Manager, Data Science (AI)

Location: San Carlos, California, United States

Salary: $139,900–$174,900 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

• Lead, mentor, hire, and develop a team of data scientists, including performance and career management.
• Set the team’s technical direction, own the R&D Operations data science roadmap, define success metrics, and report progress to senior and executive stakeholders.
• Translate operational pain points and analytical insights into process changes, algorithms, tools, and measurable improvements in turnaround time and cost.
• Own sample governance end to end and manage stakeholder relationships across R&D Operations.
• Develop and oversee machine learning models, optimization strategies, AI solutions, and data products for demand forecasting, resource allocation, and operational automation.
• Establish data governance, integrity, reproducibility, SOPs, requirements, data contracts, and the path from prototype to production in partnership with engineering and analytics.

Requirements

• 7+ years of data science experience in biotechnology, life sciences, or operations research.
• Demonstrated people-management experience, including hiring, mentoring, coaching, performance management, and career development for data scientists.
• Experience owning a data science roadmap and communicating progress to senior and executive stakeholders.
• Working knowledge of biology, life sciences, or operations research sufficient to partner with R&D Operations stakeholders.
• Experience with laboratory or operational data, such as LIMS, sample management, inventory, procurement, or equipment operations.
• Track record of identifying root causes and delivering process improvements through process changes, algorithms, or new tools.
• Strong experience building data processes, SOPs, governance frameworks, and reproducible data solutions.
• Expertise in Python, including pandas, scikit-learn, TensorFlow or PyTorch, and SQL.
• Hands-on machine learning and/or AI experience, including predictive modeling, optimization, monitoring, maintenance, and taking models or data products from prototype to production.
• Experience with modern cloud data warehouses and transformation tools such as Snowflake and dbt.
• Experience partnering with engineering and analytics to deliver end-to-end solutions and write requirements or technical specifications.
• Clear communication, critical thinking, learning ability, and problem-solving skills.

Nice to have

• Advanced degree in biology, molecular biology, biochemistry, bioinformatics, or operations research.
• Familiarity with data integrity and audit-readiness practices in regulated GxP/GCLP environments.

Culture & Benefits

• Annual performance incentive bonus and long-term equity awards.
• Medical, dental, vision, life, and disability benefits, including benefits for eligible dependents.
• 401(k) with company match, paid time off, company holidays, commuter benefits, wellness, and work-life benefits.
• Additional fertility care, pregnancy, and baby bonding benefits; employees and immediate families receive free testing.
• Inclusive workplace focused on collaboration, professional growth, and improving patient care.