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Astrazeneca Data Scientist Jobs (NOW HIRING)

AstraZeneca

Agentic AI Scientist

Gaithersburg, MD · On-site

If so, an exciting opportunity awaits you at AstraZeneca! We are looking for Associate Principal AI Data Scientists eager to utilize their expertise in these advanced technologies to revolutionize ...

AstraZeneca

Agentic AI Scientist

Gaithersburg, MD · On-site

If so, an exciting opportunity awaits you at AstraZeneca! We are looking for Associate Principal AI Data Scientists eager to utilize their expertise in these advanced technologies to revolutionize ...

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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$37.5K

$122.7K

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How much do astrazeneca data scientist jobs pay per year?

As of Aug 1, 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.

How do Data Scientists at AstraZeneca typically 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.

What are the key skills and qualifications needed to thrive as an AstraZeneca Data Scientist, and why are they important?

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.

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 job categories do people searching Astrazeneca Data Scientist jobs look for? The top searched job categories for Astrazeneca Data Scientist jobs are:
Astrazeneca Data Scientist jobs near you
Infographic showing various Astrazeneca Data Scientist job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 8% Internship, 50% As Needed, 5% Full Time, and 36% Temporary. Highlights an 85% Physical, 11% Hybrid, and 4% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Agentic AI Scientist

AstraZeneca

Gaithersburg, MD • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

AstraZeneca rating

8.4

Company rating: 8.4 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

20th of 86 rated pharmaceutical

Job description

Are you a driven Data Scientist with a robust foundation in traditional data science methods and a passion for Agentic AI, and human-in-the-loop (HITL) multi-agent systems? If so, an exciting opportunity awaits you at AstraZeneca!
We are looking for Associate Principal AI Data Scientists eager to utilize their expertise in these advanced technologies to revolutionize our drug development processes. In the Pharmaceutical Technology and Development (PT&D) department, you will be a key player in transforming molecules into groundbreaking medical treatments. PT&D leads the charge in developing cutting-edge synthetic routes, drug formulations and delivery technologies, ensuring our products are effective, safe, and of the highest quality.
Your role involves contributing data science expertise into cross functional global pharmaceutical development projects in support of transforming the way we deliver medicines to patients. You'll play a pivotal role in shaping our AI strategy and driving the co-development of sophisticated HITL multi-agent systems.
We are hiring two candidates for this position, and the roles will be based at our dynamic site in Durham (USA).
Work Modality: Hybrid (3 days office and 2 remote)
Accountabilities:
  • Drive innovation in agentic AI, multi-agent systems, and digital twins, exploring new methodologies and applications.
  • Design, implement, and optimize algorithms for autonomous decision-making, coordination, and policy learning among agents and digital twins using techniques like Markov Decision Processes (MDPs), Partially Observable MDPs (POMDPs), and multi-agent reinforcement learning (MARL).
  • Evaluate agent performance in the context of decision making, collaboration, competition, uncertainty.
  • Collaborate with cross-functional teams ensuring knowledge transfer to IT engineering teams for IT solution builds and deployment.
  • Keep pace with industry advancements by reviewing academic papers and attending conferences. Publish findings in peer-reviewed journals and represent the company at scientific forums.
  • Communicate technical concepts and results to technical and non-technical audiences.

Essential skills/Experience:
  • PhD in computer science, data science, artificial intelligence, machine learning or related fields.
  • At least 3 years of experience in Deep Learning and ML
  • Excellent coding skills in languages such as Python, R.
  • Hands-on industrial experience designing multi-agent patterns, digital twins and experience with agentic AI design patterns, reinforcement learning.
  • Extensive industrial experience with AI and ML frameworks like TensorFlow, PyTorch,
  • Hands-on experience with GenAI orchestration frameworks such as LangGraph, CrewAI
  • Hands-on experience with reinforcement learning libraries such as OpenAI Gym, Ray RLlib, or Stable Baselines.
  • Hands-on industrial experience with applied machine learning domains such as deep learning, NLP, GenAI.

Desirable skills/experience:
  • Contributions to open-source projects. If you meet these criteria, please highlight merged GitHub PRs in your application.
  • Strong publication record in the field of AI.
  • Experience designing multi-agent systems in the pharmaceutical sector.
  • Experience delivering machine learning projects with applications in pharmaceutical development, chemical engineering or chemistry.
  • Experience with one or more of the following applied machine learning domains such as transfer learning, federated learning, few/zero shot learning, meta learning, explainable AI.

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.
AstraZeneca is a place where change is embraced, and new solutions are trialed with patients and business in mind. Here, technology is a key lever for delivering medicines quickly, affordably, and sustainably. Our diverse workforce is united by curiosity, sharing learnings to scale fast. Be part of a digitally-enabled environment that impacts all parts of the business-from robotic process automation to machine learning for quality batches-while contributing to society and the planet.
Ready to make a difference? Apply now to join our team!
Date Posted
09-jul-2026
Closing Date
08-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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