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Home Based Astrazeneca Bioinformatics Jobs (NOW HIRING)

BiomeSense

Senior Bioinformatics Engineer

Chicago, IL · On-site

... cloud-based infrastructure, including databases, distributed computing workflows, and REST ... BiomeSense is a developing novel technologies to enable continuous, at-home monitoring of the human ...

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Home Based Astrazeneca Bioinformatics information

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How much do home based astrazeneca bioinformatics jobs pay per year?

As of Jul 27, 2026, the average yearly pay for home based astrazeneca bioinformatics in the United States is $94,474.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $129,500.00 per year, depending on experience, location, and employer.
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Home Based Astrazeneca Bioinformatics jobs near you
Infographic showing various Home Based Astrazeneca Bioinformatics job openings in the United States as of July 2026, with employment types broken down into 6% Locum Tenens, 3% Internship, 61% As Needed, 2% Full Time, 27% Temporary, and 1% Summer. Highlights an 85% Physical, 11% Hybrid, and 4% Remote job distribution, with an average salary of $94,474 per year, or $45.4 per hour.
Director, Immuno-oncology Bioinformatics

Director, Immuno-oncology Bioinformatics

AstraZeneca

Waltham, MA • On-site

$181K - $272K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago

AstraZeneca rating

8.4

Company rating: 8.4 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

19th of 86 rated pharmaceutical

Job description

The Translational Medicine (TM) Early Data Science (EDS) group delivers data-driven, actionable insights through the application of computational science to AstraZeneca's Oncology portfolio. The group has substantial expertise and a renowned track record in bioinformatics and data science, undertaking both portfolios applied informatics research and the development of cutting-edge capabilities. Within the IO Bispecifics team, we are at the forefront of developing innovative cancer immunotherapies, including Volrustomig (PD1/CTLA-4) and Rilvegostomig (PD1/TIGIT). Our ambition is to become the #1 IO of choice across tumors and combinations - breaking the limits of IO sensitivity by maximizing CTLA-4 inhibition, unlocking new patient populations, and competing head-to-head against IO Standards of Care. The Director of IO Bioinformatics will be integral to this mission, leveraging computational biology, multi-omics, and AI to derive insights that inform clinical development, regulatory submissions, and strategic positioning for these bispecific assets.
What You'll Do
We are seeking a talented Director of Oncology Bioinformatics with strong immuno-oncology expertise and experience analyzing clinical trials. This role will lead bispecific projects to advance our understanding of disease biology and drug response, informing patient selection strategies and future studies.
1. Serve as Strategic Bioinformatics Lead for IO Bispecifics: Guide bioinformatics efforts for Volrustomig and Rilvegostomig across tumor indications, supporting our goal to "BREAK limits of IO sensitivity" and unlock new patient populations.
2. Lead Analysis of Phase I-III Clinical Trials:
  • Apply multi-omics and AI/ML to inform clinical development, regulatory submissions, and strategic decision-making.
  • Drive generation of baseline and pharmacodynamic (PD) biomarkers, guiding tumor selection and companion diagnostic (CDx) development.
  • Understand MoA and CoC for both bispecifics.
  • Advance Computational Pathology (CPM) and Multiplex Immunofluorescence (mIF) analyses for response biomarker profiling across IO bispecific programs.
  • Lead proteomics efforts for bulk protein quantification and investigation of PD-1 degradation, including Laser Microdissection (LMD) to analyze the tumor microenvironment.
  • Optimize flow cytometry data analysis for peripheral immune profiling, including receptor occupancy and evaluation of PD-1 internalization from clinical PBMC samples.
  • Collaborate end-to-end with ImmunAI for processing AZ clinical blood and tumor samples and benchmarking against PDx/SoC data.

3. Build IO Bispecifics Bioinformatics Strategy in Close Partnership:
  • Collaborate with Translational Medicine Leads (TMLs), Clinical Development, EAI, and Computational Pathology.
  • Integrate diverse data types - RNAseq, TCRseq, ctDNA, cytokines, spatial transcriptomics - into robust biological insights.

4. Apply Advanced Computational Approaches: Leverage AstraZeneca's rich clinical and pre-clinical data to understand MoA, resistance, patient selection, and clinical differentiation for our bispecific assets.
5.Influence Data Generation Strategy:
  • Partner with TMLs to ensure generation of high-quality data assets and effective utilization of patient metadata within collaborative frameworks.
  • Contribute to biomarker plans for early oncology studies.

6. Publish and Collaborate:
  • Contribute to high-impact publications and present at major conferences (AACR, ASCO, ESMO).
  • Engage in strategic industry and academic collaborations, including building the "AZ AMICA" single-cell platform.

Essential Qualifications
  • PhD (or equivalent) in Computational Biology, Bioinformatics, Data Science, or related field, with strong focus on Immuno-Oncology and substantial expertise in multi-omics and AI/ML.
  • Significant experience analyzing complex multi-omic biomarkers in Phase I to Phase III oncology clinical trials, including ctDNA, TMB, RNAseq, and proteomics, with proficiency in survival analysis.
  • Deep understanding of molecular mechanisms driving patient response or resistance to IO bispecifics, including T-cell activation, clonal expansion, and tumor microenvironment modulation.
  • Highly developed communication skills, with ability to translate complex multi-omics and AI-driven insights into actionable narratives for scientific, clinical, and regulatory stakeholders.
  • Proven ability to lead multiple simultaneous projects within a cross-functional environment spanning TMLs, EDS, CPM, Bioscience, and external partners.
  • Outstanding publication record in immuno-oncology, translational bioinformatics, and biomarker discovery.
  • Expertise in R and/or Python, with extensive Unix and HPC experience for large-scale multi-omics and AI applications.

The annual base pay for this position ranges from $181K to $272K . Our positions offer eligibility for various incentives-an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles. Benefits offered include qualified retirement programs, paid time off (i.e., vacation, holiday, and leaves), as well as health, dental, and vision coverage in accordance with the terms of the applicable plans.
Date Posted
13-Jul-2026
Closing Date
27-Jul-2026
Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.

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