About Astellas:
At Astellas, we 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 Life Sciences 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 minds together, to provide them with world-leading tools and resources and a unique structure that fosters real agility and entrepreneurial spirit.
The Opportunity
As an organisation, we aim to stand on the forefront of healthcare change and turn innovative science into VALUE for patients. As an employee, we aim to recognise you for your unique skills, experience and perspective within Statistical Programming.
As a member of our global Data Science team, that we are expanding into the UK, you will design development programs that allow data-driven decision-making. From candidate nomination through to commercialization and in close partnership with the Primary Focus Divisions, Medical Affairs and Early Development, the Statistical Programming team is accountable for all statistical aspects globally.
To note, we have several positions available, ranging from Associate Manager to Associate Director.
Key Activities for this role:
- Working either within Oncology Statistical Programming, Cell & Gene Therapy and Biopharma Statistical Programming or Exploratory Statistics.
- Using state-of-the-art methodology and the most innovative approach, to generate compelling evidence using clinical trials or real-world data (RWD) to ensure successful and timely regulatory approval, pricing, reimbursement, and patient access.
- Producing high-quality, on-time assigned deliverables (such as datasets and tables/listings/figures (TLFs), taking an active role in submission, post-hoc, and/or ad hoc activities.
Essential Knowledge & Experience:
- Your knowledge and experience will differ depending on the seniority of the role and your background but should broadly cover the below:
- Relevant programming experienced gained within the pharmaceutical or a related industry and exposure to working with vendors.
- SAS and preferably one or more statistical/data science programming languages such as R (training can be provided) or Python.
- Exposure to working with clinical datasets, statistical methodology, and CSR/submission deliverables.
- An understanding of the data science lifecycle and process flow (e.g., ETL, data quality, statistical data analysis, machine learning, data randomization.
- Comprehension of clinical data standards (CDISC), TLFs, and submission guidelines
- Knowledge of study documents such as Protocol, SAP, TLF specs, and data specification.
- The ability to read, analyse, and communicate large and small amounts of data efficiently including teaching/explaining data-driven results to others.
Preferred Knowledge & Experience:
- Oncology experience is desirable however not essential for all teams
Educations/Qualifications:
- An MSc, PhD or equivalent in Statistics, Mathematics or a related scientific field is highly desirable however a bachelor's degree combined with work-based experience within Statistics would also be considered.
Other Information:
- 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.
