Bayer

Statistical Innovation Lead m/f/d

Bayer  •  Basel, CH (Onsite)  •  4 months ago
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Job Description

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.

Statistical Innovation Lead m/f/d

At Bayer, we are committed to driving innovation in clinical statistics and analytics. As a Statistical Innovation Lead, you will leverage advanced statistical methodologies to optimize clinical trial designs and data analytics across various stages of drug development. You will play a pivotal role in innovating through novel study designs, advanced modelling, and simulation techniques, including Bayesian methods and predictive analytics. Your work will directly influence decision-making processes and support quantitative decision-making during drug development and life-cycle management of Bayer products.

YOUR TASKS AND RESPONSIBILITIES

  • Serve as a member of the expertise hub, supporting Study/Project Statisticians and clinical project teams in implementing innovative trial designs and advanced statistical methodologies;
  • Address complex challenges in drug development and life-cycle management using advanced modelling and simulation techniques, including Bayesian methods and predictive analytics;
  • Apply innovative approaches to utilize various data sources, enhancing data insights and gaining efficiencies for agile data-driven decision-making;
  • Drive the development and implementation of novel study designs, including adaptive and Bayesian model-based designs, and advanced data analytic tools using state-of-the-art statistical methodologies;
  • Provide innovative statistical and methodological approaches to optimize clinical trial designs, leveraging AI, machine learning, and advanced statistical methods to support real-world evidence and personalized medicine strategies;
  • Represent the Statistical Innovation group to internal and external stakeholders regarding statistical and innovative aspects of clinical development programs and products;
  • Maintain an external network through active conference participation and collaboration with academic institutions, industry groups, and Health Authorities to stay at the forefront of statistical innovation;
  • Provide training to Statisticians, clinical project teams, and internal stakeholders on advanced statistical methods and novel study designs for knowledge sharing and large-scale adoption.

WHO YOU ARE

  • University degree (PhD preferred) in Biostatistics, Statistics, Mathematics, or a related field;
  • At least eight years of experience as a Statistician or in an applied quantitative methods role, with significant time in pharma, biotech, or a similar sector;
  • High level of expertise in applying innovative statistical methodologies to a broad range of study designs, including adaptive designs and advanced modelling techniques, with working knowledge of Bayesian methods;
  • Embrace and role model the VACC (Visionary/Architect/Catalyst/Coach) behaviours in leadership, with mentoring and coaching capabilities across diverse cultural environments;
  • Outstanding interpersonal, leadership, and communication skills, with fluent English and strong presentation skills;
  • Ability to work independently and collaboratively as required;
  • Thorough knowledge of the pharmaceutical industry and understanding of the clinical drug development process, including regulatory requirements governing clinical trial data;
  • Excellent knowledge of statistical programming languages (SAS, R, Python) and Bayesian software (BUGS, JAGS, Stan), including experience building RShiny applications;
  • Demonstrated leadership skills in leading teams of Statisticians and representatives from other functional clusters;
  • Broad expertise in multiple fields relevant to clinical development;
  • High affinity for internal and external collaboration, with a commitment to external visibility and a strong scientific publication record.

This job posting will be open for applications until 19th February. Thank you!


YOUR APPLICATION

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.

Location:

Switzerland : Basel-City : Basel

Division:

Pharmaceuticals

Reference Code:

861570

Bayer

About Bayer

Bayer is a global enterprise with core competencies in the life science fields of healthcare and nutrition. We design our products and services to serve the most essential human needs of health and nutrition. At the same time, we strive to address some of the world’s biggest challenges presented by a growing and aging global population.

At Bayer, we’re committed to driving sustainable development and generate a positive impact with our businesses.

Through the power of science, we’re pioneering new possibilities that advance life for all of us. That means reimagining how we care for ourselves and one another by empowering everyday health, improving approaches to patient care, and finding better ways to nourish our communities around the world.

Data Privacy Statement & Imprint: https://www.bayer.com/en/glob-li-bayer-en-dps-imprint

Industry
Chemicals & Materials
Company Size
10,000+ employees
Headquarters
Leverkusen, DE
Year Founded
Unknown
Website
bayer.com
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