07 nov
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Bayer Crop Science
|
Laza
07 nov
Bayer Crop Science
Laza
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'. 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 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) 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 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 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 Good knowledge of statistical programming languages (including SAS and / or R) Fluency in English This is your opportunity to tackle the world's biggest challenges with us: Maintaining our health, feeding growing populations and slowing the rate of climate change.
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.
📌 Lead Statistician (Laza)
🏢 Bayer Crop Science
📍 Laza