2027 Future Talent Program - Discovery Bio-Analytics - Intern
About The Position
The Future Talent Program features internships that last up to 12 weeks and will include one or more projects. These opportunities in our Research and Development Division can provide you with great development and a chance to see if we are the right company for your long-term goals. Our Discovery Bioanalytics group within Drug Metabolism and Pharmacokinetics (DMPK) supports early-stage screening, characterization, and lead optimization of therapeutic drug candidates. The successful intern candidate will contribute to innovative, non-laboratory projects that advance our analytical capabilities through data analytics, machine learning, and predictive modeling. This internship provides a unique opportunity to work alongside leading discovery scientists, gain hands-on experience applying data science within a real-world pharmaceutical workflow, and help shape tools that directly accelerate drug discovery timelines. The intern will support efforts to improve efficiency, speed, and data-driven decision-making within discovery bioanalytical workflows. Activities may include analyzing historical compound and chromatographic datasets, developing predictive machine learning models, and building a recommendation framework to streamline analytical method setup.
Requirements
- Currently pursuing a Bachelor's degree in: Data Science, Computer Science, Chemical, Biological, Biomedical, or Computational Engineering, Chemistry, Biology, Pharmacology, or Related scientific discipline
- Basic data analysis ability and problem-solving skills
- Interest in applied AI/ML, predictive modeling, or data-driven decision making
- Familiarity with programming tools such as Excel, Python, or R
- Strong verbal and written communication skills
- Ability to work both independently and within collaborative, fast-paced environments
Nice To Haves
- Basic understanding of liquid chromatography principles and analytical methods
- Prior exposure to basic machine learning workflows, data visualization tools, and statistical analysis
- Completed coursework in bioanalytics, data science, statistics, computer science, or related fields
- Strong curiosity for translating data science tools into practical workflows
- Interest in early/discovery drug development
Responsibilities
- Source historical compound and analytical method data related to chemical properties and liquid chromatography
- Develop a predictive machine learning model to serve as a recommendation framework
- Collaborate with bioanalytical scientists to evaluate and validate the predictive accuracy of the model
- Explore opportunities to expand the scope of the model to address additional method development parameters, helping to further streamline workflows
Benefits
- The intern will gain exposure to: Discovery bioanalytical workflows supporting drug development
- Applied machine learning and data science workflows in early-stage pharmaceutical discovery
- Foundational concepts of analytical chemistry and method development
- Data science applications in bioanalytics
- Cross-functional collaboration within a pharmaceutical research organization
- Scientific communication and presentation skills
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What This Job Offers
Career Level
Intern
