Senior Manager, Real-World Data Science (RWDS) - #151918

Description

Senior Manager, Real-World Data Science (RWDS)

About Astellas

At Astellas we are a progressive health partner, delivering value and outcomes where needed.

We pursue innovative science, focussing 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 are guiding 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. At Astellas, Patient Centricity isn’t a buzzword - it’s a guiding principle for action. 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 care-givers, to ensure 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.

The Opportunity

As a Senior Manager of RWDS, you will lead and support analytical research, informing and conducting Real-World Data (RWD) studies across various stages of the project lifecycle.

You will work directly within the RWDS team to execute observational studies for both internal and external stakeholders, while partnering closely with cross-functional teams including Medical Affairs, Development, and Safety and Epidemiology teams. You’ll also collaborate with colleagues across RWDS, Biostatistics, and the broader Quantitative Sciences & Evidence Generation department to enhance our RWD and analytics capabilities.

RWDS is a multidisciplinary team that provides strategic input on real-world evidence (RWE), study design, and statistical and programming support. Team members apply their unique expertise to deliver impactful, decision-shaping insights across a wide range of projects.

Hybrid Working

At Astellas we recognise the importance of balancing your work and home life, so we offer a hybrid working solution allowing 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.

Main Responsibilities

• 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, 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.
  
  

Experience & Qualifications

• A doctorate or master's degree in statistics, data science, pharmacoepidemiology, or a similar discipline.
• Experience in pharmaceutical / Health science industry.
• Experience in analyzing a diverse set of RWD study types (description, association, prediction, causation), including incidence & prevalence, treatment pattern, healthcare resource utilization, cost, outcomes, and effectiveness.
• Proficiency in SQL, and SAS or R required, with working knowledge of Python beneficial.
• Well-versed in data visualization, statistical analysis, and preferably machine learning methodologies.
• Proficiency in planning analyses for non-interventional studies.
• Committed to seeking innovative methodology to generate data-driven insights.
• Ability to work across geographies with globally distributed teams.
• Self-starting performer with the demonstrated capacity to operate both independently and collaboratively in a fast-paced, team-oriented setting.
• Good communication and collaboration skills, and experienced working in cross-functional teams.
  
  

Education

• A doctorate or master's degree in statistics, data science, pharmacoepidemiology, or a similar discipline.
  
  

Additional Information

• This is a permanent, full-time position.
• This position is based in London, United Kingdom.
• This position follows our hybrid working model. Role requires a blend of home and a minimum of 1 days per quarter in our London office. Flexibility may be required in line with business needs. Candidates must be located within a commutable distance of the office.
  
  

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.