Senior Manager, Real-World Data Science (RWDS)

Astellas Pharma Inc.; United Kingdom; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

A leading company in the healthcare sector is seeking a Senior Manager for Real-World Data Science to lead analytical research and conduct studies that positively impact patient outcomes. Candidates will work collaboratively across teams in a dynamic, hybrid environment, focusing on innovative solutions in data science.

Qualifications

• Doctorate or master's degree in a relevant field.
• Experience in the pharmaceutical or health sciences industry.
• Proficiency in SQL, SAS or R; Python knowledge is a plus.

Responsibilities

• Program and analyze observational studies using in-house RWD.
• Contribute to study documents like protocols and analysis plans.
• Advise on data access partnerships as a subject matter expert.

Skills

SQL

SAS

R

Communication

Teamwork

Education

Doctorate or master's in statistics, data science, pharmacoepidemiology

Job description

Job Title: Senior Manager, Real-World Data Science (RWDS)

Company:

Astellas

Location:

United Kingdom, London (Hybrid working model)

Job Category:

Other

EU Work Permit Required:

Yes

Job Reference:

4069ffc083af

Job Views:

5

Posted:

25.06.2025

Expiry Date:

09.08.2025

Job Description:

About Astellas: At Astellas, we are a progressive health partner dedicated to delivering value and outcomes. We focus on innovative science, especially in areas with high patient need, including rare and under-served diseases. We work closely with patients, healthcare professionals, and regulatory authorities to ensure patient-centric development and access to therapies.

The Opportunity: As a Senior Manager of RWDS, you will lead analytical research and conduct Real-World Data (RWD) studies throughout various project stages. You will collaborate with internal teams, including Medical Affairs, Development, and Safety, to execute observational studies and enhance RWD and analytics capabilities within a multidisciplinary team.

Main Responsibilities:

1. Program and analyze observational studies using in-house RWD.
2. Contribute to study documents such as protocols, analysis plans, and reports.
3. Ensure efficient planning, execution, and reporting of analyses.
4. Advise on data access partnerships as a subject matter expert.
5. Maintain best practices for data analysis methods and tools.
6. Collaborate with cross-functional teams across geographies.

Experience & Qualifications:

• Doctorate or master's in statistics, data science, pharmacoepidemiology, or similar.
• Experience in the pharmaceutical or health sciences industry.
• Proficiency in SQL, SAS or R; Python knowledge is a plus.
• Experience with diverse RWD study types and data visualization.
• Strong communication and teamwork skills.

Additional Information: This is a permanent, full-time role based in London, UK, following a hybrid working model. Candidates must be within commuting distance of London.

We are an equal opportunity employer, welcoming applicants regardless of race, color, religion, sex, national origin, disability, veteran status, or other protected characteristics.