Senior Statistician in Statistical Innovation

Senior Statistician in Statistical Innovation

Arbetsbeskrivning

Senior Statistician in Statistical Innovation

Do you have a passion for developing and aiding implementation of innovative statistical approaches and methods in clinical studies? Are you up for the challenge to impact a company that follows the science and turns ideas into life changing medicines? If yes, we welcome you to join AstraZeneca!

At AstraZeneca, we put patients first and strive to meet their unmet needs worldwide, while applying leading edge approaches to science across many business areas. Working here means being entrepreneurial, thinking big and working together to make the impossible a reality. If you are swift to act, confident to lead, willing to collaborate, and curious about what science can do, then you're our kind of person.

We are recruiting a Senior Statistician to join our growing Statistical Innovation group. Our main focus is providing statistical methodology support for all phases of clinical development for AZ's Cardiovascular, Renal & Metabolism and Respiratory & Immunology divisions together with specific targeted support for the Oncology division and the newly acquired Alexion division of AZ which specializes in medicines to treat rare diseases.

In this role, you will belong to the Early Biometrics & Statistical Innovation (EB&SI) department, where our data-centric focus helps us work efficiently and creatively to bring the right medicines to the right patients. Our teams use their expertise in statistics and programming to address drug development objectives and reduce uncertainty in product development, driving better business decisions with quantitative reasoning. As part of the Data Science & AI team, you'll use technology at the forefront of science in a creative environment, with the scope to develop new statistical ideas and apply them in your work.

What you'll do

Joining a team of statistical methodology experts, you will provide key input as you work to find solutions to problems at critical stages in the drug development cycle. This is exciting and technically challenging work in a dynamic and constantly changing landscape. Your key focus will be on producing pragmatic solutions, often within a tight time scale where the emphasis will be to deliver first, then refine and develop your solutions thereafter.

You will contribute to one of the following statistical areas:

*

Design of early and late phase clinical studies: including group sequential and adaptive designs using both frequentist and Bayesian approaches.
*

Methods to analyse data collected in real-time, Estimands, Missing Data, Subgroup and Biomarkers.

You will also provide expert consultancy on key issues for fellow statisticians working in our therapeutically aligned statistics groups, as well as medical scientists and other key roles across the business. This will involve participating in strategic activities such as capability build projects, which can directly impact improvements to the way clinical trials are designed and analysed in AstraZeneca. As well as developing and implementing new methodology, interacting with external scientists and regulators, through publications, presentations and cross-industry collaborations. There will also be a focus to proactively identify new areas where Statistical Innovation can add value, developing collaborative relationships with the external scientific/academic community.

Essential for the role

*

MSc or PhD in Statistics or a related discipline
*

Experience of independent academic research and/or clinical drug development including knowledge of statistical methodological methods used in the design and analysis of early and late Phase clinical trials
*

Strong knowledge of programming in R and/or SAS
*

An urge to apply your scientific competence on practical problems, for the benefit of patients

Desirable for the role

*

A track record of research and methodological development in Statistics, supported by scientific publications
*

Knowledge / research experience in the development of statistical methodology related to the analysis and interpretation of safety data, observational studies, meta-analysis, non-linear and mixed effect models.
*

Broad awareness of statistical issues against the evolving scientific, regulatory & payer landscape

We truly believe that everyone contributes with a unique set of competence. Your curiosity and passion for personal development combined with support from colleagues, mentors and leaders, will ensure you maximise your skills, abilities and contribution.

The position is placed at AstraZeneca's vibrant R&D site in Gothenburg, Sweden.

Why AstraZeneca?

This is the place to make an impact. Here we ensure everyone can reach their full potential, perform at their best and make a valued contribution to the enterprise.

Our spectacular campus in Gothenburg is one of AstraZeneca's three strategic science centers. The site is home to over 2,500 employees, from 50 different nationalities. And the site itself has been designed with collaboration in mind. From the Coffee Lab to exercise areas, we've built a series of environments where innovation can happen.

We offer competitive salaries and excellent benefits, such as extra paid Holiday, Private Medical Benefit, on-site Work Out and much, much more.

So, what's next!

If you're curious to know more, please connect with David Wright via +44 7469408678

We welcome your application, no later than November 11th, 2021.

We will be inviting relevant candidates to interviews continuously through the application time.

#DataAI

Kontaktpersoner på detta företaget

AstraZeneca

AstraZeneca

AstraZeneca

AstraZeneca

AstraZeneca

AstraZeneca

AstraZeneca

AstraZeneca

AstraZeneca

AstraZeneca

Sammanfattning

  • Arbetsplats: AstraZeneca
  • 1 plats
  • Tills vidare
  • Heltid
  • Fast månads- vecko- eller timlön
  • Publicerat: 14 oktober 2021
  • Ansök senast: 11 november 2021

Besöksadress

Pepparedsleden 1
None

Postadress

43183
0181, 43183

Liknande jobb


Doktorand i matematik eller matematisk statistik

15 maj 2024

Postdoktor inom Kombinatorik

Postdoktor inom Kombinatorik

14 maj 2024

30 april 2024

Next step in your career?

Next step in your career?

3 april 2024