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Astrazeneca Bioinformatics Jobs (NOW HIRING)

Lead bioinformatic and data science efforts focused on single-cell RNA-seq (scRNA-seq) data, including experimental design support, data processing, quality control, and downstream analysis. * Apply ...

Lead bioinformatic and data science efforts focused on single-cell RNA-seq (scRNA-seq) data, including experimental design support, data processing, quality control, and downstream analysis. * Apply ...

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Astrazeneca Bioinformatics information

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$59.5K

$94.5K

$149.5K

How much do astrazeneca bioinformatics jobs pay per year?

As of Jun 8, 2026, the average yearly pay for 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.

What are the key skills and qualifications needed to thrive in the Astrazeneca Bioinformatics position, and why are they important?

To excel in a Bioinformatics role at AstraZeneca, you need a solid background in computational biology, statistics, and life sciences, typically supported by an advanced degree in bioinformatics, computational biology, or a related field. Hands-on experience with programming languages (such as Python and R), high-throughput sequencing data analysis, and familiarity with bioinformatics tools and platforms (like NGS pipelines and cloud computing) are essential. Strong analytical thinking, problem-solving abilities, and the capacity to communicate complex data insights clearly to multidisciplinary teams are key soft skills. These qualifications are crucial for effectively transforming biological data into actionable insights that drive drug discovery and development at AstraZeneca.

What are the typical daily responsibilities of a Bioinformatics professional at AstraZeneca?

Bioinformatics professionals at AstraZeneca are involved in analyzing large-scale biological datasets, developing and maintaining analytical pipelines, and collaborating closely with biologists and data scientists to interpret results. Daily tasks may include data preprocessing, statistical analysis, and the visualization of complex genomic or proteomic data to support research and development projects. Teamwork is central, with frequent cross-functional meetings to align on project goals and share findings. Additionally, you may contribute to the publication of scientific research and stay updated on the latest advances in bioinformatics to continuously improve workflows. This dynamic role offers the opportunity to work on impactful, innovative projects in an internationally recognized pharmaceutical environment.

What is an AstraZeneca Bioinformatics job?

An AstraZeneca Bioinformatics job involves analyzing complex biological data to support drug discovery and development. Bioinformaticians use computational tools, machine learning, and statistical methods to interpret genomic, transcriptomic, and other biological datasets. They collaborate with scientists across disciplines to identify biomarkers, optimize treatment strategies, and accelerate research. These roles require expertise in programming, data science, and biology.

More about Astrazeneca Bioinformatics jobs
What cities are hiring for Astrazeneca Bioinformatics jobs? Cities with the most Astrazeneca Bioinformatics job openings:
What are the most commonly searched types of Astrazeneca Bioinformatics jobs? The most popular types of Astrazeneca Bioinformatics jobs are:
What states have the most Astrazeneca Bioinformatics jobs? States with the most job openings for Astrazeneca Bioinformatics jobs include:
What job categories do people searching Astrazeneca Bioinformatics jobs look for? The top searched job categories for Astrazeneca Bioinformatics jobs are:
Infographic showing various Astrazeneca Bioinformatics job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $94,474 per year, or $45.4 per hour.
Data Scientist

Data Scientist

AstraZeneca

Santa Monica, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago


AstraZeneca rating

8.6

Company rating: 8.6 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

16th of 71 rated pharmaceutical


Job description

Key Responsibilities
  • Lead bioinformatic and data science efforts focused on single-cell RNA-seq (scRNA-seq) data, including experimental design support, data processing, quality control, and downstream analysis.
  • Apply advanced statistical, machine learning, and AI methods to single-cell transcriptomic data to identify cell states, trajectories, biomarkers, and mechanistic insights relevant to clinical outcomes.
  • Integrate scRNA-seq data with complementary data types (e.g., bulk RNA-seq, genomics, clinical metadata) to support translational and clinical decision-making.
  • Analyze and interpret single-cell TCR sequencing (scTCR-seq) data to characterize T-cell clonality, diversity, and clonal dynamics in clinical cell therapy studies.
  • Integrate scRNA-seq and scTCR-seq data to link T-cell receptor repertoire features with transcriptional states, phenotypes, and clinical outcomes.
  • Design and implement custom analytical tools and models tailored to cell therapy and immunology research questions.
  • Collaborate closely with biologists, clinicians, and cross-functional teams to translate single-cell analytics into actionable insights for ongoing clinical programs.
  • Contribute to the development of analytical models for clinical NGS and single-cell data in regulated environments.
  • Establish and maintain reproducible, scalable data architectures using cloud platforms and/or high-performance computing resources.
  • Build and manage code repositories, documentation, and best practices for single-cell data analysis.
  • Communicate complex analytical methods and findings through clear reports, visualizations, presentations, and collaborative discussions.
  • Stay current with emerging single-cell technologies, methods, and tools, and proactively incorporate them to improve analytical approaches.

Essential Qualifications, Skills and Experience
Education & Experience
  • 5+ years of relevant experience with a BS/BA,
  • or 3+ years with an MS/MA,
  • or 1+ year with a PhD
  • in data science, computational biology, bioengineering, or a related field, with relevant post-graduate experience.

Technical & Scientific Expertise
  • Deep hands-on experience with single-cell RNA-seq data analysis, including normalization, batch correction, clustering, annotation, trajectory inference, and differential expression.
  • Strong background in NGS workflows, with emphasis on single-cell experimental platforms and data characteristics.
  • Proficiency with single-cell immune repertoire sequencing concepts, including clonotype definition, diversity metrics, and longitudinal clonal tracking.
  • Expertise in bioinformatics and computational biology tools and frameworks commonly used for scRNA-seq and scTCR-seq analysis.
  • Proficiency in Python and R, including development of reproducible analytical pipelines, workflows, and visualizations.
  • Experience working with cloud computing platforms and/or high-performance computing clusters.
  • Solid understanding of statistical methods and their application to single-cell and biomedical data.

Domain Experience
  • Experience in immunology, immune-oncology, or cell therapy research is a strong plus.
  • Ways of Working & Behaviors
  • Team-oriented mindset with the ability to work independently in a fast-paced, collaborative environment.
  • Strong communication skills, with the ability to explain complex analytical concepts to non-experts.
  • Flexibility to adjust priorities and contribute beyond the initial scope as project needs evolve.

The annual base pay (or hourly rate of compensation) for this position ranges from $ 92,252.00 - 138,378.00, 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
04-jun-2026
Closing Date
08-jun-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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