Functional Genomics Data Science Co-Op

• Collaborate with lead scientists to execute, analyze, and interpret high throughput molecular biology experiments to test gene expression predictions via machine learning and/or statistical modeling;
• Document research plan, methods, results and data analysis;
• Prepare and communicate reports and summaries in written and/or verbal form to key stakeholders and broad audiences across department group;
• Collaborate on preparation of sequencing libraries;
• Follow established operational standards including best practices, safety protocols and compliance policies;
• Prioritize and coordinate work within a larger team and across functional groups;
• Use machine learning and/or statistical modeling to predict gene expression patterns based on genome-wide datasets from diverse germplasm;
• Deliver analysis at scale in cloud computing environments.

• Enrolled within a university in the US, pursuing a MS or PhD degree in Biology, Molecular Biology, Biotechnology, Bioinformatics, or related field;
• Experience with large sequence dataset analysis, statistics, Python/R;
• Experience working in a UNIX environment;
• Experience with machine learning;
• Derive key insights from recent scientific literature and apply to new datasets.

• Ability to design, plan and execute experiments, analyze data, and interpret results;
• Detail oriented and able to work independently and collaboratively;
• Excellent written and verbal communication skills;
• Excellent ability to clearly present data and results to a broad audience;
• Passion and creativity for solving problems;
• Ability to expand knowledge base through continuous learning.

Bayer