Lead Bioinformatics & Machine Learning Scientist

Location: San Carlos, CA; other eligible location: US

Salary: $172,000–$214,000 USD annually

Company

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

What you will do

• Develop, train, and evaluate machine learning models for cancer detection in the minimal residual disease setting and treatment selection.
• Own research analyses from ideation through implementation, troubleshooting, feature development, and performance evaluation.
• Translate wet-lab experimental designs into computational analyses while adapting to evolving assay requirements.
• Maintain rigorous quality control across high-volume sequencing data from multiple cohorts, vendors, and clinical protocols.
• Communicate findings and model performance to technical and cross-functional stakeholders.
• Help establish standards for code quality and reproducibility.

Requirements

• PhD in Computer Science, Bioinformatics, Computational Biology, or a related quantitative field, with a strong emphasis on cancer epigenomics/genomics.
• 4 to 8+ years of experience post-PhD.
• Deep theoretical and practical understanding of high-throughput DNA sequence data analysis, including mapping, sequence alignment, and variant calling workflows.
• Experience in algorithm development, data analysis, and applying and evaluating statistical methods.
• Experience developing core machine learning models, including generalized linear models, kernel methods, tree-based algorithms, and neural networks, especially for biological data.
• Strong quantitative reasoning, data analysis, computational, and programming skills.
• Experience with Python, Linux command-line tools, shell scripting, and Python statistical packages including NumPy, Matplotlib, and Pandas.
• Familiarity with public databases such as TCGA, COSMIC, or OncoKB.
• Ability to visualize findings and communicate results orally and in writing to technical and non-technical audiences.
• Scientific rigor, willingness to teach and learn computational methods and biology, and ability to collaborate with computational and experimental scientists.

Culture & Benefits

• Collaborative, cross-functional environment spanning statisticians, geneticists, physicians, laboratory scientists, software engineers, and other specialists.
• Annual performance incentive bonus and long-term equity awards.
• Medical, dental, vision, life, and disability benefits, including coverage for eligible dependents.
• 401(k) with company match, paid time off, company holidays, commuter benefits, wellness benefits, and work-life benefits.
• Additional fertility care benefits and free testing for employees and immediate family members.
• Equal opportunity workplace committed to diversity and inclusion.