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Associate Director of Data Science, Visualization

Location Gaithersburg, Maryland, United States Toronto, Ontario, Canada Job ID R-109950 Date posted 08/10/2021

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 seeks 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 of Data Science, Visualizationto specialize in development of innovative data visualization methods focused on temporal and 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, graph modeling and analytics and reinforcement learning. In this role, you will partner closely with stakeholders and the team to develop novel visualizations of high-dimensional data that enable digital approaches to reduce patient burden in clinical trials and the real-world setting.

This position also works closely with the DH Oncology Team to develop visualizations and perform data modeling to deriving insight from multi-modal data, focusing on interactive and static visualization of high dimensional data. Applications should have a great foundation in statistics and experience with machine learning in a production environment. There is an expectation that this role will also be proficient in general machine learning methodology as well as data visualization.

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!

Main Responsibilities:

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

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

  • 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 work is compliant within Clinical Development.

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

Minimum Requirements:

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

  • 3+ years of proven experience in the biomedical, finance or tech sector field

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

  • Extensive experience demonstrated with data visualization & interactive data visualization (d3.js, DASH, Plotly) for high volume, temporally rich datasets

  • Node.js and other javascript libraries relevant to data visualization

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

  • A portfolio of compelling data visualizations that include performant visualization of high dimensional data

  • Graphic design experience

  • Experience developing data visualization and machine learning first products including time series analysis, forecasting, behavioral analysis

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


  • Ph.D. degree preferred

  • Proficient with cloud platforms: Infrastructure as Code, Kubernetes; AWS experience preferred.

  • Experience within the pharmaceutical industry

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 organization 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.

Next Steps – Apply today!

To be considered for this exciting opportunity, please complete the full application on our website at your earliest convenience – it is the only way that our Recruiter and Hiring Manager can know that you feel well qualified for this opportunity. If you know someone who would be a great fit, please share this posting with them

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorisation and employment eligibility verification requirements.

10001253 E DAAS R&D Oncology (Susan Galbraith (07016555)) (85008610)

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Glassdoor logo Rated four stars on Glassdoor

Great culture, great work assignments, supportive management. Rotation opportunity within the company. They value inclusion and diversity.