Position Summary

The Manager of Data Science Production Engineering (DSPE) will oversee a team responsible for ensuring the successful production escalation resolutions, statistical analysis, maintenance of comprehensive product health dashboards, and post-launch support and monitoring services. This role will focus on enhancing the reliability of production support workflows, improving processes, and enabling teams to deliver actionable insights across the Oncology business unit. The Manager will act as a bridge between stakeholders, ensuring that operational needs are met and aligned with organizational goals.

Key Responsibilities:

Team Leadership and Development

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.

Operational Excellence

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.

Stakeholder Communication and Collaboration

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.

Process Improvement and Innovation

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

Strategic Contributions

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.

Qualifications:

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.
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.

Knowledge, Skills and Abilities:

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.

The pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.

Remote USA

$150,700—$188,450 USD

OUR OPPORTUNITY

Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives.

The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you’ll work hard and grow quickly. Working alongside the elite of the industry, you’ll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management.

WHAT WE OFFER

Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program!

For more information, visit www.natera.com.

Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide.

All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws.

If you are based in California, we encourage you to read this important information for California residents.

Link: https://www.natera.com/notice-of-data-collection-california-residents/

Please be advised that Natera will reach out to candidates with a @natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes.

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Manager, Data Science Production Engineering