General Information

Job Advert Title
Statistical Programmer
Location
United Kingdom
Function/Business Area
Missing req details TBC
Department
Statistical & RWD Science
Employment Class
Permanent

Description

Statistical Programmer

About Astellas:

At Astellas we are making treatments that matter to people.

We are tackling the toughest health challenges putting the patient at the heart of every move we make.

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 have developed ground-breaking, innovative medicines in immunology, oncology and urology. Our medicines are extending and saving the lives of cancer patients, making transplantation possible and improving the quality of life for those living with conditions where needs are often overlooked.

We take a patient-focused approach, that allows us to convert brilliant early science into treatments and solutions that directly improve and save patients’ lives.

From lab to clinic to patient, we focus on the most promising science, empower the best talent to pursue it, and develop life-changing solutions alongside the best partners.

The Opportunity:

As a Statistical Programmer, you will be responsible for the high-quality, on-time development and execution of statistical analysis and reporting deliverables (e.g., safety and efficacy analysis datasets ADAMs, tables, listings, figures (TLF).

You will be actively participating in the development and implementation of programming tools for Statistical Programming infrastructure projects.

Hybrid Working:

At Astellas we recognise that our employees enjoy having balance between their professional and home lives. We are proud of our hybrid approach which empowers you to have flexibility on whether to work from home or in the office.

Key Responsibilities:

  • Identify and communicate project goals, timelines, and milestones.
  • Identify project interdependencies and potential constraints.
  • Assign roles and hold stakeholders accountable to meet project outcomes on time and within budget.
  • Ability to read, analyze, and communicate large and small amounts of data effectively including teaching/explaining data-driven results to others.
  • Statistical modelling, data mining, descriptive statistics, and other data analysis techniques.

Essential Knowledge & Experience:

  • Substantial experience in clinical data standards ADAMS, TLFs, and submission guidelines.
  • Hands-on programming experience within one or more statistical/data science programming languages (e.g., R, SAS, or Python). This includes writing code to manipulate data and analyze a wide array of data sources/types.
  • Knowledge of the data science lifecycle and process flow (e.g., ETL, data quality, statistical data analysis, machine learning, data randomization.
  • Knowledge of study documents such as Protocol, SAP, TLF specs, and data specification.

Preferred Knowledge & Experience:

  • Oncology experience is desirable.

Education/Qualifications:

  • Bachelor’s or master’s in statistics, mathematics, or related field or equivalent.

Additional Information:

  • This is a permanent, full-time position
  • Position is based in the United Kingdom
  • This position follows our hybrid working model. Role requires a blend of home and minimum once a quarter in our Addlestone 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.

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