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Natera

Makes genetic tests for clinical care

Manager of Data Analysis - Production Support

Data AnalysisConfirmed live in the last 24 hours
Full-timeSan Carlos, CA, USAIn-person

About the Job

Requirements

  • A master's degree in a related field, such as Statistics, Data Science, or Computer Science.
  • At least 5 years of working experience in a highly regulated environment, such as CLIA- and/or FDA-compliant settings.
  • At least 5 years of hands-on experience in data analysis and/or statistical modeling in data production, data engineering, data analytics, or analytics production support roles.
  • At least 2 years in a team management role.
  • Knowledge of regulatory requirements, such as HIPAA and FDA guidelines.
  • Working knowledge of diagnostic laboratory business processes and requirements.
  • A proven track record in managing production escalations, data workflows, and team operations.
  • Proficiency in data analysis and statistical techniques.
  • Proficiency 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.
  • A strong understanding of statistical concepts, including parametric and non-parametric distributions, hypothesis testing, probability, and regression.
  • Proficiency in aggregating, preparing, and cleaning data, and performing 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.
  • Good documentation practices and coding style.
  • Experience using version control systems such as GitHub or GitLab for managing code and collaboration.
  • The ability to present technical findings to both technical and non-technical audiences.
  • Attention to detail and a commitment to data accuracy.
  • The ability to work collaboratively in a cross-functional team environment.
  • Strong integrity.

Responsibilities

  • Lead and mentor the specific Extended-Hours Support shift team, fostering 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 to propose process improvements and innovations.
  • Ensure timely and accurate resolution of production escalation data analysis tickets.
  • Train and coach team members on new technologies, procedures, guidelines, and best practices.
  • Enforce operating procedures for compliance, quality, and efficiency.
  • Manage and improve tracking systems for workload, capacity, and ticket service-level agreements.
  • Represent the Extended-Hours Support teams in stakeholder meetings.
  • Proactively manage stakeholder expectations.
  • Establish regular stakeholder reporting mechanisms.
  • Translate complex analytical results into actionable recommendations for cross-functional partners.
  • Escalate issues encountered to other data science, platform, and engineering teams.
  • Identify opportunities for automation and process enhancements to streamline operations.
  • Identify and escalate risks, such as data model changes that affect project timelines or ticket turnaround time.
  • Collaborate with the broader data science, platform, and engineering team to develop new and improve existing support solutions.

Desired Qualifications

  • Experience with healthcare data and clinical terminology.
  • A functional understanding of next-generation sequencing workflows.

About the Company

Natera

Makes genetic tests for clinical care

Natera develops genetic tests for clinicians caring for people with cancer, inherited conditions, pregnancies, and organ transplants, using DNA analysis to inform medical decisions. Its portfolio includes Signatera for tracking residual cancer, Panorama for prenatal screening, and Prospera for assessing transplanted organ health. The company combines laboratory analysis with software that distinguishes DNA fragments in blood, and earns revenue mainly from diagnostic testing, alongside licensing and services for research partners. Clinicians use its portals to order tests, track samples, and review results, while patients have access to genetic information sessions. Natera was founded in 2004 and is headquartered in Austin, Texas.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Austin, TX
Founded
2004

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