{"schemaVersion":"jobsearcher.job.v1","id":"1eae7e0a635a002eaa13e1dc","url":"https://jobsearcher.com/jobs/1eae7e0a635a002eaa13e1dc","canonicalUrl":"https://jobsearcher.com/jobs/1eae7e0a635a002eaa13e1dc","title":"Data Science / Engineer","description":"Director of Data Science Production Engineering, Extended-Hours SupportAbout the CompanyNatera is an Equal Opportunity Employer committed to a diverse and inclusive workplace. Qualified applicants are considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability, criminal history consistent with applicable law, or any other legally protected status. Natera will contact candidates only from an natera.com email domain. The company does not conduct interviews via text message or request personal information before candidates have spoken with a recruiter and hiring team.About the RoleDirector of Data Science Production Engineering, Extended-Hours SupportNatera is seeking a Director of Data Science Production Engineering to lead the Extended-Hours Support (ExHS) engineering team within the Data Science Production Engineering (DSPE) organisation. This US-remote leadership role oversees data analytics support for production teams, including Product Management, Lab Operations, Laboratory Directors, and Genetic Counselors, within a CLIA/FDA-regulated environment. You will lead a team of data science support engineers and analysts, strengthen operational visibility and efficiency, manage production analytics workflows, and partner across functions to resolve critical operational issues. The role requires availability during early-morning, late-evening, or weekend hours only for emergencies and other critical events.ResponsibilitiesTeam Leadership & OperationsDirect and mentor a team of 10+ ExHS data science support engineers and analysts across standard and extended operational shifts.Ensure timely and accurate data analytics support for production teams.Enforce operating procedures for compliance, quality, and efficiency.Measure, report on, and continuously improve team operational effectiveness.Lead the team during critical production incidents and emergency events, including outside standard business hours.Technical Execution & InfrastructureDevelop and maintain technologies for operational visibility, including AWS QuickSight or Streamlit.Develop and maintain technologies that improve operational efficiency.Manage and execute analytics workflows using Snowflake and AWS infrastructure, including Redshift, Athena, Batch, EC2, and S3.Ensure compliance with CLIA, FDA, and internal quality-management standards.Process Improvement & CollaborationImprove operating procedures for compliance, quality, and efficiency.Train and coach team members on new technologies, procedures, guidelines, and best practices.Identify improvement opportunities within the DSPE ExHS team and develop or implement solutions with DSPE partners.Represent the ExHS team in stakeholder meetings.Manage stakeholder expectations and establish regular stakeholder reporting.Translate complex analytical findings into actionable recommendations for cross-functional partnersQualificationsMaster’s degree in Statistics, Data Science, Bioinformatics, Computer Science, Mathematics, or Operations Research.At least 8 years of relevant industry experience with a Master’s degree, or at least 4 years with a Doctorate degree.At least 3 years of experience working in a highly regulated environment, including CLIA- and/or FDA-compliant settings.At least 3 years of management experience leading medium-sized teams of approximately 7–20 engineers or analysts, or larger, in production support or operational roles.Working knowledge of diagnostic laboratory business processes.Working knowledge of genomic or bioinformatics technologies.Proficiency in data analysis and statistical techniques.Proficiency in Python and SQL development.Hands-on experience with Snowflake and AWS cloud analytics tools, including Redshift, Athena, Batch, EC2, and S3.Experience developing operational dashboards and analytical tools using AWS QuickSight, Streamlit, or equivalent platforms.Strong written and verbal communication skills.Ability to build cross-functional trust and clearly explain technical data.Ability to navigate operational ambiguity, establish structure, and directly resolve production bottlenecks.Good documentation practices and coding style.Strong integrity.Required SkillsData science production engineeringProduction support operationsData analytics and statistical analysisPython and SQLSnowflakeAWS analytics infrastructureAmazon Redshift, Athena, Batch, EC2, and S3AWS QuickSightStreamlitOperational dashboards and analytical toolsCLIA and FDA complianceDiagnostic laboratory operationsGenomics and bioinformaticsIncident and emergency responseTeam leadership and mentoringProcess improvementStakeholder managementCross-functional communicationTechnical documentationProblem-solving in ambiguous operational environmentsPreferred SkillsDoctorate degree in Statistics, Data Science, Bioinformatics, Computer Science, Mathematics, or Operations Research.Pay range and compensation packageSalary range: $186,300–$232,900 USDActual compensation is determined by factors including skills, years and depth of experience, certifications, and office location; pay may differ by location due to cost-of-labour considerations.Comprehensive medical, dental, vision, life, and disability plans for eligible employees and dependentsFree Natera testing for employees and immediate family membersFertility care benefitsPregnancy and baby-bonding leave401(k) benefitsCommuter benefitsEmployee referral programEqual Opportunity","company":"Torentify","rawCompany":"torentify","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-09-20T07:04:00.760Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"11-9121.00","title":"Natural Sciences Managers","slug":"natural-sciences-managers"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"541714","title":"Research and Development in Biotechnology (except Nanobiotechnology)","slug":"research-and-development-in-biotechnology-except-nanobiotechnology"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Science / Engineer","description":"Director of Data Science Production Engineering, Extended-Hours SupportAbout the CompanyNatera is an Equal Opportunity Employer committed to a diverse and inclusive workplace. Qualified applicants are considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability, criminal history consistent with applicable law, or any other legally protected status. Natera will contact candidates only from an natera.com email domain. The company does not conduct interviews via text message or request personal information before candidates have spoken with a recruiter and hiring team.About the RoleDirector of Data Science Production Engineering, Extended-Hours SupportNatera is seeking a Director of Data Science Production Engineering to lead the Extended-Hours Support (ExHS) engineering team within the Data Science Production Engineering (DSPE) organisation. This US-remote leadership role oversees data analytics support for production teams, including Product Management, Lab Operations, Laboratory Directors, and Genetic Counselors, within a CLIA/FDA-regulated environment. You will lead a team of data science support engineers and analysts, strengthen operational visibility and efficiency, manage production analytics workflows, and partner across functions to resolve critical operational issues. The role requires availability during early-morning, late-evening, or weekend hours only for emergencies and other critical events.ResponsibilitiesTeam Leadership & OperationsDirect and mentor a team of 10+ ExHS data science support engineers and analysts across standard and extended operational shifts.Ensure timely and accurate data analytics support for production teams.Enforce operating procedures for compliance, quality, and efficiency.Measure, report on, and continuously improve team operational effectiveness.Lead the team during critical production incidents and emergency events, including outside standard business hours.Technical Execution & InfrastructureDevelop and maintain technologies for operational visibility, including AWS QuickSight or Streamlit.Develop and maintain technologies that improve operational efficiency.Manage and execute analytics workflows using Snowflake and AWS infrastructure, including Redshift, Athena, Batch, EC2, and S3.Ensure compliance with CLIA, FDA, and internal quality-management standards.Process Improvement & CollaborationImprove operating procedures for compliance, quality, and efficiency.Train and coach team members on new technologies, procedures, guidelines, and best practices.Identify improvement opportunities within the DSPE ExHS team and develop or implement solutions with DSPE partners.Represent the ExHS team in stakeholder meetings.Manage stakeholder expectations and establish regular stakeholder reporting.Translate complex analytical findings into actionable recommendations for cross-functional partnersQualificationsMaster’s degree in Statistics, Data Science, Bioinformatics, Computer Science, Mathematics, or Operations Research.At least 8 years of relevant industry experience with a Master’s degree, or at least 4 years with a Doctorate degree.At least 3 years of experience working in a highly regulated environment, including CLIA- and/or FDA-compliant settings.At least 3 years of management experience leading medium-sized teams of approximately 7–20 engineers or analysts, or larger, in production support or operational roles.Working knowledge of diagnostic laboratory business processes.Working knowledge of genomic or bioinformatics technologies.Proficiency in data analysis and statistical techniques.Proficiency in Python and SQL development.Hands-on experience with Snowflake and AWS cloud analytics tools, including Redshift, Athena, Batch, EC2, and S3.Experience developing operational dashboards and analytical tools using AWS QuickSight, Streamlit, or equivalent platforms.Strong written and verbal communication skills.Ability to build cross-functional trust and clearly explain technical data.Ability to navigate operational ambiguity, establish structure, and directly resolve production bottlenecks.Good documentation practices and coding style.Strong integrity.Required SkillsData science production engineeringProduction support operationsData analytics and statistical analysisPython and SQLSnowflakeAWS analytics infrastructureAmazon Redshift, Athena, Batch, EC2, and S3AWS QuickSightStreamlitOperational dashboards and analytical toolsCLIA and FDA complianceDiagnostic laboratory operationsGenomics and bioinformaticsIncident and emergency responseTeam leadership and mentoringProcess improvementStakeholder managementCross-functional communicationTechnical documentationProblem-solving in ambiguous operational environmentsPreferred SkillsDoctorate degree in Statistics, Data Science, Bioinformatics, Computer Science, Mathematics, or Operations Research.Pay range and compensation packageSalary range: $186,300–$232,900 USDActual compensation is determined by factors including skills, years and depth of experience, certifications, and office location; pay may differ by location due to cost-of-labour considerations.Comprehensive medical, dental, vision, life, and disability plans for eligible employees and dependentsFree Natera testing for employees and immediate family membersFertility care benefitsPregnancy and baby-bonding leave401(k) benefitsCommuter benefitsEmployee referral programEqual Opportunity","datePosted":"2026-09-20T07:04:00.760Z","dateModified":"2026-09-20T07:04:00.760Z","hiringOrganization":{"@type":"Organization","name":"Torentify","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"1eae7e0a635a002eaa13e1dc"},"url":"https://jobsearcher.com/jobs/1eae7e0a635a002eaa13e1dc"}}