Precision Genomics Data Science Co-Op

• Work in the Precision Genomics Analytics team as an individual contributor with other Data Analysts/Data Scientists
• Provide technical contributions in a fast-paced team environment to accelerate our efforts on building an analytics-driven product pipeline
• Use advanced mathematical models, machine learning algorithms, and/or operations research techniques, and strong business acumen to deliver insight, recommendations, and solutions
• Develop sustainable, consumable, accurate, and impactful reporting on model inputs, model outputs, observed outputs, business impact, and key performance indicators
• Form partnerships with cross functional teams in the company, including internal R&D, engineering and IT teams
• 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.

• Currently pursuing a Masters or PhD in a relevant discipline (Data Science, Machine Learning, Electrical/Industrial Engineering, Statistical Genetics, Statistics, Biostatistics, Bioinformatics, Genomics, Computational Biology, Applied Mathematics, Computer Science or other related quantitative discipline)
• Demonstrates intermediate proficiency in computational skills and level of experience building data models using R, Python or other statistical and/or mathematical programming packages
• Strong proficiency in predictive modeling-to include comprehension of theory, modeling/identification strategies and limitations and pitfalls
• Intermediate proficiency in machine learning algorithms and concepts
• 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.

• 1-2 years of experience with machine learning modeling and working with genomics data
• Strong analytical and problem-solving skills.

Bayer