Job description

At AstraZeneca, we work together to deliver innovative medicines to patients across global boundaries. We make an impact and find solutions to challenges. We do this with integrity, even in the most difficult situations, because we are committed to doing the right thing.

The Digital Health Oncology Data Science Team aims to transform the patient experience and clinical trial process. We will do so by deploying digital solutions to clinical trials and in the real world to decrease patient burden. The approach the team takes will incorporate clinical trial data, Real World Evidence (RWE) data, clinical free text, medical imaging, Patient Reported Outcomes (PROs), and device data to define new digital approaches to addressing the pressing problems in Oncology.

The team is looking for an Associate Director Data Scientist to specialize in development of innovative machine learning methods focused on multi-modal datasets including clinical trial data, RWE, imaging data, genomic data, behavioral data and other biomedical data sources to address patient burden. Applications include forecasting, time series analysis, Natural Language Processing (NLP), graph modeling and analytics and reinforcement learning. This role will work closely with stakeholders and the team to develop innovative digital approaches to reduce patient burden in clinical trials and the real-world setting. This Data Scientist will also work closely with the DH Oncology Team to develop novel approaches to modeling and deriving insight from multi-modal data. Applications should have a strong foundation in statistics and experience with machine learning in a production environment.

Examples of projects the team works on include machine learning models for developing digital biomarkers, patient risk stratification for clinical trials, new algorithms for survival analysis, approaches to quantitatively analyze wearable data, linking of medical imaging data with ‘omics and longitudinal outcomes to identify and/or validate new drug targets, and much more!

Typical Accountabilities

  • Provides advanced data science expertise to AstraZeneca projects and recommends data science solutions.

  • Delivers advanced data science solutions to AstraZeneca projects, appropriately communicating with non-technical stakeholders.

  • Works within established frameworks to deliver a variety of tasks that support projects in meeting their objectives.

  • Independently keeps own knowledge up to date and learns from senior team members, proposing appropriate training courses for personal development.

  • Reviews working practices and ensures non-compliant processes are escalated

  • Ensures own work is compliant within Clinical Development.

  • Collaborate in a multidisciplinary environment with world leading clinicians, data scientists, biological experts, statisticians and IT professionals.

Education, Qualifications, Skills and Experience


  • M.Sc. degree in rigorous quantitative science (such as mathematics, computer science, engineering) or have demonstrated an outstanding track-record of industry experience with the desired data science methodologies

  • Practical software development skills in standard data science tools: Python, Agile, Code versioning (bitbucket/git), UNIX skills, familiarity working in cloud environment (AWS preferred)

  • Cloud compute experience including SysOps and advanced experience with Kubernetes and machine learning product architecture, infrastructure as code, containerization of applications

  • ML Ops experience: model tracking, model governance, multiple models in different production contexts

  • Experience developing machine learning first products including timeseries analysis, forecasting, behavioral analysis

  • Knowledge of range of mathematical and statistical modelling techniques and drive to continue to learn and develop these skills.

  • Data visualization & interactive data visualization (interactive dashboards w/ DASH & static visualization)

  • Communication, business analysis, and consultancy; ability to present compelling cases to stakeholders and operate dynamically to identify solutions

  • Minimum 3 plus years of industry experience (biomedical, finance or tech sector)


  • Ph.D. degree in rigorous quantitative science (such as mathematics, computer science, engineering)

  • Experience within the pharmaceutical industry

  • Advanced machine learning models: transformer-based NLP models, reinforcement learning, GNNs, state-of-the-art timeseries & forecasting models

  • Demonstrated history of creating custom, compelling data visualization for multi-modal data in state-of-the-art libraries (d3.js)

  • Front-end development skills to support data visualization

This role can be located at our Gaithersburg, MD; Waltham, MA; or Toronto Canada site

If this sounds like the type of organization where you would like to grow your career and make a real difference to patients then we would like to hear from you; apply today!

Why AstraZeneca?

At AstraZeneca when we see an opportunity for change, we seize it and make it happen, because any opportunity no matter how small, can be the start of something big. Delivering life-changing medicines is about being entrepreneurial - finding those moments and recognizing their potential. Join us on our journey of building a new kind of organisation to reset expectations of what a bio-pharmaceutical company can be. This means we’re opening new ways to work, pioneering groundbreaking methods and bringing unexpected teams together. Interested? Come and join our journey.

So, what’s next!

Are you already imagining yourself joining our team? Good, because we can’t wait to hear from you.

Where can I find out more?

  • Our Social Media, Follow AstraZeneca on LinkedIn

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