Functional Genomics Data Science Co-Op

Bayer • Chesterfield, MO

110d • $36 - $46

About The Position

The Functional Genomics Data Science Co-Op position at Bayer involves collaborating with lead scientists to execute, analyze, and interpret high throughput molecular biology experiments aimed at testing gene expression predictions through machine learning and statistical modeling. The role requires documenting research plans, methods, results, and data analysis, as well as preparing and communicating reports and summaries to key stakeholders and broader audiences within the department. The co-op will also collaborate on the preparation of sequencing libraries, adhere to operational standards including best practices and safety protocols, and prioritize and coordinate work within a larger team across functional groups. Additionally, the position involves using machine learning and statistical modeling to predict gene expression patterns based on genome-wide datasets from diverse germplasm and delivering analysis at scale in cloud computing environments.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• Collaborate with lead scientists to execute, analyze, and interpret high throughput molecular biology experiments.
• 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.

Benefits

• Health care
• Vision
• Dental
• Retirement
• PTO
• Sick leave

What This Job Offers

• Career Level: Intern
• Education Level: Master's degree
• Number of Employees: 5,001-10,000 employees