Data Science Production Engineering Manager

Summary

Join Natera as the Manager of Data Science Production Engineering (DSPE) and lead a team ensuring successful production escalation resolutions, statistical analysis, and post-launch support. You will enhance the reliability of production support workflows, improve processes, and deliver actionable insights across the Oncology business unit. This role requires strong leadership, communication, and collaboration skills to bridge operational needs with organizational goals. You will oversee the development and maintenance of data products, manage team operations, and drive process improvements. The ideal candidate possesses a Master's degree in a related field, 5+ years of experience in clinical data analysis (2+ years in leadership), and proficiency in data analysis tools and programming languages. Natera offers competitive benefits, including comprehensive medical, dental, vision, life, and disability plans, as well as free testing for employees and their families.

Requirements

• Master’s degree in a related field (e.g., Statistics, Data Science, Computer Science)
• Minimum of 5+ years of experience in clinical data analysis or a related role preferably in a healthcare or pharmaceutical setting, with 2+ years in a leadership role
• Knowledge of clinical research methodologies and regulatory requirements, such as HIPAA and FDA guidelines
• Proven track record in managing production escalations, data workflows, and team operations
• Strong proficiency in data analysis tools and programming languages (e.g., SQL, Python, R)
• Proficiency in statistical analysis tools (e.g., R, SAS) and data visualization tools (e.g., Tableau, Power BI, Quick Sight)
• Strong SQL skills for querying and retrieving data from complex data sources in a structured format
• Strong understanding of various statistical concepts (parametric & non-parametric distributions, hypothesis testing, probability, regression), and machine learning
• Proficient in aggregating data, preparing, cleaning data, and data mining using SQL and Python
• Strong leadership and team management skills
• Excellent problem-solving and critical-thinking abilities
• Excellent interpersonal and communication skills, with the ability to align diverse teams toward a common goal
• Attention to detail and a commitment to data accuracy
• Ability to work collaboratively in a cross-functional team environment

Responsibilities

• Lead and mentor the DSPE team, fostering a culture of accountability, innovation, and collaboration
• Define and track team objectives, ensuring alignment with broader organizational goals
• Provide career growth opportunities, feedback, and performance assessments for team members
• Encourage individual contributors (ICs) to pitch ideas for process improvements and innovations
• Ensure timely and accurate resolution of production escalations and data analysis tickets
• Oversee the development and maintenance of de-identified data products, ensuring compliance with data privacy standards
• Drive improvements in the onboarding documentation and code repository for seamless team operations
• Manage and improve tracking systems for workload, capacity, and ticket SLAs
• Serve as the primary point of contact for internal stakeholders, ensuring clear communication and satisfaction
• Address friction caused by last-minute requirements or unclear expectations by implementing proactive communication strategies
• Collaborate with Lab Directors, R&D, and senior leadership to provide valuable insights through dashboards and reports
• Identify opportunities for automation and process enhancements to streamline operations
• Mitigate risks such as data model changes that impact project timelines or ticket TAT
• Establish scalable standards for hypercare and post-launch monitoring support
• Collaborate with the team to develop and refine statistical models for predictive analytics
• Contribute to defining clear mandates, roles, and responsibilities for cross-functional teams
• Align DSPE initiatives with organizational goals by delivering actionable insights and data products
• Set a new benchmark for product health dashboards and automated root cause analysis

Preferred Qualifications

• Experience with healthcare data, and clinical terminology is a plus
• Functional understanding of next-gen sequencing workflows
• Experience working with machine learning methods to clinical and/or genomic data

Benefits

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