Principal Data Scientist (AI)

Location: Remote for candidates based in the United States or Canada. On-site desk space is available in South San Francisco or San Diego.

Salary: $188,000–$210,000 USD for US-based candidates; $160,000–$182,000 for Canada-based candidates.

Company

hirify.global is a global diagnostics company developing cancer tests using genomic and clinical data, bioinformatics, and AI.

What you will do

• Develop digital pathology AI models using whole-slide image data to predict clinical outcomes and pathological or morphological features.
• Adapt state-of-the-art open-source AI foundation models to hirify.global and collaborator datasets.
• Identify appropriate data sources and lead efforts to obtain annotations and machine-learning labels.
• Break down complex data and machine-learning problems into actionable projects, delegate work to junior team members, and track deliverables as technical lead.
• Collaborate with clinical, business, bioinformatics, statistical, medical, and external partners to tailor algorithms and research questions.
• Document analyses, create visualizations, and support evidence generation for diagnostic products and peer-reviewed publications.

Requirements

• PhD in Data Science, Machine Learning, Applied Mathematics, or an equivalent field.
• 8+ years of experience in data science or applied science, preferably in cancer or another disease-related field.
• Expertise in Python or an equivalent language for AI/ML development, computer vision, and data preparation.
• Proficiency in statistical analysis, including survival modeling, hypothesis testing, and multivariate regression with interaction effects.
• Experience with cloud computing environments, preferably AWS, and the ability to communicate AI/ML findings through presentations, figures, and academic writing.
• Technical leadership and employee management experience, including breaking down complex problems into delegable projects.

Nice to have

• Experience as a technical leader or manager.
• Experience with documentation and submissions in regulated diagnostic environments such as LDT or IVD.
• Experience working with real-world clinical data and evidence.

Culture & Benefits

• Purpose-driven work focused on transforming cancer care and supporting clinical decisions.
• Collaborative environment involving internal and external scientific, clinical, and medical partners.
• Competitive compensation with potential discretionary bonuses, incentives, and restricted stock units.
• Inclusive workplace with opportunities for professional learning and growth.
• Remote-friendly work arrangement for US- and Canada-based candidates, with optional on-site desk space in South San Francisco or San Diego.