Gene Expression Design Co-Op: Computational Biology

Bayer; Chesterfield (MO); Sur place; USD 31 000 - 66 000; Temps partiel

Résumé du poste

Bayer in Missouri, Chesterfield seeks a Computational Biology Co-Op to support development of gene expression design capabilities. You will curate and analyze large DNA sequence datasets, train ML models for expression prediction, and identify biological patterns influencing expression across crops.

You will work with computational biologists and genomics scientists to generate datasets, benchmark models, and communicate insights to multidisciplinary teams.

Qualifications

• Pursuing a Master’s or Ph.D. degree in Bioinformatics, Computational Biology, Genetics, Genomics, Data Science, Computer Science, Plant Biology, or a related field.
• Experience with data analysis using Python and/or R.
• Familiarity with genomics, transcriptomics, machine learning, or statistical modeling.
• Interest in gene regulation, regulatory genomics, AI applications in biology, and genetic design.
• Experience working with biological sequence data is preferred.
• Strong analytical thinking, scientific communication, and problem-solving skills.
• Ability to work independently and collaboratively in a multidisciplinary research environment.

Responsabilités

• Curate, integrate, and analyze coding and non-coding sequence datasets;
• Develop datasets suitable for training and evaluating machine learning models for gene expression prediction and design;
• Identify crop-specific sequence patterns associated with expression outcomes across diverse datasets;
• Evaluate current computational tools and technologies used to annotate, score, and predict the function of coding and non-coding DNA sequences;
• Develop reproducible analysis workflows and document data processing methodologies;
• Create visualizations and summaries to communicate insights to research teams;
• Present project findings and recommendations to multidisciplinary stakeholders.

Connaissances

Python

R

Formation

Master’s or Ph.D. candidate

Description du poste

Bayer in Missouri, Chesterfield seeks a Computational Biology Co-Op to support development of gene expression design capabilities. You will curate and analyze large DNA sequence datasets, train ML models for expression prediction, and identify biological patterns influencing expression across crops.

You will work with computational biologists and genomics scientists to generate datasets, benchmark models, and communicate insights to multidisciplinary teams.