About the role#
We are looking for a Computational Co-op to join our interdisciplinary research team. You will work on projects related to protein engineering and biological data science. This role involves building scalable computational workflows, integrating complex datasets, and applying machine learning to protein design, plant biology, and insect resistance. You will work alongside protein engineers, computational biologists, and domain experts.
What you'll do#
- Build, test, and document reproducible pipelines for computational chemistry and biology workflows.
- Set up data quality checks, standardized inputs, and workflow monitoring.
- Combine protein, interactome, metabolomic, and phenotypic datasets for predictive modeling.
- Maintain code using version control and collaborative software practices.
- Share project progress and analytical findings with scientific stakeholders.
- Develop cloud-enabled Nextflow pipelines for protein structure prediction, design, and candidate prioritization.
- Use computational approaches to model insect resistance using genomic and population-level data.
- Partner with cross-functional teams to support data science and computational biology initiatives.
What you'll need#
- Currently pursuing a Master's or Ph.D. in Bioinformatics, Computational Biology, Data Science, Chemistry, Computer Science, Biochemistry, Biophysics, Genetics, Genomics, or a related field.
- Programming experience in Python, R, Bash, or similar languages.
- Familiarity with biological data analysis, machine learning, statistics, or scientific computing.
- Interest in protein engineering, structural biology, multi-omics, or plant and insect biology.
- Strong skills in problem-solving, documentation, data visualization, and communication.
- Ability to work independently and collaborate with scientists from various disciplines.
- Experience with Nextflow or other scientific workflow management systems is preferred.
- Familiarity with AWS, cloud environments, Linux, containers, Git, or high-performance computing platforms.
- Experience with large-scale biological datasets and computational pipelines.
Location & details#
- Location: Chesterfield, Missouri, United States.
- Modality: On-site.
- Employment type: Full-time.
- Compensation: $22.75 to $47.75 per hour.
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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