Jobs / United States / Astrazeneca Pharmaceuticals Lp

Astrazeneca Pharmaceuticals Lp

Process Engineer, Cell Therapy Process Development

US - Gaithersburg - MD Posted today

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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.
  • 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.
  • What Astrazeneca Pharmaceuticals Lp paid sponsored hires in similar roles12 certified filings for “Assoc.
  • 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
12 certified filings for “Assoc. Princ. Scientist, Vector Engineering & Cell Line Dev.” (Molecular and Cellular Biologists) in MD: $103k–$158k, median $136k. Most were filed at wage level IV (33%) — 4 lottery entries, ≈61% 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

Position Summary   We are seeking a highly motivated Process Engineer to support late-stage cell therapy process development and characterization activities. In this role, you will play critical role in advancing late-stage cell therapy process development, process characterization, and BLA‑enabling studies.    This position focuses specifically on cell therapy unit operations, including T-cell enrichment, activation, transduction, washes and harvest either semi-automated or fully automated equipment.   The ideal candidate brings deep technical expertise, hands-on experience with cell therapy unit operations, and demonstrates success in supporting clinical and commercial readiness.  Key Responsibilities   Process development and characterization   • Design, execute, and support autologous or allogenic cell therapy process optimization and robustness studies.    • Drive implementation of closed-system operations and automation strategies to support scalability and compliance.   • Plan and execute process characterization studies (DOE, multivariate studies, scale‑down models, and scale‑up assessments) in alignment with QbD and ICH guidelines.  • Perform data analysis, write technical reports, and present outcome of the studies to cross‑functional teams and governance forums.  • Conduct batch record review, deviation assessment, and data trending to ensure robustness of cell therapy manufacturing processes.  • Apply AI‑enabled tools and digital analytics to accelerate data review, trend analysis, batch record evaluation, and process understanding.  PPQ, Tech Transfer & Manufacturing Readiness   • Provide on‑the‑floor technical support during scale‑up, engineering runs, PPQ batches, and commercial manufacturing campaigns (including off‑shift support when required).  • Support raw material risk assessments, comparability studies, and process risk evaluations across facilities and platforms.  Cross‑Functional Collaboration   • Work closely with analytical sciences and manufacturing science and technology teams to ensure end‑to‑end process alignment.  • Support lifecycle management, post‑approval changes, and continuous improvement initiatives for cell therapy processes.  Required Qualifications   • M.S. in Chemical Engineering, Biochemical Engineering, Biotechnology, or related field with 2+ years of industry experience; OR B.S. with 7+ years of hands‑on industry experience.  • Strong technical expertise in key cell therapy unit operations (e.g., cell isolation, activation, transduction, expansion, harvest, formulation, cryopreservation) or biologics.  • Demonstrated experience with GMP operations and late‑stage / commercial readiness.  • Proven ability to analyze complex datasets, develop sound recommendations, and communicate clearly across levels  • Experience with late‑stage development and process characterization principles for cell therapy processes.  • Demonstrated proficiency in applying AI tools and digital solutions to data analysis, documentation, and workflow automation.  • Experience working in GMP environments, including batch record execution or review, deviations, and investigations.  • Strong technical writing, data analysis, and problem‑solving skills.  Preferred Qualifications   • Familiarity with automation platforms (e.g., CliniMACS Prodigy, Lovo, G-Rex, Wave bioreactors).  • Experience implementing closed, automated, or high‑throughput systems.  • Experience designing and executing DOE and multivariate data analysis for cell therapy processes.  • Experience with JMP or similar statistical analysis tools.  • Formal training or demonstrated application of digitalization, automation, or AI‑enabled tools in bioprocess development.  Key Competencies   • Strong experimental design and execut

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