Genomics & Gene Expression Intern — ML/Data Science

Missouri Ag Connection; Chesterfield, Northern (MO, KY); Hybrid; USD 32,000 - 66,000; Part time

Job summary

Missouri Ag Connection invites applications for a Computational Biology Intern to help build gene expression design capabilities across crop species. You will curate datasets and develop ML-ready data, identifying crop-specific patterns while evaluating tools for DNA sequence annotation and prediction.

The role emphasizes reproducibility, visualization, and clear communication with research teams. Collaborations span computational biologists, genomics scientists, and design researchers, offering

Qualifications

• Must be pursuing a Master's or Ph.D. in a relevant field.
• Experience with Python and/or R for data analysis.
• Familiarity with genomics and machine learning concepts.
• Interest in gene regulation and biological design.

Responsibilities

• Curate, integrate, and analyze coding and non-coding sequence datasets.
• Develop datasets for training and evaluating ML models for gene expression prediction and design.
• Identify crop-specific sequence patterns linked to expression outcomes.
• Evaluate tools for annotation, scoring, and prediction of DNA sequences.
• Develop reproducible workflows and document data processing methods.
• Create visualizations to communicate insights to research teams.
• Present findings and recommendations to multidisciplinary stakeholders.
• Benchmark gene expression prediction and annotation tech; explore data-driven optimization.

Skills

Python

R

Data analysis

Machine learning

Genomics

Statistics

Education

Master's or Ph.D. in Bioinformatics/Computational Biology/Genomics/Data Science

Job description

Missouri Ag Connection invites applications for a Computational Biology Intern to help build gene expression design capabilities across crop species. You will curate datasets and develop ML-ready data, identifying crop-specific patterns while evaluating tools for DNA sequence annotation and prediction.

The role emphasizes reproducibility, visualization, and clear communication with research teams. Collaborations span computational biologists, genomics scientists, and design researchers, offering