Statistical Science Director

Location: Barcelona - Spain (3 days working from the office and 2 days working from home)

Introduction to role

Do you perform at your best when problem-solving in a creative environment? Does your interest and expertise lie in the field of statistics? Would you like to play a key role in making life-changing medicines accessible to patients around the world? Then join AstraZeneca!

AstraZeneca is a global, science-led, patient-centric biopharmaceutical company that focuses on the discovery, development, and commercialization of prescription medicines for some of the world’s most serious and debilitating diseases. More than being one of the world’s leading pharmaceutical companies, we are an organization that prioritizes scientific rigor, innovation, and breaking boundaries.

To meet the needs of our growing pipeline and the external environment, AstraZeneca is investing in a new Centre of Excellence to support our Health Technology Assessment (HTA) efforts around the world. Based in our global Barcelona hub, we have exciting opportunities for skilled and daring statisticians to work with the following therapy areas: Cardiovascular, Renal & Metabolism; Respiratory & Immunology; and Vaccines & Immune Therapies.

This team will be part of a multi-disciplinary group, including payer evidence and market access specialists, health economic modelers, and programmers. By applying your expertise in statistics you will be helping us to demonstrate the value of our products and shape the payer environment by creating and delivering highly valued market access solutions that unlock the potential of our life-changing medicines for patients around the world.

Accountabilities

• With the growing use of HTA, including the upcoming Joint Clinical Assessment in Europe, you will play an important role in shaping what we do and the ways of working.

• Support market access strategies by providing critical input regarding appropriate statistical approaches to address specific questions of interest for payers and other collaborators.

• Independently lead the development of plans to analyze internal or external information in collaboration with cross-functional teams.

• Evaluate and compare results from internal studies, and external studies, by applying indirect comparison methodology in accordance with existing guidelines.

• Implement, interpret, and present analysis results to a range of cross-functional audiences.

• Act as a technical expert in interactions with external suppliers and team members.

• Prioritize the ability to think strategically and make informed choices based on quantitative analysis.

• Take responsibility for analysis design and results interpretation.

• Provide mentoring to more junior staff.

• Present at internal forums to increase awareness of statistical methodology.

Essential Skills/Experience

• MSc or PhD or equivalent experience in Biostatistics, Statistics, or Mathematics (with a meaningful statistical component)

• Experience from health technology assessment submissions

• Programming expertise in R and/or SAS

• Proven ability to deliver according to strict timelines

• Demonstrated experience from clinical trials (e.g., familiarity with CDISC) or other aspects of pharmaceutical development

• Publication experience and/or experience of presenting at external meetings

• Experience and understanding of health technology assessment and reimbursement process

• Experience of planning and conducting indirect treatment comparison including network meta-analysis and pairwise adjusted indirect comparison approaches following existing guidelines

• Understanding of survival modelling

• Experience of writing and reviewing statistical analysis plans or payer analysis plans

• Ability to communicate complex statistical concepts in an understandable way to colleagues with different areas of expertise

Desirable Skills/Experience

• Extensive experience from the pharmaceutical industry and market access strategies

• Deeper understanding of health economic models

• Experience of analysis of health utility data including mapping and value set application

• Experience from teaching or tutoring statistics or mathematics

• Demonstrated ability to work autonomously and mentor more junior staff members

Date Posted

Closing Date

AstraZeneca embraces diversity and equality of opportunity.  We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.  We believe that the more inclusive we are, the better our work will be.  We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.  We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.