At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.
Lead Statistician m/f/d
YOUR TASKS AND RESPONSIBILITIES
- Takes the statistical lead for a project in the represented Statistics Sub-Cluster, for example, in the role of a Project Statistician
- Leads virtual teams of statisticians and/or representatives from other functions
- Contributes to the development and evolution of project standards
- Provides statistical and methodological consultation and contributes to multi-disciplinary teams within or across companies
- Responds to inquiries from health authorities and other internal or external partners
- Keeps abreast of regulatory and methodological issues and ensures implementation of these in the respective teams
- Influences decision making processes during drug development and/or life-cycle management by use of appropriate statistical methodology (e.g. simulations, meta-analyses or modelling approaches)
- Develops and implements innovative statistical methodology for the respective field of responsibility, if appropriate in cooperation with academic experts
- Your work will be an integral part of drug development and life-cycle management impacting the planning, design, analysis and reporting of clinical studies, projects and programs in order to achieve regulatory approval, scientific acceptance as well as successful product launch and maintenance
- You will contribute to drug research, the development of new drugs, the approval of new drugs by health and reimbursement authorities, and the life-cycle management of marketed drugs
- You will facilitate risk management decisions within the company through the development and implementation of innovative statistical methodology
WHO YOU ARE
- PhD or MS in Biostatistics, Statistics or Mathematics
- 4+ years of experience as statistician with significant time spent in the Pharma, Biotech, or similar sector
- Thorough knowledge of the pharmaceutical industry including understanding of clinical drug development process and/or life-cycle management and associated documents and regulations
- Experience in leading teams
- Embrace and role model leadership in a cross-functional set-up without formal authority (as stipulated by Bayer’s VACC behaviors) as well as mentoring/coaching capabilities across diverse cultural environments, in a DSO (Dynamic Shared Ownership) environment
- Experience in multiple fields relevant for his/her statistics sub- function
- Excellent interpersonal, leadership and communication skills and ability to work independently and collaboratively
- Good knowledge of statistical programming languages (including SAS and / or R)
- Fluency in English
This position can be located in Basel, Switzerland or Espoo, Finland.
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Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination. Bayer is committed to providing barrier-free access and support-facilities for individuals with disabilities - during the application process and beyond. Applicants with disabilities are encouraged to request any support / equipment they may need via the contact information below. |
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Location:
Switzerland : Basel-City : Basel
Division:
Pharmaceuticals
Reference Code:
861015
Job Segment:
R&D, Statistics, Clinical Research, Medical Research, Pharmaceutical, Research, Data, Healthcare, Science