Jobs / United States / Astrazeneca Pharmaceuticals Lp

Astrazeneca Pharmaceuticals Lp

Associate Director, NGS & Bioinformatics

US – Santa Monica Colorado Avenue – CA 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 roles15 certified filings for “Associate Director Oncology Outcomes Research” (Medical Scientists, Except Epidemiologists) in MD: $126k–$185k, median $140k.
  • 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

Are you ready to make a significant impact in the field of cell therapy? In AstraZeneca's Cell Therapy division, we follow the science to explore and innovate. We are working towards treating, preventing, modifying, and even curing some of the world's most complex diseases. We have the potential to grow our pipeline and positively impact the lives of patients around the world. We are committed to making a difference and have built our business around our passion for science. Now we are fusing data and technology with the latest scientific innovations to achieve the next wave of breakthroughs. AstraZeneca is looking for an Associate Director to join the NGS & Bioinformatics group within Cell Therapy Translational and Safety Sciences (CT-TSS). In this role, you will provide scientific and analytical leadership for bioinformatics efforts that generate translational and safety insights across our cell therapy pipeline (CAR/TCR/in vivo). Your expertise will be crucial in advancing our cell therapy programs and transforming the lives of patients. Accountabilities • Lead the single-cell RNA sequencing (scRNAseq)-based analyses to generate translational and safety science insights supporting the AstraZeneca cell therapy pipeline (CAR/TCR/in vivo). • Oversee the development and optimization of bioinformatics pipelines supporting single-cell transcriptomics and multi-omic data integration. • Apply and guide the use of AI/ML methodologies and advanced analytics to derive actionable insights from complex multi-modal datasets. • Develop, validate, and operationalize program-specific and cross-trial computational models that integrate longitudinal multi-omic and clinical data to address defined translational questions, including response prediction, mechanism-of-action characterization, biomarker discovery, and resistance profiling. • Lead the evaluation, adaptation, and implementation of AI foundation models for single-cell and multi-omic data, including domain-specific pretraining, fine-tuning, embedding-based representation learning, benchmarking, and deployment to support translational and safety applications across cell therapy programs. • Guide assay development teams on NGS assay design, sequencing strategy, data quality requirements, and analytical readiness. • Interpret and integrate complex datasets within and across programs; provide clear written and verbal updates on findings and their translational/safety implications to key stakeholders. • Contribute to regulatory-support materials, internal strategy documents, and publication strategy, including preparation of data for presentation at internal and external scientific conferences. • Collaborate cross-functionally with bioanalysis, clinical, data engineering, and IT teams to ensure robust data management, workflow orchestration, and compute scalability for NGS and bioinformatics workflows. • Stay current with advancements in single-cell technologies and AI and ML-based models, and apply this knowledge to continuously improve analytical approaches. • Mentor and provide scientific/technical guidance to junior scientists and bioinformaticians within the team. Essential Skills/Experience • PhD in bioinformatics, computational biology, or a related field. • 6+ years of relevant pharmaceutical industry experience. • Demonstrated expertise in bioinformatics and computational analysis of single-cell RNA sequencing (scRNAseq) and multi-omic datasets. • Experience generating translational and safety science insights from genomic/transcriptomic data within Cell Therapy, immunology, or tumor biology programs. • Deep understanding of Cell therapy Biology, immune cell phenotyping, and/or tumor biology, with up-to-date knowledge of analytical methods applicable to characteriza

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