Protein Engineering Data Science Co-Op

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

Job summary

Bayer Corp in the United States is seeking a Computational Co-op to support protein engineering and biological data science projects. You will develop scalable workflows, integrate diverse datasets, and apply machine learning to protein design, plant biology, and insect resistance.

You will collaborate with protein engineers, computational biologists, data scientists, and domain experts, gaining hands-on experience at the intersection of cloud computing, bioinformatics, multi-omics, ML, and

Qualifications

• Pursuing a Master’s or Ph.D. in Bioinformatics, Computational Biology, Data Science, Chemistry, CS, Biochemistry, Biophysics, Genetics, Genomics or related field.
• Experience programming in Python, R, Bash or similar languages.
• Familiarity with biological data analysis, ML, statistics, or scientific computing.
• Interest in protein engineering, structural biology, multi-omics, plant/insect biology.
• Strong problem-solving, documentation, data visualization, and communication skills.
• Ability to work independently while collaborating with scientists from multiple disciplines.

Responsibilities

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

Skills

Python

R

Bash

Data analysis

Data visualization

Communication

Independent work

Education

Master’s or Ph.D. in Bioinformatics/Comp Biology/Data Science/ related field

Tools

Nextflow

AWS

Linux

Docker

Git

HPC platforms

Job description

Protein Engineering Data Science Co-Op

POSITION PURPOSE

We are seeking a motivated Computational Co-op to support protein engineering and biological data science projects within an interdisciplinary research environment. The successful candidate will develop scalable computational workflows, integrate complex biological datasets, and apply machine learning approaches to questions in protein design, plant biology, and insect resistance. The successful candidate will work closely with protein engineers, computational biologists, data scientists, and domain experts. This role offers hands‑on experience at the intersection of cloud computing, bioinformatics, multi‑omics, machine learning, and agricultural biotechnology.

YOUR TASKS AND RESPONSIBILITIES

• Develop, test, and document reproducible pipelines for protein engineering, computational chemistry, and computational biology workflows;
• Implement data quality checks, standardized inputs and 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 collaborative software development and version control practices;
• Present project progress, analytical findings, and workflow recommendations to scientific stakeholders;
• Support the development of cloud‑enabled Nextflow pipelines for protein structure prediction, design, scoring, and candidate prioritization;
• Integrate protein interaction and metabolomic datasets to identify signals associated with plant performance;
• Apply computational approaches to model insect resistance using molecular, genomic, phenotypic, and population‑level data;
• Collaborate with cross‑functional teams to advance protein engineering, computational biology, and data science initiatives.

WHO YOU ARE

Bayer seeks an incumbent who possesses the following:

Required:

• Currently pursuing a Master’s or Ph.D. degree in Bioinformatics, Computational Biology, Data Science, Chemistry, Computer Science, Biochemistry, Biophysics, Genetics, Genomics, or a related field;
• Experience programming in Python, R, Bash, or a similar programming language;
• Familiarity with biological data analysis, machine learning, statistics, or scientific computing;
• Interest in protein engineering, structural biology, multi‑omics, plant biology, or insect biology;
• Strong problem‑solving, documentation, data visualization, and communication skills;
• Ability to work independently while collaborating effectively with scientists from multiple disciplines.

Preferred:

• Experience with Nextflow or another scientific workflow management system;
• Familiarity with AWS, cloud computing environments, Linux, containers, Git, or high‑performance computing platforms;
• Experience working with large‑scale biological datasets and computational pipelines;
• Knowledge of bioinformatics, machine learning, and predictive modeling techniques applied to biological systems.

Employees can expect to be paid an hourly rate 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.

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.

Equal Opportunity Employer Statement: Notice for U.S. Visitors: All information on this site is subject to compliance with local rule and regulations as they may vary from time to time and across different geographies, including, without limitation, U.S. Executive Orders. Bayer is an E-Verify Employer.

Location: United States : Missouri : Chesterfield
Division: Crop Science
Reference Code: 883386
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