Computational Biology, Single Cell & Spatial Genomics Co-Op
Bayer•Chesterfield, MO
•$23 - $48•Onsite
About The Position
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.
Requirements
- 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
- 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
Nice To Haves
- Familiarity with transcriptomics, single‑cell sequencing, or spatial biology data is preferred
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
Benefits
- health care
- vision
- dental
- retirement
- PTO
- sick leave
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What This Job Offers
Career Level
Entry Level
