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Astrazeneca Bioinformatics Jobs (NOW HIRING)

Lead bioinformatic and data science efforts focused on singlecell RNAseq (scRNAseq) data, including experimental design support, data processing, quality control, and downstream analysis. * Apply ...

Lead bioinformatic and data science efforts focused on singlecell RNAseq (scRNAseq) data, including experimental design support, data processing, quality control, and downstream analysis. * Apply ...

Key Responsibilities Lead bioinformatic and data science efforts focused on singlecell RNAseq (scRNAseq) data, including experimental design support, data processing, quality control, and downstream ...

Key Responsibilities Lead bioinformatic and data science efforts focused on singlecell RNAseq (scRNAseq) data, including experimental design support, data processing, quality control, and downstream ...

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 7, 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:
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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.
Executive Director, Data Science and Bioinformatics (CVRM)

Executive Director, Data Science and Bioinformatics (CVRM)

AstraZeneca

Boston, MA

Other

Medical, Dental, Vision, Retirement, PTO

Posted 18 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

We harness digital, data science & AI to fast-forward our research. Making sure work born in a lab can make a real difference. Everyday, impacting patients' lives across the world.

About the role Provide global Therapy Area and Data and AI leadership and expertise spanning enterprise enablement and R&D bioinformatics within CVRM, bringing deep expertise in at least one domain and the ability to lead across a multidisciplinary ecosystem. Develop and deliver multi-year Data & AI strategies that accelerate target discovery, translational insights, biomarker strategies, and clinical development, while aligning with AZ's cross-functional business agenda. Lead the conversion of multi-modal data (genomics, transcriptomics, proteomics, metabolomics, single-cell, imaging, EHR/RWD, wearable/digital biomarkers) into decision-grade insights, through multidisciplinary teams and scalable capabilities through multidisciplinary teams and scalable capabilities.

Operates globally with enterprise scope; sit on the Early CVRM Leadership Team and contribute materially to Early CVRM global AI strategy Accountabilities Global strategy and portfolio alignment: Define and implement long-term Data & AI strategies for Early CVRM R&D within an enterprise framework; ensure alignment with global cross-functional priorities, program goals, and portfolio governance forums. R&D bioinformatics leadership: Lead the analytical approach from discovery through development-target identification/validation, disease segmentation, mechanistic and predictive modelling, biomarker discovery, and responder identification-linking insights to clinical trial optimization. AI/ML advancement and governance: Champion responsible, fit-for-purpose AI/ML, Drive adoption of advanced AI/ML approaches (e.g

transformer-based models, agentic workflows), leveraging internal and external expertise. Data foundations and standards: Shape enterprise data strategy and principles (FAIR etc.) in partnership with data engineering and platform teams. Global operational leadership: Translate strategy into operational plans and delivery across regions; set the annual operating budget and ensure timely delivery of outcomes within approved levels

Drive continuous improvement, automation and digitalisation with a high-performance culture. Cross-functional and translational partnership: Oversee and guide development of predictive and mechanistic models and ML approaches to identify potential responders and optimize study designs, to generate novel endpoints and biomarkers for clinical studies, and drive disease state understanding. Oversee analytical support for exploratory analyses of interventional clinical trial datasets and analyses of observational/mechanistic/experimental medicine clinical study datasets to derive insights on efficacy, safety, and biomarker correlations related to targets/drug programs in the Early CVRM portfolio.

External leadership and partnerships: Represent AZ with academia, consortia, CROs/technology partners, and at conferences; identify and execute strategic partnerships that accelerate scientific and enterprise outcomes. Leadership: Build, mentor, and inspire a multidisciplinary team (bioinformatics, computational biology, data science/ML, data engineering). Performance manage senior managers, plan succession, and coach senior talent Essential requirements: Education: PhD (preferred) or equivalent advanced degree inbioinformatics, computational biology, statistics, computer science, applied mathematics, biomedical engineering, or related field Leadership: +8 years' experience leadingbioinformatics/data science organizationsin biotech/pharma, including people leadership, org design, hiring, and coaching Domain depth: Demonstrated impact inCVRM-relevant biology(e.g., obesity, diabetes, heart failure, CKD, MASH, atherosclerosis) and/or deep translational/clinical application of omics and real-world data

Technical breadth: Strong background in one or more of the following areas, with working knowledge across others: multi-omics analysis, statistical methods, ML, and modern computational practices (e.g., cloud/HPC, workflow orchestration, versioning, and scalable data processing). Experience with or exposure to contemporary transformer-based AI architectures Drug development mindset:Experience influencing decisions across the R&D lifecycle, including target validation, biomarker development, patient stratification, and clinical endpoint strategy. Communication & influence: Proven ability to communicate complex analyses to executive and cross-functional audiences; strong stakeholder management and collaboration skills

Compliance awareness: Familiarity with data privacy, ethical AI considerations, and regulated environments (as applicable to clinical data and patient information). Desirable requirements Experience in complex global organizations Scientific credibility:Track record of high-impact contributions (e.g., publications, patents, major program milestones, platform launches, or widely adopted methods). When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines

In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible.

We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. The annual base pay for this position ranges from $ 258 157,60 - 387 236,40 Annual USD.

Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition, our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive program. Benefits offered include a qualified retirement program [401(k) plan]; paid vacation and holidays; paid leaves; and, health benefits including medical, prescription drug, dental, and vision coverage in accordance with the terms and conditions of the applicable plans.

Date Posted 19-maj-2026 Closing Date 09-juni-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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