Internship: Data Scientist (Drug Safety)

Job Description

The Future Talent Program offers internships lasting up to 12 weeks, including one or more projects. These opportunities in our Research and Development Division provide valuable development and a chance to see if we are the right fit for your long-term goals.

Non-Clinical Drug Safety (NDS) helps advance high-quality drug candidates into development by defining the non-clinical safety and selectivity of lead compounds. NDS employees evaluate Lead Op candidates and preclinical toxicity of drug development candidates, provide mechanistic understanding of drug-induced toxicity, and assess implications for human safety. NDS also conducts collaborative research in animal model development, veterinary medical and animal care, and research facility management, and responds to regulatory questions in support of drug registration.

Our ability to excel depends on the integrity, knowledge, imagination, skill, diversity, and teamwork of people like you. We strive to create an environment of mutual respect, encouragement, and teamwork. As part of our global team, you'll collaborate with talented and dedicated colleagues while developing and expanding your career.

Location: West Point, PA or Boston, MA

Education

• Currently enrolled in a minimum of a BS/BA in applied math, computer science, chemistry, physics, computer engineering, biomedical engineering, or related disciplines.

Preferred Qualifications

• GPA of 3.0 or higher
• Strong analytical and communication skills
• Demonstrated ability to learn new technologies
• Proficiency in Python and associated data science packages including pandas, numpy, scipy, and scikit-learn
• Familiarity with Pythonic frameworks for UI and dashboard creation such as Streamlit, Dash, and Plotly
• Hands-on experience analyzing multiple data types including discrete, continuous, and time-series data
• Familiarity with structured and unstructured data sources
• Familiarity with statistics, discrete math, and probabilistic modeling a plus
• Familiarity with statistical learning methods, such as supervised and unsupervised modeling

Required Qualifications

Must be available for a period of 10-12 weeks, beginning May 2027.

Please note that this position may be closed before the posted end date or may remain open longer, at the discretion of the company.

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

FTP2027 RL2027