2027 Future Talent Program - Discovery Bio-Analytics - Intern

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.

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  Source historical compound and analytical method data related to chemical properties and liquid chromatography

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  Develop a predictive machine learning model to serve as a recommendation framework

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  Collaborate with bioanalytical scientists to evaluate and validate the predictive accuracy of the model

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  Explore opportunities to expand the scope of the model to address additional method development parameters, helping to further streamline workflows

• Currently pursuing a Bachelor's degree in:

  • Data Science

  • Computer Science

  • Chemical, Biological, Biomedical, or Computational Engineering

  • Chemistry

  • Biology

  • Pharmacology

  • 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

• 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

Current Employees apply HERE

Current Contingent Workers apply HERE

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

• Analytical dataset and model documentation

• Prototype of a predictive modeling tool

• Final intern presentation summarizing project objectives, methods, results, and impact

Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.

As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics.  As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities.  For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:

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We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively.

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