About the role#
This co-op position supports the development of gene expression design capabilities. You will work alongside genomics scientists and researchers to build and analyze large-scale DNA sequence datasets. The role focuses on applying machine learning to improve how we design expression elements across different crop species.
What you'll do#
- Curate, integrate, and analyze coding and non-coding sequence datasets.
- Develop datasets to train and evaluate machine learning models for gene expression prediction.
- Identify sequence patterns in crops that relate to expression outcomes.
- Evaluate computational tools used to annotate and predict the function of DNA sequences.
- Build reproducible analysis workflows and document your data processing methods.
- Create visualizations to explain biological and computational findings to research teams.
- Present your project recommendations to multidisciplinary stakeholders.
What you'll need#
- Currently pursuing a Master’s or Ph.D. in Bioinformatics, Computational Biology, Genetics, Genomics, Data Science, Computer Science, Plant Biology, or a related field.
- Experience with data analysis in Python or R.
- Familiarity with genomics, transcriptomics, machine learning, or statistical modeling.
- An interest in gene regulation, AI in biology, and genetic design.
- Strong analytical, communication, and problem-solving skills.
- Experience working with biological sequence data is preferred.
- Ability to work both independently and as part of a research group.
Location & details#
- Location: Chesterfield, Missouri.
- Work modality: On-site.
- Employment type: Full-time.
- Compensation: Paid role.
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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