Computational Biology Gene Expression Co-Op

Bayer AG; Chesterfield (MO); On-site; USD 31,000 - 66,000; Part time

Job summary

Bayer AG in the United States is seeking a Computational Biology Gene Expression Co‑Op to support development of next‑generation gene expression design capabilities across crop species. You will build and analyze large‑scale DNA sequence datasets and apply ML approaches to improve expression element design.

You will collaborate with computational biologists and genomics scientists, curate datasets for training ML models, visualize insights, and present findings to multidisciplinary teams.

Qualifications

• Pursuing a Master’s or Ph.D. in a relevant field.
• Experience with Python and/or R for data analysis.
• Familiarity with genomics, transcriptomics, machine learning, or statistical modelling.
• 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.

Responsibilities

• Curate, integrate, and analyse 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 visualisations and summaries to communicate biological and computational insights to research teams.
• Present project findings and recommendations to multidisciplinary stakeholders.

Skills

Python

R

Genomics

Machine Learning

Data Visualization

Education

Master’s or Ph.D. in Bioinformatics/Computational Biology/Genomics/Data Science/Computer Science/Plant Biology

Job description

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Computational Biology Gene Expression Co-Op

We are seeking a motivated Computational Biology Co‑Op to support the development of next‑generation gene expression design capabilities. This role will focus on building and analysing 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 analyse 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 visualisations 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 optimisation.

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 modelling;
• 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

YOUR APPLICATION

Bayer offers a wide variety of competitive compensation and benefits programmes. Be part of something bigger. Be you. Be Bayer.

To all recruitment agencies: Bayer does not accept unsolicited third‑party resumes.

Bayer is an Equal Opportunity Employer/Disabled/Veterans

Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.

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