Computational Biology, Single Cell & Spatial Genomics Co-Op

Bayer; Chesterfield (MO); On-site; USD 31,000 - 66,000; Part time

Job summary

Bayer in Missouri is seeking a Computational Biology Co‑Op to support single-cell and spatial transcriptomics analyses and work with a multidisciplinary team of scientists to generate biological insights.

You will develop reproducible workflows, perform literature reviews, and present findings to project teams, contributing to ongoing discovery and research efforts.

Qualifications

• 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.

Responsibilities

• 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.

Skills

R

Python

Communication

Independent work

Education

Master’s or PhD in Bioinformatics/Computational Biology

Tools

R

Python

Job description

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.

Your Tasks And Responsibilities

• 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.

Who You Are

Desired Qualifications:

• 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). Additional benefits may include health care, vision, dental, retirement, PTO, sick leave, etc (if relevant). This salary (or salary range) is merely an estimate and may vary based on an applicant’s location, market data/ranges, an applicant’s skills and prior relevant experience, certain degrees and certifications, and other relevant factors.

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

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.

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Bayer is an E-Verify Employer.

Location:

United States : Missouri : Chesterfield

Division:

Crop Science

Reference Code:

883381

Contact Us

Email: [e-mail]