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Associate Director Data Scientist, Clinical Trial Research - Evinova
AstraZeneca Gaithersburg, MD

Associate Director Data Scientist, Clinical Trial Research - Evinova

Gaithersburg, MD
Expired: February 19, 2024 Applications are no longer accepted.
  • Full-Time
Job Description
Company Info
Evinova is a health-tech business, accelerating the delivery of better health outcomes by propelling the life sciences sector forward in digital health, from the inside. Through our application of science-based expertise, evidence-led rigour, and human experience-driven insight, our digital solutions are deliberately designed so that everyone can reach better health outcomes together. Evinova is a health-tech business within the AstraZeneca Group.

Associate Director of Data Science specializes in the development of novel digital endpoints in late stage clinical trials using data science, statistical learning, and innovative machine learning methods on multi-modal datasets including clinical data, real world evidence, imaging, wearables, and other biomedical data sources.

The Digital Health Oncology R&D Human-centered AI and Machine Learning Team strives 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 data, clinical free text, medical imaging, patient reported outcomes, and device data to define new digital approaches to addressing the pressing problems across the AZ R&D portfolio.

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 Human-centered AI team in Digital Health Oncology R&D is looking for an Associate Director of Data Science to specialize in the development of novel digital endpoints using data science, statistical learning, and innovative machine learning methods on multi-modal datasets including clinical data, real world evidence, imaging, wearables, and other biomedical data sources to address patient burden. This role will sit within the Digital Therapeutics, Diagnostics and Endpoints team with a heavy emphasis on interacting with the Therapeutic Areas, clinical trial teams and other collaborators in the product development cycle. This Data Scientist will also work closely with the Digital Health R&D subject matter experts and partners to develop novel approaches that support the development of patient and HCP-facing digital products. Applicants should have a solid base in statistics and machine learning, detailed knowledge of the clinical trials space in the pharmaceutical industry and experience maintaining a portfolio of machine-learning enabled projects.

Examples of projects the team works on include machine learning models for developing digital biomarkers, digital therapeutics, computer vision diagnostics and clinical decision support tools, 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!

  • Drives projects with hands-on data science, analysis, or mathematical modeling.
  • Delivers sophisticated data science solutions to AstraZeneca projects, selecting analytical methods with appropriate complexity given a clinical or business challenge.
  • Engages technical and non-technical collaborators within the wider organization to frame sophisticated challenges, structure analytical solutions, and communicate results.
  • 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 raised
  • Collaborates in a multidisciplinary environment with world leading clinicians, data scientists, biological experts, statisticians and IT professionals.

  • B.Sc. in a relevant field (such as mathematics, computer science, engineering) with 4+ years of industry experience (or equivalent experience in academic research).
  • Demonstrated experience with and a sound understanding of a variety of statistical and machine learning methods and standard statistical/ML development practices and strive to continue to learn and develop these skills.
  • Practical software development skills in standard data science tools: Python, Agile, code versioning, UNIX skills, familiarity working in cloud environment and high-performance computing clusters.
  • Knowledge of range of mathematical and statistical modelling techniques and aim to continue to learn and develop these skills.
  • Communication, business analysis, and consultancy; ability to present compelling cases to collaborators and operate dynamically to determine solutions. Ability to work optimally within a team.

  • Advance degree in rigorous quantitative science (such as mathematics, computer science, engineering)
  • Sophisticated statistical and machine learning models such as hierarchical mixed bayesian models, transformer-based NLP models, reinforcement learning, deep learning models that span CNN/RNN/LSTM, GNNs, constrained optimization, innovative time series & forecasting models.
  • Experience within the life sciences industry.

Why Evinova (AstraZeneca)?

Evinova draws on AstraZeneca's deep experience developing novel therapeutics, informed by insights from thousands of patients and clinical researchers. Together, we can accelerate the delivery of life-changing medicines, improve the design and delivery of clinical trials for better patient experiences and outcomes, and think more holistically about patient care before, during, and after treatment. We know that regulators, healthcare professionals, and care teams at clinical trial sites do not want a fragmented approach. They do not want a future where every pharmaceutical company provides its own, different digital solutions. They want solutions that work across the sector, simplify their workload, and benefit patients broadly. By bringing our solutions to the wider healthcare community, we can help build more unified approaches to how we all develop and deploy digital technologies, better serving our teams, physicians, and ultimately patients. Evinova represents a unique opportunity to deliver meaningful outcomes with digital and AI to serve the wider healthcare community and create new standards for the sector. Join us on our journey of building a new kind of health-tech business to reset expectations of what a bio-pharmaceutical company can be. This means we're opening new ways to work, pioneering cutting-edge 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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Date Posted

Closing Date
21-Feb-2024Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form.

AstraZeneca requires all US employees to be fully vaccinated for COVID-19 but will consider requests for reasonable accommodations as required by applicable law.

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