Protein Engineering Data Science Co-Op

Bayer; Chesterfield (MO); Presencial; USD 32 000 - 65 000; Tempo parcial

Vantagens oferecidas por esta oferta de emprego

Healthcare

Vision Insurance

Dental Insurance

Retirement Plan

Paid Time Off

Resumo da oferta

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.

Qualificações

• 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.

Responsabilidades

• 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.

Conhecimentos

Python

R

Bash

Machine learning

Data analysis

Data visualization

Documentation

Communication

Independent work

Collaborative work

Formação académica

MS/PhD in Bioinformatics

Ferramentas

Nextflow

AWS

Linux

Containers

Git

HPC

Descrição da oferta de emprego

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

The 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 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.

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

Bayer is an Equal Opportunity Employer/Disabled/Veterans

Bayer is an E-Verify Employer.

Location: United States : Missouri : Chesterfield

Division: Crop Science

Reference Code: 883386

Contact Us

Email: [e-mail]