The opportunity
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 to accelerate R&D at Natera.
What you'll do
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 its ML/AI capabilities
Own the data science roadmap for R&D Operations, define success metrics, and: report progress and status to R&D Operations and executive stakeholders
Translate pain points and opportunities surfaced by data analytics into: solutions–process changes, algorithms, or new tools–and drive their implementation to deliver measurable process improvement, championing efficiency gains in turnaround time and cost per activity across R&D Operations
Own the sample governance process end-to-end, ensuring accuracy, timeliness,: and accountability, and manage the associated stakeholder relationships
Develop and oversee machine learning models, optimization strategies, and AI: solutions to forecast demand, optimize resource allocation, and automate operational processes
What they're looking for
- Lead the development of new data products, as well as the training and: enablement around them to grow visibility, self-service, and data-driven decision-making across R&D Operations
- Design, document, and implement processes for data governance, data: integrity, and reproducibility across R&D Operations
- Partner with the Data Engineering and Data Analytics Managers and collaborate: cross-functionally across R&D and supporting functions to translate business needs into governed, reliable data solutions
- Write clear, testable requirements (e.g. acceptance criteria, data contracts): and define the path from prototype to production in partnership with Data Engineering
