Co-Op, Quantitative Sciences
Posted 1 week ago
Interested in this position?
Upload your resume and we'll match you with this and other relevant opportunities.
Upload Your ResumeAbout This Role
This co-op opportunity in Quantitative Sciences supports data-driven decision-making within manufacturing and technical development at Moderna. The role involves performing statistical analysis, data modeling, and developing programming tools to deepen quantitative knowledge and drive sound CMC decisions.
Responsibilities
- Work with skilled statisticians, modelers, scientists, and data scientists to learn technology and skills
- Leverage educational background to perform data analysis and model experimental data
- Develop reusable programming tools or data products
- Document formal reports including conclusions and recommended next steps
- Participate in the planning, design, execution, and analysis of experiments for process understanding, risk assessments, and process control strategies
- Explore and/or implement new statistical methods or models in Python/R for stability and unit operations
- Program reusable scripts/tools for standard statistical analysis, data processing, and visualization
- Develop data products for process monitoring and pattern recognition
- Perform multivariate analyses on high-dimensional analytical data to advance drug characterization technologies
- Review and share relevant academic literature to identify research and development opportunities
Requirements
- Current student enrolled in a Bachelors or Masters program in a relevant scientific or engineering field
- Strong fundamental scientific and engineering skills for the evaluation of experimental data
- Must already hold work authorization in US and be able to maintain that status without the need for future sponsorship.
Qualifications
- Bachelors or Masters program in Chemical Engineering, Biochemical Engineering, Bioengineering, Biomolecular Engineering, Chemistry, Biochemistry, Biomedical Engineering, Biophysics, Biostatistics, Biotechnology, Mathematics, Molecular Biology, Pharmaceutical Science, Statistics, or a related field
- Current student enrolled in a Bachelors or Masters program
Nice to Have
- Basic knowledge in probability theory, statistics, and/or machine learning
- Programming experience in R/Python on data analysis
- Technical curiosity and passion about learning new skills
Skills
* Required skills
Benefits
About BioSpace
Lilly is a global healthcare leader headquartered in Indianapolis, Indiana, specializing in discovering and bringing life-changing medicines to patients worldwide. They are investing over $1 billion to create a new state-of-the-art manufacturing site in Concord, NC, focusing on parenteral medication...