Manager, Data Science
Natera · San Carlos, CA
About this role
**POSITION SUMMARY** Natera is a global leader in cell-free DNA testing, advancing diagnostics in oncology, women’s health, and organ health to support better patient care. As a **Data Science Manager** in **R&D Operations**, you will lead a team of data scientists to design and implement data solutions that accelerate R&D at Natera. You’ll own operational data workflows, establish scalable processes and SOPs, and apply ML/AI expertise to enable informed decision-making and drive efficiency. You’ll work closely with the **Data Engineering Manager** and **Data Analytics Manager** to deliver integrated, reliable data solutions. **RESPONSIBILITIES** - Direct, mentor, and develop a team of data scientists (including hiring, performance management, and career development) - Set the technical direction for the data science team and advance ML/AI capabilities - Own the data science roadmap for R&D Operations; define success metrics and report progress to R&D Operations and executive stakeholders - Translate analytics pain points and opportunities into process changes, algorithms, or new tools—driving measurable improvements in turnaround time and cost per activity - Own the sample governance process end-to-end, ensuring accuracy, timeliness, and accountability - Develop and oversee machine learning models, optimization strategies, and AI solutions to forecast demand, optimize resource allocation, and automate operational processes - Lead development of new data products and the training/enablement needed to grow visibility, self-service, and data-driven decision-making - Design, document, and implement processes for data governance, data integrity, and reproducibility - Partner with Data Engineering and Data Analytics and collaborate cross-functionally to deliver governed, reliable data solutions - Write clear, testable requirements (e.g., acceptance criteria, data contracts) and define the path from prototype to production **QUALIFICATIONS** - 7+ years of experience in data science in biotechnology, life sciences, or operations research - Demonstrated people-management experience (hiring, mentoring, coaching, performance and career growth) - Experience owning a data science roadmap and communicating progress to senior/executive stakeholders - Working knowledge of a relevant scientific or operational domain (biology/life sciences preferred; operations research a close second) - Experience working with laboratory or operational data (e.g., LIMS, sample management, inventory, procurement, equipment operations) - Track record driving process improvement through root-cause analysis and delivery of solutions (process changes, algorithms, or new tools) - Strong background building data processes, SOPs, and governance frameworks - Expertise in **Python** (pandas, scikit-learn, TensorFlow/PyTorch) and **SQL** - Hands-on ML/AI expertise applied to real-world problems; ability to set technical direction for predictive modeling and optimization - Experience taking ML models/data products from prototype to production, including monitoring and maintenance - Experience with modern cloud data warehouse and transformation tooling (e.g., **Snowflake**, **dbt**) - Experience partnering with engineering/analytics to deliver end-to-end solutions, including writing requirements/technical specifications - Clear, direct communication skills to translate complex insights into actionable recommendations **NICE TO HAVE** - Advanced degree in biology, molecular biolo
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