Senior Data Scientist - R&D Oncology
$102K-$172K (Glassdoor est.)
At AstraZeneca,we work together to deliver innovative medicines to patients across global boundaries. We make an impact and findsolutionsto challenges. We do this with integrity, even in the most difficult situations,because we are committed to doing the right thing.

Job Description

The Machine Learning and AI team in AstraZenecas Oncology Data Science & Analytics group is where we develop and apply sophisticated algorithms and techniques to solve the hardest problems in oncology drug discovery and development. The team uses their scientific, quantitative, and problem-solving skills to work on a broad range of challenges across the whole oncology portfolio, working collaboratively with other scientists across a range of disciplines to scope, define, and deliver projects that both advance the state of the art in data science and accelerate the delivery of innovative medicines to patients.

As a Senior Data Scientist you will play a key role on the front line in this rapidly growing team working to extract insight from complex biomedical data. You will develop your leadership skills and apply and develop your expertise in rigorous quantitative data science to provide solutions to a variety of data science problems, researching, recommending and delivering novel methodologies to solve the problems that matter to the oncology pipeline.

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 analyse 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

Essential
MSc degree in rigorous quantitative science (such as mathematics, computer science, engineering)
Practical software development skills in standard data science tools (such as R or python)
Knowledge of range of mathematical and statistical modelling techniques, and drive to continue to learn and develop these skills.
Minimum 2+ years of experience or post doctoral.
Desirable
PhD degree in rigorous quantitative science (such as mathematics, computer science, engineering)
Experience within the pharmaceutical industry
Communication, business analysis, and consultancy.
AstraZeneca
3.9
AstraZeneca
