to identify biomarkers, targets, and tumor biology insights.

20%
Pipeline & Model Development - Develop and improve computational pipelines, statistical models, and machine-learning approaches for sequencing QC, variant analysis, annotation, and study-specific analyses.

15%
Client-Facing Scientific Partnership - Serve as a client-facing scientific partner in technology meetings, aligning scope, data interpretation, deliverables, and follow-up with clients and KOLs.

5%
Collaboration & Mentorship - Coordinate internal/external collaborations, scientific presentations, publications, and mentoring for translational bioinformatics projects.

Education

Minimum

Preferred

Level Master's degree with 5+ years of relevant experience Doctorate (PhD)

Field of Study Bioinformatics, Computational Biology, Biostatistics, Genomics, Molecular Biology, Cancer Biology, or related field Same fields

Experience

Minimum

Preferred

Work Experience 3+ years post-graduation with hands-on NGS analysis and client-facing collaboration experience Pharmaceutical industry experience; tumor research publications or experience

Required Skills & Qualifications

• 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

Preferred Skills & Qualifications

• Pharmaceutical industry experience
• Tumor research publications or hands-on tumor research experience