Senior Data Scientist, Enterprise Products - Evinova

Location: Barcelona (on-site)

Evinova delivers market-leading digital health solutions that are science-based, evidence-led, and human experience-driven. Thoughtful risks and quick decisions come together to accelerate innovation across the life sciences sector. Be part of a diverse team that pushes the boundaries of science by digitally empowering a deeper understanding of the patients we help. Launch pioneering digital solutions that improve the patients’ experience and deliver better health outcomes. Together, we have the opportunity to combine deep scientific expertise with digital and artificial intelligence to serve the wider healthcare community and create new standards across the sector. 

The team is looking for a Senior Data Scientist to specialize in applying innovative data science, machine learning and genAI methods to augment decision making in clinical trial planning, monitoring and execution. This role will sit within the Enterprise Products team which aims to optimize clinical trial processes to ensure that the trial is designed in a way that is optimal for the patient population with a high probablity of success.  The team also support the monitoring of the portfolio with forecasting and advanced analytics to provide operational insight.

The Senior Data Scientist will work closely with subject matter experts, stakeholders and other team members to develop novel approaches that support the development of innovative products. Applicants should have a strong foundation in data science, and experience with machine learning in a production environment. It's an exciting time for someone with these skills who can use their experience to help transform our products to directly impact the healthcare industry.

Typical Accountabilities

• Works with complex multimodal clinical and operational datasets. Conducts analysis using data science and machine learning techniques.
• Builds data and analysis pipelines to deliver clinical insights and reusable capabilities.
• Researches and implements novel methods in optimization, machine learning, generative AI, data analysis, data visualization.
• Communicates results to technical and non-technical stakeholders at multiple levels.
• Independently keeps own knowledge up to date and learns from senior team members, proposing appropriate training courses for personal development.
• Collaborates in multidisciplinary cross-functional teams with world leading product managers, designers, engineers, clinicians, data scientists, biological experts, statisticians and IT professionals.

Essential

• B.Sc. in a relevant field (such as mathematics, computer science, engineering) with an outstanding track-record of industry experience (2+ years) of delivering end to end data science projects in an industry setting.
• Demonstrated experience and a sound understanding of a variety of statistical and machine learning methods and standard statistical/ML development practices and drive to continue to learn and develop these skills.
• Practical software development skills in standard data science tools: Python, Git, familiarity working in cloud environment and high-performance computing clusters.
• Strong communication and teamwork skills.

Desirable

• Ph.D./M.Sc. degree in rigorous quantitative science (such as mathematics, 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 in data-led solution delivery and software lifecycle development practices including Agile/Scrum and CI/CD within a product team.
• Experience within the life sciences industry.

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.