Manager of Data Analysis, Production Support
Natera
Summary
Behind every sample in Natera’s labs is a patient waiting on a result, whether that’s an expectant parent, someone monitoring their cancer, or a transplant recipient. The ExHS team supports those labs outside normal business hours, when production issues still come up and Lab Operations still needs answers. As Manager of Data Analysis, you lead one of the shift teams and work the queue alongside your analysts. You take on escalations yourself, review code, and help the team through difficult analyses, knowing that faster answers mean faster results for patients and their providers. You also set objectives, track SLAs, and represent the team in stakeholder meetings.
Job description
Primary Responsibilities
Leadership
- Lead and mentor the specific ExHS shift team, fostering a culture of accountability, innovation, and collaboration.
- Measure, report, and continuously improve team operational effectiveness.
- 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 data analysis tickets.
- Train and coach team members on new technologies, procedures, and guidelines/best practices.
- Enforce operating procedures for compliance, quality, and efficiency.
- Manage and improve tracking systems for workload, capacity, and ticket SLAs.
Communication and Collaboration
- Represent the Extended-Hours Support (ExHS) teams in stakeholder meetings.
- Proactively manage stakeholder expectations.
- Establish regular stakeholder reporting mechanisms.
- Translate complex analytical results into actionable recommendations for cross-functional partners.
- Effectively and correctly escalate issues encountered to other DSPE teams.
Process Improvement and Innovation
- Identify opportunities for automation and process enhancements to streamline operations.
- Identify and escalate risks such as data model changes that impact project timelines or ticket TAT.
- Collaborate with the overall DSPE team to develop new and improve existing support solutions.
Requirements
- Master's degree in a related field (e.g., Statistics, Data Science, Computer Science).
- Minimum 5 years of working experience in a highly regulated environment, e.g., CLIA and/or FDA compliant settings.
- Minimum 5 years of hands-on experience in data analysis and/or statistical modeling in data production, data engineering, data analytics, analytics production support roles.
- Minimum 2 years in a team management role.
- Knowledge of regulatory requirements, such as HIPAA and FDA guidelines.
- Working knowledge of the business processes and requirements of diagnostic laboratories.
- 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.
- Proficient in data analysis and statistical techniques.
- Proficient in Python and SQL development.
- Working knowledge of Snowflake platform technologies.
- 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).
- Proficient in aggregating data, preparing, cleaning data, and data mining using SQL and Python.
- Familiarity with machine learning techniques and their practical applications in real-world datasets.
- Strong leadership and team management skills.
- Excellent problem-solving and critical-thinking abilities.
- Good documentation practices and coding style.
- Strong verbal and written communication skills, with the ability to present technical findings to both technical and non-technical audiences.
- Experience using version control systems such as GitHub or GitLab for managing code and collaboration.
- Attention to detail and a commitment to data accuracy.
- Ability to work collaboratively in a cross-functional team environment.
- Strong integrity.
Benefits
- Annual performance incentive bonus
- Long-term equity awards
- Medical, Dental & Vision
- 401(k) with company match
- Paid time off
- Company holidays
- Free testing
- Fertility care benefits
- Pregnancy and baby bonding leave
- Commuter benefits
- Employee referral program
Company overview
Natera is a global leader in cell-free DNA (cfDNA) testing, specializing in molecular diagnostics for oncology, women's health, and organ health. Founded in 2004 and headquartered in Austin, Texas, the company has developed a cutting-edge cfDNA technology platform that combines novel molecular biology techniques with bioinformatics software and artificial intelligence. Natera's proprietary technology enables detection down to a single molecule in a tube of blood, making it possible to provide highly accurate genetic testing services. The company's flagship products include Signatera, a personalized circulating tumor DNA test for cancer monitoring; Panorama, a non-invasive prenatal test for chromosomal abnormalities; and Prospera, a transplant rejection assessment test. With over 4,400 employees and operations in CLIA-certified, CAP-accredited laboratories in Austin and San Carlos, California, Natera has processed more than 12 million tests and validated its technology through over 300 peer-reviewed publications. The company went public in 2015 and continues to innovate in precision medicine, aiming to make personalized genetic testing part of standard healthcare to enable earlier interventions and improved patient outcomes.