DescriptionStatistical ScientistAbout 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:As a member of the extended Statistical & Real-World Data Science (SRS) team, the primary purpose of the Statistical Scientist is to contribute to the design, analysis, and reporting of clinical trials/observational studies under the supervision of a more senior Statistician for early and late phase of development. As a Statistical Scientist/Exploratory Statistician will be validating the execution of common statistical technique for routine works in an established area such as clinical/ observational studies, MA tactic, Biomarker & PK/PD Analyses. 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. Key Activities for this role:
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: Experience in applying statistical methods in biomedical research, pharmaceuticals, CRO, academia or the 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.) 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/Qualifications: Master's degree in Biostatistics, Statistics, or equivalent. Additional Information: This is a permanent full-time position based in the UK, Ireland and Netherlands. This position follows our hybrid working model. Role requires a blend of home and a minimum of 1 day per quarter in our UK, Ireland, and Netherlands 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.
