About the role#
This co-op position within the Translational Sciences and Outsourcing team offers an opportunity to contribute to high-impact modeling projects. You will work alongside scientists in data science, pharmacokinetics, and toxicology to apply modern AI and machine learning methods to real pharmaceutical data. The role lasts up to 6 months and focuses on predicting toxicokinetics to support nonclinical drug safety decision-making.
What you'll do#
- Curate and quality-check preclinical cross-dose PK/TK datasets to build reusable benchmarks.
- Conduct TK analysis using exposure endpoints like AUC and Cmax to identify trends and data limitations.
- Develop and benchmark AI-enabled and hybrid modeling approaches against standard empirical and mechanistic baselines.
- Evaluate model performance, uncertainty estimation, and the ability to detect nonlinear PK behavior.
- Create clear visualizations, written summaries, and technical presentations for stakeholders.
- Share project outcomes through internal or external publications and presentations.
What you'll need#
- Currently pursuing a Master's or Ph.D. degree in data science, computer science, mathematics, statistics, computational chemistry, chemical or biomedical engineering, pharmaceutical sciences, or a related quantitative discipline.
- Research experience in machine learning, statistical modeling, scientific computing, or computational modeling.
- Strong Python programming skills, including experience with NumPy, pandas, and scikit-learn.
- Experience with deep learning frameworks such as PyTorch or JAX.
- A solid foundation in machine learning, statistics, model evaluation, and reproducible analysis workflows.
- Ability to work with messy tabular or time-series scientific data.
- Effective written and verbal communication skills and the ability to collaborate in a cross-functional research environment.
Location & details#
- Location: Boston, Massachusetts.
- Work Modality: Hybrid.
- Employment Type: Full-time.
- Compensation: Paid position.
- Sponsorship: No visa sponsorship is available for this role.
About MSD
MSD is a pharmaceutical manufacturing company founded in 1891. It develops medicines and vaccines for both humans and animals. The organization operates globally and maintains its headquarters in Rahway, New Jersey. It employs over 39,000 people.
How to get in at MSD
Applying to MSD early provides a distinct advantage because recruiters often review the first wave of candidates before the applicant pool becomes unmanageable. Intern Insider sends an instant alert the moment a role matching your target is published anywhere, so you apply among the first and get seen before the pile grows. Reaching out to the right person can help your application stand out from the crowd. Intern Insider surfaces the recruiters behind the company roles so you can reach out directly to ask about the position or a referral, which materially improves your response rates.



