Senior Bioinformatics Scientist, Translational Bioinformatics Predicine, Inc - 2.7 Hayward, CA Job Details Full-time 18 hours ago Qualifications Technical writing for researchers Next generation sequencing Presentations for conferences or internal meetings UNIX Scientific research papers Master's degree Cross-functional collaboration Cross-functional communication

Full Job Description Location:

Hayward, CA Work Arrangement:

TBD Department:

Translational Bioinformatics (NGS/Liquid Biopsy)

Employment Type:

Full-Time About Predicine 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. Job Summary 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. What You'll Do 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. Key Responsibilities & Time Allocation % 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. What You Bring 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 Join Us At Predicine, you won't just analyze data — you'll help translate cutting-edge genomic science into real diagnostic tools that change how cancer is detected and treated. If you're a scientist who thrives at the intersection of deep technical analysis and client partnership, we want to hear from you. Apply today and help us turn breakthrough science into better patient outcomes. Predicine is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.