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Astrazeneca Data Scientist Jobs (NOW HIRING)

AstraZeneca

Scientist, Data Science

Waltham, MA · On-site

$91K - $136K/yr

At AstraZeneca, you'll have the opportunity to make a significant impact on the future of health ... Data Visualization: Generate high-quality visualizations and reports to communicate findings to the ...

AstraZeneca

Scientist, Data Science

Waltham, MA · On-site

At AstraZeneca, you'll have the opportunity to make a significant impact on the future of health ... Data Visualization: Generate high-quality visualizations and reports to communicate findings to the ...

AstraZeneca

Scientist, Data Science

Waltham, MA

$91K - $136K/yr

At AstraZeneca, you'll have the opportunity to make a significant impact on the future of health ... Data Visualization: Generate high-quality visualizations and reports to communicate findings to the ...

The Predictive Index

Staff Data Scientist

Westwood, MA · On-site

$170 - $220/hr

... AstraZeneca, and Bosch--trust PI to help them hire top talent, design winning teams, and develop ... The Opportunity Data science isn't a feature on this team. It's the foundation, and you'll be the ...

AstraZeneca

Senior Scientist - Evinova

Gaithersburg, MD · On-site

$98K - $135K/yr

Through our application of science-based expertise, evidence-led rigour, and human insight, our ... the AstraZeneca Group. Digital health, the point at which healthcare, technology, data and ...

AstraZeneca

Senior Scientist - Evinova

Gaithersburg, MD · On-site

$98K - $135K/yr

Through our application of science-based expertise, evidence-led rigour, and human insight, our ... the AstraZeneca Group. Digital health, the point at which healthcare, technology, data and ...

Sonar

Data Scientist, Marketing Analytics

Austin, TX · On-site

Industry giants like Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor ... and data scientists covering other domains. What you will do * Drive marketing decisions with ...

Sonar

Data Scientist, Marketing Analytics

Austin, TX · On-site

Industry giants like Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor ... and data scientists covering other domains. What you will do * Drive marketing decisions with ...

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Astrazeneca Data Scientist information

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$122.7K

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How much do astrazeneca data scientist jobs pay per year?

As of Aug 24, 2026, the average yearly pay for astrazeneca data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What does an AstraZeneca data scientist do?

An AstraZeneca Data Scientist analyzes large sets of healthcare and pharmaceutical data to derive insights that help advance drug discovery, development, and patient outcomes. They use statistical modeling, machine learning, and data visualization techniques to interpret complex biological, clinical, and operational data. Data Scientists at AstraZeneca collaborate closely with researchers, clinicians, and other data professionals to support decision-making and innovation, ultimately contributing to the development of new medicines and therapies.

What skills and qualifications are needed to thrive as an AstraZeneca data scientist?

To thrive as an AstraZeneca Data Scientist, you need a strong background in statistics, data analysis, and machine learning, often supported by a degree in computer science, mathematics, or a related field. Familiarity with programming languages like Python or R, as well as experience using data visualization tools and cloud-based analytics platforms, is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you translate complex data into actionable insights for cross-functional teams. These skills are vital for driving data-informed decisions in a highly regulated pharmaceutical environment where accuracy and collaboration are critical.

How do AstraZeneca data scientists collaborate with cross-functional teams to drive impactful projects?

At AstraZeneca, Data Scientists regularly work alongside colleagues from diverse backgrounds, such as biostatistics, clinical development, IT, and business strategy. Collaboration often involves translating complex data findings into actionable insights for non-technical stakeholders, participating in multidisciplinary project meetings, and co-developing solutions that align with both scientific and business goals. This teamwork fosters innovation and ensures that data-driven strategies are integrated throughout the drug development lifecycle. Strong communication and project management skills are valuable assets for success in these collaborative environments.
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Astrazeneca Data Scientist jobs near you
Infographic showing various Astrazeneca Data Scientist job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Scientist, Data Science

AstraZeneca

Waltham, MA • On-site

$91K - $136K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago

AstraZeneca rating

8.4

Company rating: 8.4 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

23rd of 86 rated pharmaceutical

Job description

We are seeking a highly motivated Scientist to join a newly formed, dynamic team within early oncology R&D. The successful candidate will leverage their data science expertise in mining large datasets to drive our efforts in target identification, mechanism of action (MOA) studies, and biomarker strategy development, with a particular focus on analyses related to the function and aging of the immune system.
At AstraZeneca, you'll have the opportunity to make a significant impact on the future of healthcare while working in a collaborative environment at the cutting edge of research. The ideal candidate will thrive in this setting, contributing to our growth trajectory as we build our evolving team.
Key Responsibilities:
  • Execute and Maintain Pipelines: Process and analyze large-scale biobank datasets, human population data, and in-vitro biological data using established analysis pipelines.

  • Analytical Support: Apply analytical methods and machine learning algorithms to help identify potential therapeutic targets and biomarkers.

  • Cross-Functional Collaboration: Partner with wet-lab scientists to analyze experimental results for target identification and Mechanism of Action (MOA) studies.

  • Data Visualization: Generate high-quality visualizations and reports to communicate findings to the project team.

  • Strategic Contribution: Provide high-quality data and computational insights that contribute to the development of biomarker strategies.

  • Team Participation: Actively participate in team meetings, presenting data-driven insights to help the group meet project milestones.

  • Continuous Learning: Stay current with the latest developments in data science and bioinformatics tools.

Qualifications:
  • Education: Ph.D. in Bioinformatics, Computational Biology, Data Science, Epidemiology, or a related field (0-2 years post-graduate experience); or MS with 2-4 years of experience; or BS with 4+ years of relevant experience.

  • Data Experience: Minimum 2 years of experience working with large-scale biological or population datasets, preferably including experience analyzing immune system aging/function within the context of human and/or mouse data.

  • Coding Proficiency: Strong proficiency in Python or R.

  • Technical Knowledge: Solid understanding of statistical analysis and foundational machine learning techniques.

  • Genomics Foundation: Hands-on experience with NGS data analysis (e.g., RNA-seq, DNA methylation, ChIP-seq, or ATAC-seq).

  • Multi-omics Interest: Experience with, or a strong desire to learn, proteomic data analysis and multi-omic data integration.

  • Operational Skills: Excellent problem-solving skills, attention to detail, and the ability to manage multiple tasks in a fast-paced environment.

  • Communication: Ability to clearly present data and technical workflows to a multidisciplinary team.

Desired Skills and Attributes:
  • Prior experience or familiarity with biomarkers of immune system aging/function.

  • Prior experience or internship in the pharmaceutical or biotechnology industry.

  • Prior experience running large-scale association testing (e.g., genome-wide association studies [GWAS], epigenome-wide association studies [EWAS], proteome-wide association studies).

  • Familiarity with methods in statistical genetics (e.g., Mendelian randomization, fine mapping, colocalization).

  • Familiarity with machine learning analysis architectures (e.g., random forest, gradient boosting, transformers).

  • Familiarity with public biological databases (e.g., GTEx, TCGA), epidemiological cohort data (e.g., TOPMed cohorts), or biobanks (e.g., UK Biobank, FinnGen).

  • Ability to apply integrated generative protein design pipelines - from target-conditioned backbone generation through sequence design to computational fold validation - to support the development of novel therapeutic biologics with optimized specificity and developability properties.

  • Working knowledge of computational histology pipelines incorporating modern deep learning approaches - including self-supervised and weakly supervised learning (MIL, DINO) and histopathology foundation models (e.g. UNI, CONCH) - to enable scalable, label-efficient classification of complex tissue phenotypes.

  • Familiarity or prior experience with agentic AI in the context of analysis code pipeline development and biological analysis.

  • Evidence of scientific contribution through publications, posters, or GitHub repositories.

As AstraZeneca continues to put patients at the forefront of our mission, we are excited for our move to Kendall Square/Cambridge in 2026. Find out more information here: Kendall Square Press Release
Ready to join us on this mission? Apply now!
Competitive remuneration and benefits apply
We offer a competitive Total Reward program including a market driven base salary, bonus and long-term incentive. We have a generous paid time off program and a comprehensive benefits package.
The annual base pay for this position ranges from $91,008.80 - $136,513.20. 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
17-Aug-2026
Closing Date
28-Aug-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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About AstraZeneca

Sourced by ZipRecruiter

AstraZeneca is a global, science-led, patient-focused biopharmaceutical company that focuses on the discovery, development and commercialization of prescription medicines for some of the world's most serious diseases. But we're more than one of the world's leading pharmaceutical companies. A place built on courage, curiosity and collaboration - we make bold decisions driven by patient outcomes. Empowered to lead at every level, free to ask questions and take smart risks that write the next chapter for our pipeline and Oncology team. Make a meaningful impact that brings real benefits to society. By applying your knowledge of data, you will help to redefine our industry and ultimately save lives. Work with experts who share a common goal: to accelerate the potential of medicines and the science of tomorrow.

Industry

Pharmaceutical product wholesalers and pharmaceutical and medicine manufacturing

Company size

10,000+ Employees

Headquarters location

Cambridge, Cambridgeshire, GB

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