Staff Machine Learning and Bioinformatics Scientist (Multi-Cancer Early Detection)

Location: San Carlos, California, United States

Salary: $169,800–$212,300 USD per year, plus additional compensation and benefits.

Company

hirify.global develops cell-free DNA testing and personalized genetic diagnostics for oncology, women’s health, and organ health.

What you will do

• Lead novel statistical and machine learning methods for cancer signal detection using multi-modal genomic data.
• Build interpretable, well-calibrated models with rigorous uncertainty estimation and reproducibility.
• Prototype, test, and productionize ML models on scalable infrastructure.
• Own technical deliverables, contribute to the research roadmap, and raise engineering standards through code and design reviews.
• Collaborate with molecular biologists and clinical experts on experiments, analysis, and validation studies.
• Translate complex results for technical and non-technical audiences and mentor junior scientists.

Requirements

• PhD in Computer Science, Mathematics, Bioinformatics, or a related quantitative field, with 6–12 years of post-PhD experience.
• Hands-on experience developing statistical or machine learning methods for complex biological data.
• Proven innovation and technical leadership in complex method-development projects.
• Expertise in deep learning and multimodal foundation models.
• Proficiency in Python and its scientific computing ecosystem.
• Scientific rigor, strong communication skills, and a collaborative approach across teams.

Nice to have

• Experience with DNA methylation and other epigenomic data.
• Experience with cell-free DNA and liquid biopsy samples.
• Background in cancer genomics and diagnostics.
• Hands-on experience applying multimodal foundation models to biological data.

Culture & Benefits

• Annual performance incentive bonus and long-term equity awards.
• Medical, dental, vision, life, and disability benefits.
• 401(k) with company match.
• Paid time off, company holidays, commuter benefits, and wellness and work-life benefits.
• Additional fertility care, pregnancy, and baby bonding benefits for eligible employees and their immediate families.
• Collaborative environment focused on scientific excellence, curiosity, and cross-functional work.