Computational Biology Gene Expression Intern

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

We are seeking a motivated Computational Biology Intern to support the development of next?generation gene expression design capabilities. This role will focus on building and analyzing large?scale coding and non?coding DNA sequence datasets, evaluating gene expression prediction technologies, and applying machine learning approaches to improve expression element design across crop species. The successful candidate will work with computational biologists, genomics scientists, and gene design researchers to generate datasets, benchmark predictive models, and identify biological patterns that influence gene expression.**YOUR TASKS AND RESPONSIBILITIES**The primary responsibilities of this role include:* 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.Potential Project Areas:* Benchmarking gene expression prediction and annotation technologies;* Developing data?driven approaches to improve expression element selection and optimization.**WHO YOU ARE**Bayer seeks an incumbent who possesses the following:Desired 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.Employees can expect to be paid a salary of approximately between $22.75 to $47.75. Additional compensation may include a bonus or commission (if relevant). Additional benefits may include health care, vision, dental, retirement, PTO, sick leave, etc (if relevant). This salary (or salary range) is merely an estimate and may vary based on an applicant's location, market data/ranges, an applicant's skills and prior relevant experience, certain degrees and certifications, and other relevant factors.This posting will be available for application until at least March 19, 2027