Gene Expression Intern for ML-Driven Crop Design

Bayer CropScience Limited; Chesterfield (MO); On-site; USD 32,000 - 66,000; Full time

Job summary

Bayer CropScience Limited in Missouri is seeking a Computational Biology Gene Expression Intern to support the development of next‑generation gene expression design capabilities. You will build and analyze large‑scale DNA sequence datasets, evaluate expression prediction technologies, and apply machine learning to improve expression element design.

You will curate datasets, train models, identify sequence patterns, and communicate insights to multidisciplinary teams, gaining hands‑on experience

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.

Responsibilities

• 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 biological and computational insights to research teams.
• Present project findings and recommendations to multidisciplinary stakeholders.

Skills

Python

R

Genomics knowledge

Education

Master’s or Ph.D. in Bioinformatics/Computational Biology

Tools

Python

R

Job description

Bayer CropScience Limited in Missouri is seeking a Computational Biology Gene Expression Intern to support the development of next‑generation gene expression design capabilities. You will build and analyze large‑scale DNA sequence datasets, evaluate expression prediction technologies, and apply machine learning to improve expression element design.

You will curate datasets, train models, identify sequence patterns, and communicate insights to multidisciplinary teams, gaining hands‑on experience