Are you ready to be part of the future of healthcare? Can you think big, be bold, and harness the power of data and AI to tackle longstanding life sciences challenges? Then Evinova, a new health tech business part of the AstraZeneca Group might be for you! The Human-centered AI team at Evinova aims to transform the patient experience and clinical trial process by embedding data science and AI in digital solutions serving clinical trials. We are looking for a Senior Data Scientist to specialize in the development of novel digital endpoints using data science, statistical learning, and innovative machine learning methods on multi-modal datasets.

Accountabilities:
As a Senior Data Scientist, you will work with complex multimodal clinical datasets, conduct analysis using data science and machine learning techniques, research and implement novel methods in signal processing, optimization, machine learning, data analysis, data visualization. You will build data and analysis pipelines to deliver clinical insights and reusable capabilities. You will communicate results to technical and non-technical stakeholders at multiple levels and collaborate in a multidisciplinary environment with world leading clinicians, data scientists and statisticians, biological experts, clinical trial delivery teams, and engineering professionals.

Essential Skills/Experience:
- M.Sc. degree in rigorous quantitative science (such as mathematics, computer science, physics, engineering) or have demonstrated an outstanding track-record of industry experience (2+ years) with the desired data science methodologies with a B.Sc. in a relevant field.
- Demonstrated experience with and a sound understanding of a variety of statistical and machine learning methods.
- Experience with wearable device data, signal processing, time series analysis.
- Practical software development skills in standard data science tools: Python, R, Git, UNIX skills, familiarity working in cloud environment and high-performance computing clusters.
- Knowledge of range of mathematical and statistical modelling techniques.
- Communication, business analysis, and consultancy; ability to present compelling cases to stakeholders and operate dynamically to identify solutions. Ability to work effectively within a team.

Desirable
- Ph.D./M.Sc. degree in rigorous quantitative science (such as mathematics, physics, computer science, engineering)
- Advanced 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, state-of-the-art timeseries & forecasting models.
- Experience within the life sciences industry.

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.

At AstraZeneca's Oncology R&D division, we are actively embracing and investing in technology. We harness digital, data and analytics to reimagine the future of healthcare and deliver improved outcomes to patients beyond core medical. We are at the forefront of creating new medicines and building thoughtful global partnerships internally and externally. Our work is shaping the future by improving and speeding up portfolio development, improving the patient experience and outcomes at clinical trials. We celebrate our inclusive approach, thoughtfully partnering internally and externally to share diverse perspectives. Our collaboration drives our innovation, powering us to unleash our creativity and bring modern approaches to the everyday.

Are you ready to deliver better patient outcomes by pioneering digital? Join us today!

Date Posted

Closing Date

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 authorization and employment eligibility verification requirements.