Computational Biology Gene Expression Intern at Bayer | Apply Now
This Bayer bioinformatics internship offers a unique opportunity for a motivated Computational Biology Intern at Bayer in Chesterfield, Missouri. The role focuses on advancing next-generation gene expression design capabilities through the analysis of large-scale DNA sequence datasets and the application of machine learning technologies.
- Position: Computational Biology Gene Expression Intern
- Location: Chesterfield, Missouri, United States
- Reference Code: 883389
About Bayer
Bayer is a global enterprise with core competencies in the life science fields of health care and agriculture. The company is dedicated to finding solutions to some of the world’s most pressing challenges, including food security and health care access. Bayer operates in various locations worldwide, including its significant presence in Chesterfield, Missouri.
Bayer Bioinformatics Internship Description
The Computational Biology Intern in this Bayer bioinformatics internship will support the development of gene expression design capabilities by building and analyzing DNA sequence datasets. The successful candidate will collaborate with computational biologists and genomics scientists to generate datasets, benchmark predictive models, and identify biological patterns influencing gene expression.
Eligibility Criteria
- Pursuing a Master’s or Ph.D. degree in Bioinformatics, Computational Biology, Genetics, Genomics, Data 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.
Bayer bioinformatics internship – Key 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.
Salary: Employees can expect to be paid a salary of approximately between $22.75 to $47.75. Additional compensation may include a bonus or commission.
This Bayer bioinformatics internship is an excellent opportunity for aspiring computational biologists to contribute to significant advancements in gene expression design at Bayer. Qualified candidates are encouraged to apply before the application deadline.
Application Deadline: 19 March 2027
