Data Scientist

Senior Manager, Real World Data Scientist

At Astellas we are a progressive health partner, delivering value and outcomes where needed. We pursue innovative science, focusing initially on the areas of greatest potential and then developing solutions where patient need is high, often in rare or under‑served disease areas and in life‑threatening or life‑limiting diseases and conditions. We work directly with patients, doctors and health care professionals on the front line to ensure patient and clinical needs guide our development activities at every stage.

Our global vision for Patient Centricity is to support the development of innovative health solutions through a deep understanding of the patient experience. We believe all staff have a role to play in creating a patient‑centric culture and integrating an awareness of the patient into our everyday working practices, regardless of our role, team or division. We work closely with regulatory authorities and payers to find new ways to ensure access to new therapies.

We deliver the latest insights and real‑world evidence to inform the best decisions for patients and their caregivers, ensuring the medicines we develop continue to provide meaningful outcomes. Beyond medicines, we support our stakeholder communities to drive initiatives that improve awareness, education, access and ultimately standards of care.

Do you want to be part of an inclusive team that works to develop innovative therapies for patients? Every day, we are driven to develop and deliver innovative and effective new medicines to patients and physicians. If you want to be part of this exciting work, you belong at Astellas!

We are hiring a Real‑World Data Scientist to join our Real‑World Data Science (RWDS) team. As a Senior Manager of RWDS, you will be an analytic researcher informing and conducting Real World Data (RWD) studies at any time in the drug lifecycle. Work directly within the RWDS team to execute observational studies for internal and external consumption and partner closely with Development, Medical Affairs, and Pharmacovigilance/Pharmacoepidemiology colleagues in their research.

Additionally, you will collaborate closely with others in RWDS, Biostatistics and the broader Quantitative Sciences & Evidence Generation department to enhance our RWD and analytics offerings. RWDS is multidisciplinary and provides RWE strategic input, study design, statistical and programming support to projects. Team members apply their unique knowledge, skills and experience in teams to deliver decision‑shaping real‑world evidence.

At Astellas we recognise the importance of balancing your work and home life, so we offer a hybrid working solution that allows time to connect with colleagues in person at the office alongside the flexibility to work from home, optimising the most productive work environment for you to succeed and deliver.

• Execute (program and analyze) observational studies using (mostly in‑house) RWD.
• Write, review, or contribute to key study documents to ensure optimal methodological & statistical presentation. These documents include protocols, analysis plans, tables and figure (TLF) specifications, study reports and publications.
• Ensure efficient planning, execution and reporting of analyses.
• Advise as subject matter expert in specific data access partnerships.
• Follow and participate in the upkeep of best practices related to methods, tools/macros, and standards for data and data analysis.
• Collaborate with RWDS and Biostatistics colleagues and cross‑functional teams in Development, Medical Affairs and Pharmacovigilance.

• Proven pharmaceutical industry hands‑on experience in analyzing RWD, including major EHR and claims databases from the US, UK, EU, and/or Japan.
• Experience in analyzing a diverse set of RWD study types (description, association, prediction, causation), including incidence & prevalence, treatment pattern, healthcare resource utilisation, cost, outcomes, and effectiveness.
• Proficiency in SQL, and SAS or R required, with working knowledge of Python beneficial.
• Well‑versed in data…