Statistical Programmer

Location

Addlestone, Surrey | United Kingdom

Job description

Statistical Programmer

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.

About this job:

As part of our continued success and growth in the UK, Astellas are currently recruiting for a number of Statistical Programmers, ranging from Associate to Senior Manager.

As one of our Statistical Programmers, you will form part of our Data Science Division and Statistical & Real-World Data Science (SRS) team, who designs development programs to 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 team is accountable for all statistical aspects globally.

So, if you would like to join an organisation that aims to stand on the forefront of healthcare change, turning innovative science into VALUE for patients and be recognised for your unique skills, experience, and perspective within Statistical Programming, then please read on…

This is an exciting time to join Astellas as we gear up to expand our team in the UK. We are looking for diverse talents and self-motivated individuals with excellent verbal and written communications skills, who are eager to make a difference.

Key activities are noted below:

• Work 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, generate compelling evidence using clinical trials or real-world data (RWD)​ to ensure successful and timely regulatory approval, pricing, reimbursement, and patient access.
• Produce 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 of course differ depending on the seniority of the role but should broadly cover the below:

• Educated to degree level or higher (or equivalent) in statistics, mathematics, or related field.
• Relevant programming experience 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 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.
• PK/PD programming or analysis experience is highly desirable.

Additional information:

• This 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.

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