Bayer is looking to shape the digital strategy for its trial analytics new innovation model and support product development through hypothesis generation, experimental design, and statistical analysis & modeling.
Requirements
- Expert knowledge of theoretical and applied statistics including but not limited to methods in experimental designs, linear mixed models, generalized linear mixed models and Bayesian methods
- Demonstrated computational skills and expert level programming using R
- Python coding also a plus
- Knowledge of ASREML for R or BLUPf90
- Working and theoretical knowledge of the underlying mathematics of the linear model and linear mixed models
- Understand complex statistical analysis methodologies and can implement such methodologies to solve complex problems
- Use basic principles of experimental design and samples size to ensure correctness of trial design during discussions on trial planning with the stakeholders
Responsibilities
- Support product development through hypothesis generation, experimental design and statistical analysis & modeling for lab, controlled environment and field-based experiments for all business units teams in St Louis, Monheim and across the globe
- Independently perform statistical analysis, computer programming, predictive modeling and experimental design
- Use advanced statistical techniques and tools, and strong business acumen to deliver insight, recommendations, and solutions
- Identify limitations and improves upon existing methodologies and find novel applications of existing methodologies, and use a consultative approach while recognizing own technical limitations
- Understand and can explain principles of statistics and machine learning, and can use modern software languages to apply their knowledge to provide solutions
- Understand design principles and uses that understanding to clarify discussion and efforts around the proper uses, analyses, and interpretations of data, especially data from designed experiments
- Ensure correct statistical programming and analysis consistent with the experimental objectives and decision playbooks
Other
- As part of the Smart Operations Data Science team, this role will help shape the digital strategy for Bayer trial analytics new innovation model
- Partnering with colleagues & data science teams across Bayer Crop Science is critical for success
- Provide technical contributions in a fast-paced team environment to accelerate our efforts on building an analytics-driven product pipeline
- Build cross-functional relationships to collaboratively partner with the business and effectively network within the Statistics Community
- Clearly explain technical and non-technical aspects of their work with other statisticians and stakeholders, both orally and in writing
