Chemical Engineering Co-Op

Bayer; United States; On-site; USD 33,000 - 63,000; Part time

Job summary

Scorpion Therapeutics seeks a data analytics role to develop and evaluate workflows for data analysis applications supporting bioprocess understanding, monitoring, and optimization in process development and GMP manufacturing within the biopharma industry.

The role involves designing, testing, and documenting software tools; applying machine learning and advanced statistics; creating data workflows for mining, pre-processing, and visualization; and collaborating with data scientists on process

Qualifications

• Must have PhD or undergrad in Engineering, Computer Science, Applied Math, or (Bio)Statistics.
• Strong programming skills in Python and R; familiarity with ML.
• Good communication and teamwork abilities; strong problem-solving skills.
• Interest in machine learning and willingness to work with cloud platforms.

Responsibilities

• Design, test, and document software tools.
• Utilize machine learning and advanced statistical methods.
• Develop data workflows for mining, pre-processing, and visualization.
• Support data mining from IT systems.
• Collaborate with data scientists on process monitoring and root cause analysis.
• Communicate findings and document outcomes.

Skills

Python

R

Machine learning

Teamwork

Education

PhD or undergrad in Engineering/CS/Applied Math/(Bio)Statistics

Tools

Cloud platforms

Job description

Role

Develop and evaluate workflows for data analysis applications to support bioprocess understanding, monitoring, and optimization in process development and GMP manufacturing within the biopharma industry.

Responsibilities

• design, test, and document software tools;
• utilize machine learning and advanced statistical methods;
• develop data workflows for mining, pre-processing, and visualization;
• support data mining from IT systems;
• collaborate with data scientists on process monitoring and root cause analysis;
• communicate findings and document outcomes.

Requirements

• enrolled in or hold a PhD or undergraduate degree in Engineering, Computer Science, Applied Math, or (Bio)Statistics;
• strong programming skills in Python, R, etc.;
• good communication and teamwork abilities;
• problem-solving skills;
• interest in machine learning;
• familiarity with cloud platforms preferred.

High-Value

biopharmaceutical process data analytics, machine learning application, GMP manufacturing support, cross-functional collaboration, technical documentation.

WorkSetup

remote U.S., Missouri, Chesterfield; duration spring and fall co-op programs; salary range approximately $24-$45.50/hour.