Protein Design & ML Data Science Co-Op

Bayer; Chesterfield (MO); On-site; USD 32,000 - 65,000; Part time

Benefits offered by this job

Healthcare

Vision Insurance

Dental Insurance

Retirement Plan

Paid Time Off

Job summary

Bayer is seeking a motivated Computational Co-op to support protein engineering and biological data science projects at its Crop Science division in Missouri. You will build scalable workflows, integrate multi-omics datasets, and apply machine learning for design and predictive insights.

The role offers hands-on experience across cloud computing, bioinformatics, and agricultural biotechnology, with collaboration across engineers, scientists, and domain experts.

Qualifications

• Pursuing a Master's or Ph.D. in a related field.
• Experience programming in Python or R.
• Knowledge of biological data analysis, machine learning, or scientific computing.
• Interest in protein engineering, multi-omics, plant or insect biology.
• Strong problem-solving, documentation, data visualization, and communication skills.

Responsibilities

• Develop, test, and document reproducible pipelines for protein engineering workflows.
• Implement data quality checks, standardized inputs/outputs, workflow monitoring, and reproducibility practices.
• Integrate protein, interactome, metabolomic, phenotypic, and other biological datasets for exploratory analysis and predictive modeling.
• Maintain well-documented code using version control practices.
• Present project progress, analytical findings to scientific stakeholders.
• Develop cloud-enabled Nextflow pipelines for protein structure prediction, design, scoring, and candidate prioritization.
• Integrate protein interaction and metabolomic datasets to identify signals linked to plant performance.
• Apply computational approaches to model insect resistance using molecular, genomic, phenotypic data.
• Collaborate with cross-functional teams to advance protein engineering, computational biology, and data science initiatives.

Skills

Python

R

Bash

Machine learning

Data analysis

Data visualization

Documentation

Communication

Independent work

Collaborative work

Education

MS/PhD in Bioinformatics

Tools

Nextflow

AWS

Linux

Containers

Git

HPC

Job description

Bayer is seeking a motivated Computational Co-op to support protein engineering and biological data science projects at its Crop Science division in Missouri. You will build scalable workflows, integrate multi-omics datasets, and apply machine learning for design and predictive insights.

The role offers hands-on experience across cloud computing, bioinformatics, and agricultural biotechnology, with collaboration across engineers, scientists, and domain experts.