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.
Computational Statistician for Pharmaceutical Innovation Cluster (m/f/d)
We are seeking a highly skilled and experienced Principal Statistician (m/f/d) for computational statistics to join our Statistical Innovation cluster. In this role, you will leverage technology to implement advanced statistical methodologies and strategic operational enhancements aimed at optimizing clinical trial designs and data analytics throughout various stages of drug development. You will play a pivotal role in innovating through the application of novel study designs, advanced modeling, and simulation techniques, including Bayesian methods and predictive analytics as well as the computational implementation of these.
YOUR TASKS AND RESPONSIBILITIES
Serve as a member of an expertise hub, supporting Study/Project Statisticians and clinical project teams in the implementation of innovative trial designs and advanced statistical methodologiesAddress complex challenges in drug development and life-cycle management using advanced modeling and simulation techniques to optimize clinical trial designs and data analyticsUtilize various data sources to enhance clinical study designs and operational efficiencies for agile, data-driven decision-makingDrive the development and implementation of novel study designs, including adaptive designs and Bayesian model-based designs, as well as advanced data analytic tools (e.g., R-Shiny apps)Provide innovative statistical approaches to optimize clinical trial designs, leveraging artificial intelligence and machine learning to support real-world evidence and personalized medicine strategiesRepresent the Statistical Innovation cluster in clinical development programs and maintain an external network through participation in conferences and collaborations with academic institutions and industry expertsProvide training on advanced statistical methods and novel study designs for knowledge sharing and large-scale adoptionEnsure compliance with regulatory requirements governing clinical trial data (e.g., FDA regulations, ICH guidelines)
WHO YOU ARE
University degree (PhD or MSc) in a relevant field such as Biostatistics, Statistics, Mathematics, or a related discipline, with strong emphasis on coding/computer scienceLong-term experience as a Statistician or in an applied quantitative methods role in the pharmaceutical or biotech sectors; machine learning expertise is a plus High level of expertise in innovative statistical methodologies across a broad range of study designs, including adaptive designs and advanced modeling techniques, with working knowledge of Bayesian methodsStrong leadership capabilities, embracing and modeling the VACC (Visionary/Architect/Catalyst/Coach) behaviors, along with mentoring and coaching skills across diverse cultural environmentsOutstanding interpersonal, leadership, and communication skills; fluent in English with strong presentation abilitiesThorough knowledge of the pharmaceutical industry and understanding of the clinical drug development process, including regulatory requirements governing clinical trial data, clinical data structures and programming with data (e.g., SAS, R, Python)Proficiency in object oriented languages (e.g. C++ and Java), including CUDA/GPU-programming, and extensive experience in building, maintaining and updating R Shiny applications, Github and web hosting Set-up/maintenance of a dedicated R computing environment for Bayer’s D.I.G. approachExperience with Bayesian software (e.g., BUGS, JAGS, Stan)Proficient in English with excellent communication skills
The position is available for both full-time and part-time employment.
WHY BAYER?
Our benefits package is flexible, appreciative, and tailored to your lifestyle, because: What matters to you, matters to us!
We ensure your financial stability through a competitive compensation package, consisting of an attractive base pay and our annual bonus.Whether it’s hybrid work models or part-time arrangements: Whenever it is possible, you will have the flexibility to work how, when and where it is best for you.Your family is a top priority. We offer loving company daycare centers at multiple locations, support in finding childcare, time off for the care of elderly or dependent family members, summer camps for children, and much more.We support your professional growth by providing access to learning and development opportunities, training programs through the Bayer Learning Academy, development dialogues, as well as coaching and mentoring programs.We promote health awareness and opportunities for selfcare through various measures, such as free health checks with the company doctor and our health platform #machtfit.We embrace diversity by providing an inclusive work environment in which you are welcomed, supported, and encouraged to bring your whole self to work.
Ever feel burnt out by bureaucracy? Us too. That’s why we’re changing the way we work - for higher productivity, faster innovation, and better results. We call it Dynamic Shared Ownership (DSO). Learn more about what DSO will mean for you in your new role here https://www.bayer.com/en/strategy/strategy
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YOUR APPLICATION
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. You have a voice, ideas and perspectives and we want to hear them. Because our success begins with you. Be part of something big. Be Bayer.
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.
Location: Germany : Berlin : Berlin || Germany : North Rhine Westfalia : Wuppertal-Aprath
Division: Pharmaceuticals
Reference Code: 851224