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Bayer Inc.
,
Reading, Berkshire
Genomic Selection & Simulation
Overview
Job Description
Apply now Apply now * Start apply with LinkedIn * * Apply Now * Start * Please wait... Bayer is a global enterprise with core competencies in the Life Science fields of health care and agriculture. Its products and services are designed to benefit people and improve their quality of life. At Bayer you have the opportunity to be part of a culture where we value the passion of our employees to innovate and give them the power to change Genomic Selection & Simulation Data Scientist - Genomic Selection & Simulation Major Tasks * Providing technical contributions in a fast-paced team environment to accelerate our efforts on building an analytics-driven product pipeline * Independently perform statistical analysis, computer programming, predictive modelling and experimental design * Build cross-functional relationships to collaboratively partner with the business and effectively network within the Data Science Community * Using advanced mathematical models, machine learning algorithms, operations research techniques, and strong business acumen to deliver insight, recommendations, and solutions * Developing sustainable, consumable, accurate, and impactful reporting on model inputs, model outputs, observed outputs, business impact, and key performance indicators * Present compelling, validated stories to all levels of organization, including peers, senior management, and internal customers to drive both strategic and operational changes in business * Develops Code: 30-35% Stats/Modeling: 35-50% Domain Knowledge & Consulting Industry Experts: 20-25% Skills * Bachelors 5 yrs + Masters degree with 2+ years experience or PhD * Educational preparation or applied experience in at least one of the following areas: Statistical Genetics, Statistics, Biostatistics, Bioinformatics, Genomics, Computational Biology, Applied Mathematics, Computer Science or other related quantitative discipline. * Demonstrates proficiency in using R, Python or other statistical programming packages * Strong proficiency in predictive modelling -to include comprehension of quantitative genetics theory, modeling/identification strategies and limitations and pitfalls * Experience in successful delivery of valuable analysis through application of domain knowledge; evidence of ability to strong business acumen * 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 Location: United Kingdom : Berkshire : Reading Division: Crop Science Reference Code: 160582 Job Segment: Biotech, Genetics, Agricultural, Consulting, Agronomy, Science, Agriculture, Technology Apply now Apply now * Start apply with LinkedIn * * Apply Now * Start * Please wait...