2027 Future Talent Program - Discovery Bio-Analytics - Intern

About the role

This internship within the Discovery Bioanalytics group of Drug Metabolism and Pharmacokinetics (DMPK) supports early-stage screening, characterization, and lead optimization of therapeutic drug candidates. The successful intern will contribute to innovative, non-laboratory projects that advance analytical capabilities through data analytics, machine learning, and predictive modeling. This 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.

Primary 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

Required Education

Currently pursuing a Bachelor's degree in Data Science, Computer Science, Chemical, Biological, Biomedical, or Computational Engineering, Chemistry, Biology, Pharmacology, or a related scientific discipline.

Required Skills

• 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

Preferred Skills

• 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

Learning Opportunities

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, and scientific communication and presentation skills.

Expected Deliverables

• Analytical dataset and model documentation
• Prototype of a predictive modeling tool
• Final intern presentation summarizing project objectives, methods, results, and impact

Pay

The salary range for this role is $39,108 through $111,111.