Natera Director of Data Science Production Engineering at Natera leading the Extended-Hours Support engineering team. Oversee data analytics support operations within a CLIA/FDA regulated environment during critical events.
Responsibilities
Direct and mentor a team of 10+ ExHS data science support engineers and analysts
Enforce operating procedures for compliance, quality, and efficiency
Measure, report, and continuously improve team operational effectiveness
Lead the team during critical production incidents or emergency events during and outside standard business hours
Develop and maintain technologies for operational visibility and efficiency
Manage and execute analytics workflows on Snowflake and AWS infrastructure ensuring compliance with CLIA, FDA, and internal quality standards
Improve operating procedures for compliance, quality, and efficiency
Train and coach team members on new technologies, procedures, and best practices
Identify areas for improvement and implement solutions
Represent the ExHS teams in stakeholder meetings and manage stakeholder expectations
Translate complex analytical results into actionable recommendations
Qualification
Master's degree in StatisticsKNOWLEDGE
Required
Master's degree in Statistics, Data Science, Bioinformatics, Computer Science, Mathematics, or Operations Research required; Doctorate degrees are a plus.
Minimum 8 years of relevant industry experience with a Master's degree (or minimum 4 years with a Doctorate).
Minimum 3 years of experience operating within a highly regulated environment (CLIA and/or FDA compliant settings).
Minimum 3 years of management experience leading medium-sized teams (e.g., of 7 to 20 engineers or analysts, or larger) in production support or operational roles.
Working knowledge of diagnostic laboratory business processes and genomic/bioinformatics technologies.
KNOWLEDGE, SKILLS, AND ABILITIES:
Proficient in data analysis and statistical techniques.
Proficient in Python and SQL development.
Hands-on experience with Snowflake platform technologies and AWS cloud analytics tooling (Redshift, Athena, Batch, EC2, S3).
Demonstrated experience developing operational dashboards and analytical tools using AWS QuickSight, Streamlit, or equivalent platforms.
Strong written and verbal communication skills, with a track record of building cross-functional trust and explaining technical data clearly.
Ability to navigate operational ambiguity, establish structure where gaps exist, and resolve production bottlenecks directly.
