Statistical Scientist
About Astellas:
At Astellas we can offer an inspiring place to work and a chance to make your mark in doing good for others.
Our expertise, science and technology make us a pharma company. Our open and progressive culture is what makes us Astellas. It’s a culture of doing good for others and contributing to a sustainable society.
Delivering meaningful differences for patients is our driving force. We all have a significant opportunity to make that difference, working locally in the areas we know best, whilst drawing inspiration from the different insights and expertise we have access to globally and from our innovative, external partners.
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.
Our ethos is underpinned by the Astellas Way, comprising five core values: patient focus; ownership; results; openness and integrity.
We are proud to offer an inclusive and respectful working environment that fosters collaboration and ownership.
Our aspiration is to bring the best brains together, to provide them with world-leading tools and resources and a unique structure that fosters real agility and entrepreneurial spirit.
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.
