Statistical Scientist

Statistical Scientist

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:

You will be joining a newly created department and will work alongside a well-established team of Statistical & Real-World Data Science (SRS) members who designs Astellas’ development programs to allow data-driven decision-making. Using state-of-the-art methodology and the most innovative approach, SRS generates compelling evidence using clinical trials or real-world data (RWD) to ensure successful and timely regulatory approval, pricing, reimbursement, and patient access.

As a member of the extended statistical team, the primary purpose of the Manager is to contribute to the design, analysis, and reporting of clinical trials/observational studies under the supervision of a more senior Statistician.

Key activities:

• Performs statistical analyses in accordance with protocol, SAP, good statistical practice, and available regulatory guidelines.
• Reviews all outputs for validity and completeness. QC inferential statistical analyses.
• Monitors timelines and progress, leads and organizes review meetings, such as TLF review meetings, and classification meetings.
• Contributes to clinical study reports, other reports or publications by providing statistical interpretation of the results.

Essential Knowledge & Experience:

• The right person for this role will must be experienced in Statistics or Biostatistics in a pharmaceutical, CRO or related healthcare industry.
• Experience in applying statistical methods in the biomedical research, pharmaceuticals, CRO, academia or healthcare industry.
• Hands-on programming experience within SAS, including data manipulation and analysis of a wide array of data sources/types. Working knowledge of R and/or Python is preferred.
• Understanding of the DS lifecycle and process flow (e.g., ETL, data quality, statistical data analysis, machine learning, data randomization process, etc.)
• Excellent communication and interpersonal skills.
• Ability to identify and implement new ideas and methodologies, learn new techniques, and adjust to new approaches quickly.
• Ability to work independently to achieve results with a high degree of accuracy and attention to detail.

Education:

• Educated to minimum Master’s level or equivalent in Biostatistics, Statistics, or related scientific field.

Additional information:

• The is a permanent full-time position based in the UK.
• We offer a hybrid working pattern, requiring one day per quarter in the office (Addlestone), blended with a collaborative video environment that supports working from home.

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.