Protein Data Science Co-Op

Bayer • Chesterfield, MO

83d • $22 - $29

About The Position

The primary responsibilities of this role are to collaborate with the Protein Sciences (PS) and data science and intelligence (DSI) team to understand project goals and identify key decision points in the research pipeline. The role involves analyzing and interpreting complex protein sciences data to derive actionable insights and support decision-making processes. Additionally, the incumbent will develop and implement data strategies that facilitate the integration of machine learning and deep learning methodologies, create data visualizations and reports to communicate findings to both technical and non-technical stakeholders, and assist in the development of predictive models and algorithms to enhance protein structure-function predictions. The position also requires contributing to the development of code, models, and end-to-end workflows for the analysis of text, protein sequences, and protein characterization data. Staying up-to-date with the latest advancements in data science, machine learning, and protein sciences to inform project strategies is essential, as is compliance with all safety, stewardship, and IT/information security policies and regulations.

Requirements

• Currently pursuing a degree in Data Science, Bioinformatics, Computational Biology, or a related field, with a focus on protein sciences
• Strong understanding of protein structure, function, and bioinformatics tools
• Proficiency in programming languages such as Python or R, with experience in data manipulation and analysis libraries (e.g., Pandas, NumPy) with familiarity in AWS SageMaker
• Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and statistical analysis techniques

Nice To Haves

• Excellent problem-solving skills and the ability to work collaboratively in a team environment
• Strong communication skills to effectively present complex data findings

Responsibilities

• Collaborate with the Protein Sciences (PS) and data science and intelligence (DSI) team to understand project goals and identify key decision points in the research pipeline
• Analyze and interpret complex protein sciences data to derive actionable insights and support decision-making processes
• Develop and implement data strategies that facilitate the integration of machine learning and deep learning methodologies
• Create data visualizations and reports to communicate findings to both technical and non-technical stakeholders
• Assist in the development of predictive models and algorithms to enhance protein structure-function predictions
• Contribute to the development of code, models, and end-to-end workflows for the analysis of text, protein sequences, and protein characterization data
• Stay up-to-date with the latest advancements in data science, machine learning, and protein sciences to inform project strategies
• Comply with all safety, stewardship, and IT/information security policies and regulations

Benefits

• Health care
• Vision
• Dental
• Retirement
• PTO
• Sick leave

What This Job Offers

• Career Level: Intern
• Industry: Chemical Manufacturing
• Education Level: Bachelor's degree