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Within Bayer, 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

Statistical Scientist 

YOUR TASKS AND RESPONSIBILITIES

The primary responsibilities of this role, Statistical Scientist, are to:    

• Apply statistical reasoning and statistical methods for applications in biology.
• Provide statistical consulting leadership to identify the appropriate experimental design for a study protocol, including sample size computation, and conduct analysis to answer critical study questions.
• Create analysis data sets, statistical summary tables, listings, figures, and statistical reports
• Use advanced statistical techniques and tools, and strong business acumen to deliver insight, recommendations, and solutions.
• Perform inferential analyses, including documentation, to support decision-making and regulatory submissions, publications, and scientific presentations

• Identify limitations, improve upon existing methodologies, finds novel applications of existing methodologies; adopts and applies novel statistical methodologies with an open mind.
• Effectively senses and attends to changing needs of the consumer of the analyses while maintaining scientific integrity.
• Clearly explain technical and non-technical aspects of their work to other statisticians and stakeholders, both orally and in writing.
• Build cross-functional relationships to collaboratively partner with the business and effectively network within the Statistics Community
•  Actively listens and recognizes when the expertise of others should inform decisions. Partners effectively with subject-matter experts to deliver relevant solutions to well-scoped problems.

WHO YOU ARE

 Bayer seeks an incumbent who possesses the following:

Required Qualifications:

• Masters or PhD in Statistics, Biostatistics, or Mathematics with a specialization in Statistics.
• Expertise in wide range of statistical techniques including, but not limited to experimental design, general and generalized linear mixed models, non-linear mixed models, multivariate statistics, non-parametric analysis, and Bayesian statistics.
• Demonstrates intermediate proficiency in computational skills and an intermediate level of experience processing data, conducting statistical analysis, and visualizing results in R and python.
• Strong communication competencies to include presentations and delivery of complex quantitative analyses in a clear, concise, and actionable manner to extended team and small groups of key stakeholders.
• Ability to actively engage with internal partners & external collaborators to align project outcomes with quantitative success measures.

 Preferred Qualifications:

• 2 years of experience
• Educational preparation or applied experience in at least one of the following areas: Molecular Biology, Genetics, Biology, Plant Physiology, Chemistry, Genomics, Computational Biology, or another related field.
• Experience writing and deploying pipelines in a cloud environment

#LI-US

Chesterfield  

Division:

Crop Science 

Reference Code:

826535 

To apply please click on APPLY TO THIS POSITION