About the role#
This co-op position focuses on the analysis of single-cell and spatial transcriptomics datasets. You will work alongside computational biologists, geneticists, and genomics scientists to perform deep-dive analyses. Your work will help evaluate emerging methods and generate biological insights to inform future research and discovery efforts.
What you'll do#
- 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.
What you'll need#
- 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 or Python.
- Familiarity with transcriptomics, single-cell sequencing, or spatial biology data.
- 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.
Location & details#
- Location: Chesterfield, Missouri, United States.
- Modality: On-site.
- Term: Rolling.
- Employment type: Full-time.
- Compensation: Paid position.
About Bayer
Bayer is a global enterprise focused on healthcare and nutrition. The company operates in the life sciences sector with specialties in pharmaceuticals, consumer health, and crop science. It maintains a large workforce of over 95,000 employees across international locations. Headquartered in Leverkusen, Germany, the organization develops products intended to address health and food security needs.
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