Statistical Scientist - #149421

Description

Statistical Scientist

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.

The Opportunity

You will act as a Study Statistician / Medical Affairs Statistician (MA) / Exploratory Statistician / Regional Statistician Lead (RSTATL) or Lead Product Statistician (LPS) for routine works in an established area (clinical/ observational studies, MA tactic, Biomarker & PK/PD Analyses or local project).

You will be working on biomarker analysis in this role and support validating the execution of complex common techniques, offering training/consulting to other statisticians, or researching solutions for novel situations.

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

• Contributes to the efficient planning, execution and reporting of clinical/observational studies, post hoc analyses, HTA analyses, regional analyses, PK-PD and Biomarkers analyses.
• Translates scientific questions into statistical terms and is responsible for the quality and timeliness of corresponding statistical deliverables.
• Independently provides statistical advice related to study design, selection of endpoints, population, PK/PD or biomarkers for routine studies.
• Authors or reviews protocol, statistical analysis plans (Biomarker, PRO, HTA), Care Report Form, Data Validation Plans, tables listings and figure (TLF) specifications, statistical analyses, clinical study reports, and associated publications (to check the correct interpretation of the data.
• Collaborates and communicates effectively with the other Data Science functions; in particular the position provides Statistical Programmers with study details, timelines, specifications, efficacy analyses algorithms. Close partners, the statistician and programmer communicate frequently and update each other and other team members on progress of individual deliverables.
  
  

Essential Knowledge & Experience

• Substantial years of experience in applying statistical methods in biomedical research, Pharma, CRO, Academia or Healthcare industry or in providing statistical direction in these areas.
• Good knowledge and skills in SAS required, knowledge of R preferred.
• Good understanding of medical literature, clinical, regulatory, and commercial landscape.
• Ability to understand, implement, and explain complex statistical methodology.
  
  

Education/Qualifications

• PhD or M.S in Biostatistics, Statistics or related scientific field or equivalent.
  
  

Additional Information

• This is a permanent, full-time position.
• This position is located in United Kingdom.
• This position follows our hybrid working model. Role requires a blend of home and minimum once a quarter in Addlestone office. Flexibility may be required in line with business need. 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.