Computational Biology, Single Cell & Spatial Genomics Co-Op

We are seeking a highly motivated Computational Biology Co‑Op to support the analysis of single‑cell and spatial transcriptomics datasets. The successful candidate will work with computational biologists, geneticists, and genomics scientists to perform deep‑dive analyses, evaluate emerging methods, and generate biological insights that inform future discovery and research efforts.

• Analyze single‑cell and spatial transcriptomics datasets using modern computational approaches;
• Perform in‑depth exploration of existing datasets to identify novel biological insights and hypotheses;
• Conduct literature reviews to identify emerging analytical methods and relevant biological findings;
• Create reproducible analysis workflows and document computational methods;
• Present findings, visualizations, and recommendations to multidisciplinary project teams.

• Pursuing a Master’s or Ph.D. degree in Bioinformatics, Computational Biology, Genetics, Genomics, Data Science, Computer Science, Statistics, or a related field;
• Experience with biological data analysis using R and/or Python;
• Familiarity with transcriptomics, single‑cell sequencing, or spatial biology data is preferred;
• Knowledge of statistical modeling and data visualization techniques;
• Strong problem‑solving, communication, and organizational skills;
• Ability to work both independently and collaboratively in a multidisciplinary research environment.

Employees can expect to be paid a salary of approximately between $22.75 to $47.75. Additional compensation may include a bonus or commission (if relevant).

• bonus or commission (if relevant)
• health care
• vision
• dental
• retirement
• PTO
• sick leave

This posting will be available for application until at least March 19, 2027

Bayer offers a wide variety of competitive compensation and benefits programs.

To all recruitment agencies:
Bayer does not accept unsolicited third party resumes.

Bayer is an Equal Opportunity Employer/Disabled/Veterans

Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.

Equal Opportunity Employer Statement:
Notice for U.S. Visitors:
All information on this site is subject to compliance with local rule and regulations as they may vary from time to time and across different geographies, including, without limitation, U.S. Executive Orders.

Bayer is an E-Verify Employer.

Location:

United States :
Missouri :
Chesterfield

Division:
Crop Science

Reference Code: 883381

Email: