Computational Biology Gene Expression Co-Op

We are seeking a motivated Computational Biology CoOp to support the development of nextgeneration gene expression design capabilities. This role will focus on building and analyzing largescale coding and noncoding 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 noncoding sequence datasets;
• Develop datasets suitable for training and evaluating machine learning models for gene expression prediction and design;
• Identify cropspecific 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 noncoding 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 datadriven approaches to improve expression element selection and optimization.

WHO YOU ARE

Bayer seeks an incumbent who possesses the following:

Desired Qualifications:

• Pursuing a Masters 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 problemsolving 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 applicants location market data/ranges an applicants 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