Jobs / United States / Astrazeneca Pharmaceuticals Lp
Digital Eng, Robotics & Automation, Process Sciences, Analytics and Technology, CGT
Astrazeneca Pharmaceuticals Lp · 🇺🇸 US – Tarzana – 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 99 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 31 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 Astrazeneca Pharmaceuticals Lp paid sponsored hires in similar roles2 certified filings for “Director, Brand Analytics” (Data Scientists) in DE: $205k–$225k, median $215k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% 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 — Astrazeneca Pharmaceuticals Lp
The US Department of Labor certified 99 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 31 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 Astrazeneca Pharmaceuticals Lp →
About the role
We are seeking a Engineer, Digital and Data Science – Robotics and Automation within Process Sciences, Analytics and Technology, Cell and Gene Therapy. This engineer role will execute software, data, systems-integration, and digital-connectivity work required to develop and operate advanced robotic and automation platforms supporting AZD0120 and future cell and gene therapy programs. This engineer will build and support reliable interfaces, reusable software components, data pipelines, workflow logic, monitoring tools, and technical documentation that connect robotics with laboratory, manufacturing, and enterprise systems. The role will support platform scaling and the transition of robotic and digitally enabled workflows from laboratory development through manufacturing implementation and deployment for future commercial production. The engineer will contribute to reusable digital, data, and automation architectures that improve standardization, reliability, maintainability, technology transfer, lifecycle support, and expansion across cell therapy programs. The successful candidate will work hands-on in laboratory and engineering environments with automation engineers, scientists, Manufacturing Science and Technology, QC, Manufacturing Operations, Quality, Digital, IT, Informatics, and external technology partners. The engineer will directly support laboratory testing, engineering runs, workflow execution, equipment operation, troubleshooting, and data review in addition to software and data responsibilities. A central expectation is disciplined collaboration with Digital and IT so that locally useful solutions are also secure, supportable, governed, interoperable, and aligned with enterprise architecture and data standards. This position reports to the Executive Director, Automation, Robotics & Technical Writing and is based in Tarzana, California. Accountabilities Software Engineering for Robotics and Automation · Develop, configure, test, deploy, and maintain software components, scripts, utilities, services, and interfaces supporting robotic and modular automation workflows. · Implement equipment and instrument connectivity using approved APIs, software development kits, middleware, message-based integration, database interfaces, equipment drivers, serial communication, or industrial protocols, as applicable. · Contribute to workflow orchestration, scheduling logic, device-state management, handshakes, alarms, exception handling, pause-and-resume behavior, and recovery pathways. · Apply maintainable software-engineering practices using Digital- and IT-approved technology stacks, development environments, repositories, source-control and peer-review practices, automated testing, CI/CD approaches, release documentation, configuration management, and controlled deployment. · Develop within approved enterprise technology stacks and integration patterns, which may include Git-based repositories, Azure DevOps or comparable lifecycle tooling, APIs, containerized applications, cloud services, automated test frameworks, observability tooling, and software release-management capabilities, as appropriate to the intended use and support model. · Troubleshoot software defects, interface failures, timing issues, data mismatches, device-state conflicts, and workflow interruptions using logs, diagnostics, test evidence, and structured root-cause analysis. · Create reusable integration patterns and libraries that reduce one-off customization and improve scalability across automation platforms. Data Engineering, Contextualization and Traceability · Design and maintain data pipelines that capture, validate, transform, contextualize, store, and expose robotics- and equipment-generated data for authorized scienti