Jobs / United States / Natera INC
Manager of Data Analysis for Lab Production Support, Extended-Hours Support (ExHS)
Natera INC · 🇺🇸 San Carlos, CA
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 48 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 12 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Natera INC paid sponsored hires in similar roles4 certified filings for “Senior Data Science Production Engineer” (Data Scientists) in CA: $115k–$195k, median $144k. Most were filed at wage level III (50%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Natera INC
The US Department of Labor certified 48 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 12 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Natera INC →
About the role
Important: This position will work in one of the following three Extended-Hours Support (ExHS) shift teams: 1. Weekend Shift Team 1a. Rotation 1: Sunday to Thursday (9AM–5PM), Friday and Saturday off 1b. Rotation 2: Tuesday to Saturday (9AM–5PM), Sunday and Monday off 2. Early-Morning Shift Team 2a. Rotation 1: Monday to Friday (4AM–12PM Pacific Time), Saturday and Sunday off 2b. Rotation 2: Tuesday to Saturday (4AM–12PM Pacific Time), Sunday and Monday off 3. Late-Evening Shift Team 3a. Rotation 1: Monday to Friday (3PM–11PM Pacific Time), Saturday and Sunday off 3b. Rotation 2: Sunday to Thursday (3PM–11PM Pacific Time), Friday and Saturday off Important notes: • During hiring, candidates will select and commit to one shift team (Weekend, Early-Morning, or Late-Evening). • Once hired and onboarded, the team member will work exclusively within that shift team. • ExHS team members rotate quarterly (every three months) between their team's two rotations. • There are no rotations between shift teams. This is an exciting opportunity in our Data Science Production Engineering (DSPE) department at Natera (a global leader in precision medicine and genomics testing), to lead a team providing key data analytics services for our lab production operations. As a Manager of Data Analysis for Lab Production Support, you will work in one of the above three DSPE Extended-Hours Support (ExHS) shift teams, during the specified rotation hours. You will have the opportunity to apply innovative data analytics solutions, directly support the most cutting-edge medical diagnostics and genomics applications, and make real & immediate impact to patients and healthcare providers, by ensuring the specific ExHS shift team's timely and accurate data analytics support to production teams, e.g., product management team, lab operations teams, lab director teams, and genetic counselor teams. 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. QUALIFICATIONS: • 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