Sponsorship verdict
Sponsorship possible
One solid signal, not two. Worth applying, and worth asking about sponsorship early.
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✓
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.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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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.
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✓
What Natera INC paid sponsored hires in similar roles1 certified filing for “Manager, Software Engineering” (Computer and Information Systems Managers) in NY: $201k–$201k, median $201k.
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Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Employer is on a government sponsor record
- 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. Source: LCA disclosure data (US Department of Labor (OFLC)).
- No salary bar for this route
- H-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 roles
- 1 certified filing for “Manager, Software Engineering” (Computer and Information Systems Managers) in NY: $201k–$201k, median $201k. Most were filed at wage level II (100%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
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.
About the role
Location: On-Site in Boulder, CO (Foresight Dx business unit, a Natera company)
Foresight Diagnostics is a molecular diagnostics company pioneering non-invasive cancer detection through highly sensitive, cell-free DNA-based liquid biopsy technologies. Our proprietary methods - originally developed at Stanford University - are designed to detect smaller tumors earlier and enable more personalized treatment strategies for patients with cancer.
We sit at the intersection of molecular biology, bioinformatics, and next-generation sequencing (NGS), and we translate rigorous science into clinically meaningful solutions. Following our acquisition by Natera, we now combine the agility of a mission-driven startup with the scale and resources of a global leader in cell-free DNA testing. It’s an exciting moment to join us.
Headquartered in Boulder, Colorado, our team operates in a high accountability, collaborative environment where quality and continuous improvement aren’t just values - they’re how we work every day.
About The Role
The Senior Manager, Laboratory Systems & Process Engineering is a people and technical leadership role responsible for managing a team of Laboratory Systems Scientists while driving the implementation, optimization, and continuous improvement of laboratory systems and operational processes supporting Foresight Diagnostics’ laboratory operations.
This role serves as a critical operational leader within the Operational Excellence and Process Engineering organization, bridging strategic direction from laboratory operations leadership with day-to-day execution across laboratory systems, process engineering, asset management, and technology transfer initiatives. The Senior Manager is responsible for ensuring laboratory systems and workflows are scalable, efficient, compliance, and aligned with organizational growth and business-aligned objectives.
The Senior Manager partners closely with Laboratory Operations, R&D, Bioinformatics, Software Engineering, Automation Engineering, Quality, Regulatory, and Product teams to operationalize new capabilities, improve laboratory performance, and support high-throughput and high-complexity molecular testing operations. This position requires strong leadership, operational, and process engineering capabilities, along with the ability to exercise independent judgment in managing complex cross-functional initiatives and operational challenges in a regulated clinical laboratory environment. This position reports to the Director of Laboratory Operations.
What You Will Do
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Directly manage and develop a team of Laboratory Systems Scientists responsible for laboratory systems implementation, process engineering, validation activities, and operational support.
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Provide coaching, mentorship, performance management, and career development to team members.
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Establish team priorities, allocate resources, and ensure successful execution of operational and strategic initiatives under the direction of the Director of Laboratory Operations.
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Lead implementation and optimization of laboratory systems including automation platforms, laboratory software solutions, assay chemistry changes, laboratory workflows, and operational infrastructure.
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Support operational rollout of new assays, platforms, workflows, software solutions and clinical partnerships into the clinical production environments.
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Partner cross-functionally to ensure successful technology transfer, user adoption, training, and operational readiness.
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Apply Lean principles and process engineering methodologies to improve operational efficiency, workflow reliability, throughput, and scalability.
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Identify process bottlenecks, operational risk, and system inefficiencies through analysis of operational and analytical
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