Senior Data Science Production Engineer

Summary

Join Natera as a Senior Data Science Production Engineer and play a key role in optimizing data-driven solutions for various products. Collaborate with cross-functional teams, including lab operations, product teams, and data scientists, to analyze and enhance the performance of Natera's production assays. Utilize SQL and statistical methods to interpret assay results, build anomaly detection models, and provide data-driven insights for continuous improvement. This position offers the opportunity to contribute to advancements in healthcare diagnostics and leverage your expertise to make a meaningful impact. You will optimize SQL queries, collaborate with database administrators, and document processes and best practices. The role requires strong communication and project management skills.

Requirements

• Master’s degree in statistics, engineering, computer science or equivalent
• 3+ years of experience in data analysis and modeling
• 3+ years of experience using Python/R for data analysis
• 3+ years of experience with a database query language such as SQL
• Deep understanding of various statistical concepts (parametric & non-parametric distributions, hypothesis testing, probability, regression), and machine learning
• Experience with version control systems such as GitHub, GitLab, etc
• Strong communication skills for technical and non-technical audiences and the ability to collaborate with cross-functional teams
• Strong Project Management experience

Responsibilities

• Collaborate and interface with Lab Operations and Product teams to identify process issues, and assist with thorough root cause analysis, and product support
• Provide data-backed analysis quickly to Lab Operations to unblock production issues and improve patient results turnaround times
• Utilize SQL for data extraction, transformation, and analysis to support the interpretation of assay results
• Collaborate with data scientists to perform statistical analysis on assay data, providing insights for continuous improvement
• Build anomaly detection models that monitor process metrics for deviations in product performance
• Apply statistical models to analyze and interpret data generated from assays
• Collaborate with data scientists to develop and refine statistical models for predictive analytics
• Work closely with assay development teams to understand the scientific and technical aspects of assays
• Provide data-driven insights to optimize and improve the performance of assays
• Optimize SQL queries for efficient data retrieval and analysis, ensuring timely and accurate results
• Collaborate with database administrators to enhance database performance
• Document processes, and best practices for supporting assays and data analysis
• Provide training to relevant teams on utilizing SQL and statistical methods

Preferred Qualifications

• AWS or other cloud infrastructure experience
• Desire to learn about human genetics and sequencing technologies
• Knowledge of data science product lifecycle

Benefits

• Comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents
• Natera employees and their immediate families receive free testing in addition to fertility care benefits
• Pregnancy and baby bonding leave
• 401k benefits
• Commuter benefits
• Generous employee referral program