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:
We have an exciting opportunity for a Statistical Programming Lead to join our new hub Data Science team in the UK. You will work within our established Data Science/Statistical & RWD division on a global scale alongside over 200 team members internationally.
This is an exciting time to join Astellas as we expand our global team. As an organization that aims to stand at the forefront of healthcare change, we are looking for self-motivated individuals to join us, could this be you?
Key Activities for this role:
- You will be responsible for programming vendor oversight for assigned compounds and contributing to functional/departmental infrastructure projects.
- You will be working on clinical datasets, statistical methodology, and CSR/submission deliverables.
- You will actively participate in the development and implementation of programming tools for Statistical Programming infrastructure projects.
- There will be the opportunity to work on other studies, with the wider team.
Essential Knowledge & Experience:
- Relevant experience as a lead programmer for a drug development program gained within the pharmaceutical or a related industry and exposure to working with vendors.
- Responsible for the high-quality, on-time development and execution of statistical analysis and reporting deliverables (e.g., safety and efficacy analysis datasets SDTM/ADAMs, tables, listings, figures (TLF)),
- SAS and preferably one or more statistical/data science programming languages such as R (training can be provided) or Python.
- 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:
- Diverse Therapeutic Area experience would be desirable.
Educations/Qualifications:
- Bachelor’s or master’s in statistics, mathematics, or equivalent.
Additional information:
- The is a permanent, full-time position based in the UK.
- This position follows our hybrid working model. Role requires a blend of home and a minimum of 1 day per quarter in our Addlestone office. Flexibility may be required in line with business needs. Candidates should 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.