Co-Op, Quantitative Sciences

The Role

This is a summer / fall co‑op opportunity in Norwood, MA from July 13, 2026 – December 11, 2026. Applicants must be available for the entire duration of the co‑op. Start date will be July 13, 2026.

CMC Quantitative Sciences supports data‑driven decision‑making within manufacturing and technical development. The team works on statistics, data analysis, modeling, data products, and advanced analytics that deepen quantitative knowledge and drive sound CMC decisions. The team has wide impact across CMC, performing design of experiments, statistical analyses, developing predictive and monitoring tools, and providing quantitative support to control strategies and regulatory submissions.

• Work with a team of highly skilled statisticians, modelers, scientists, and data scientists to come up to speed on technology and skills.

• Leverage your educational background within industrial context: perform data analysis, model experimental data, develop reusable programming tools or data products, and document formal reports including conclusions and recommended next steps.

• Participate in planning, design, execution, analysis of experiments and use experimental data for process understanding, risk assessments, and process control strategies.

• Exploring and/or implementing new statistical methods or models in Python/R for stability and unit operations.

• Programming reusable scripts/tools for standard statistical analysis, data processing, and visualization;
  Developing data products for process monitoring and pattern recognition.

• Multivariate analyses on high‑dimensional analytical data to advance drug characterization technologies.

• Review and share relevant academic literature to identify research and development opportunities.

• Prepare technical reports and present finding in cross‑functional meetings.

• Additional duties as may be assigned from time to time.

• Current student enrolled in a 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

• Strong fundamental scientific and engineering skills for the evaluation of experimental data

• At Moderna, we are focused on delivering on our mission by enabling talent to thrive. For this role, we are currently unable to offer immigration sponsorship. Candidates must already hold work authorization in US and be able to maintain that status without the need for future sponsorship.

• This position is site‑based, requiring you to be at Moderna’s site full‑time. This position is not eligible for remote work.

• 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

At Moderna, we believe that when you feel your best, you can do your best work. That’s why our co‑op benefits are designed to support you during your time with us —at work, at home, and everywhere in between.

• Free premium access to meditation and mindfulness classes

• Subsidized commuter benefits

• Generous paid time off, including vacation, sick time, holidays, volunteer days, and a discretionary year‑end shutdown

• Location‑specific perks and extras

The salary range for this role is $20.00 - $60.00. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An individual’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, performance, and business or organizational needs.

The successful candidate may be eligible for an annual discretionary bonus, other incentive compensation, or equity award, subject to company plan eligibility criteria and individual performance.

Since our founding in 2010, we have aspired to build the…