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 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.
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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 Astrazeneca Pharmaceuticals Lp paid sponsored hires in similar roles15 certified filings for “Associate Director Oncology Outcomes Research” (Medical Scientists, Except Epidemiologists) in MD: $126k–$185k, median $140k.
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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 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. 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 Astrazeneca Pharmaceuticals Lp paid sponsored hires in similar roles
- 15 certified filings for “Associate Director Oncology Outcomes Research” (Medical Scientists, Except Epidemiologists) in MD: $126k–$185k, median $140k. Most were filed at wage level II (47%) — 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
The Associate Director, Digital Manufacturing & Automation will lead the design, implementation, integration, and continuous improvement of next-generation manufacturing digital platforms supporting Cell Therapy operations. This role bridges Manufacturing Operations, Automation Engineering, Digital IT, Quality, and Product teams to enable scalable, compliant, and intelligent manufacturing ecosystems across global Cell Therapy sites.
The primary focus is architecting and delivering advanced manufacturing capabilities including MES, LIMS, manufacturing automation, robotics integration, Tulip applications, and process orchestration platforms supporting end-to-end digital manufacturing workflows. The ideal candidate possesses strong technical product ownership capabilities combined with deep manufacturing systems expertise and hands-on experience integrating OT/IT ecosystems in regulated GMP environments.
Key Responsibilities
Digital Manufacturing Platforms
• Own delivery of scalable digital manufacturing platforms across Cell Therapy operations
• Lead development of MES, LIMS, automation interfaces, robotics workflows, and orchestration capabilities through internal teams and external partners
• Define product roadmaps, manage technical backlogs, and drive delivery of digital batch execution, electronic work instructions, device integration, and real-time visibility
• Serve as technical product owner ensuring solutions meet manufacturing and compliance requirements
MES & LIMS Workflow Orchestration
• Lead MES and LIMS workflow orchestration supporting autologous and allogeneic manufacturing processes
• Design orchestration frameworks integrating MES, LIMS, ERP, automation systems, robotics, and data platforms
• Define manufacturing process flows, APIs, data exchange patterns, and event-driven architectures
• Manage vendor delivery, reviewing technical designs and validating implementation quality
Tulip Manufacturing Applications
• Own Tulip application roadmap and delivery, partnering with development teams to build applications supporting shop floor execution, operator workflows, deviations, equipment monitoring, and process visibility
• Define application requirements, user stories, and acceptance criteria
• Build or oversee development of reusable components, connectors, integrations, and low-code automation workflows
• Partner with manufacturing SMEs to rapidly prototype and deploy solutions
Robotics & Manufacturing Automation Integration
• Lead integration of robotics platforms, automation equipment, OT systems, and edge devices into enterprise platforms
• Own technical delivery of automated material movement, manufacturing execution, environmental monitoring, and equipment telemetry
• Perform hands-on integration including middleware configuration (HighByte, OPC-UA), scripting, and file system management
Enterprise Systems Integration
• Lead integration of MES and LIMS with SAP, automation systems, and analytics platforms
• Enable real-time sample tracking, chain of identity/custody, and manufacturing genealogy
• Define canonical data models supporting advanced analytics and AI use cases
• Drive API integrations with SAP ERP, vein-to-vein systems, and custom/bespoke supplier applications
Technical Leadership & Solution Delivery
• Act as technical product owner managing delivery roadmaps, sprint planning, and stakeholder expectations
• Apply Agile methodologies, CI/CD, DevSecOps, automated testing, and version control
• Ensure applications are scalable, secure, maintainable, and GxP compliant
• Review and validate technical work by development partners and vendors
AI & Advanced Digital Manufacturing
• Leverage AI/ML to optimize workflows, exception handling, predictive maintenance, and manufactu
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