Protein Engineering Data Science Co-Op

Missouri Ag Connection; Chesterfield (MO); On-site; USD 32,000 - 65,000; Part time

Benefits offered by this job

Health care

Vision benefits

Dental coverage

Retirement plan

PTO

Job summary

Bayer is seeking a Computational Co-op in Missouri to support protein engineering and data science projects. You will develop scalable computational workflows, integrate multi-omics datasets, and apply machine learning to questions in protein design and plant biology.

You will collaborate with engineers, biologists, and data scientists, contribute to Nextflow pipeline development, and help translate analytical results into actionable insights for stakeholders.

Qualifications

• Currently pursuing a Master's or Ph.D. 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 language.
• Familiarity with biological data analysis, machine learning, statistics, or scientific computing.
• Interest in protein engineering, plant biology, or 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 and computational biology workflows.
• Implement data quality checks, standardized inputs/outputs, and workflow monitoring.
• Integrate diverse biological datasets for exploratory analysis and predictive modeling.
• Maintain well-documented code using version control practices.
• Present project progress and analytical findings to scientific stakeholders.
• Develop cloud-enabled Nextflow pipelines for structure prediction, design, scoring, and prioritization.
• Collaborate with cross-functional teams on protein engineering and data science initiatives.

Skills

Python

R

Bash

Machine learning

Data analysis

Statistics

Communication

Independent work

Education

Master's or Ph.D. in a related field

Tools

Nextflow

AWS

Linux

Containers

Git

Job description

## POSITION PURPOSEWe 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 RESPONSIBILITIESThe primary responsibilities of this role are to:* 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 AREBayer 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.