2027 Future Talent Program - Nonclinical Drug Safety Data Scientist - Intern

Merck is a pharmaceutical company offering internships through its Future Talent Program within its Research and Development Division. The Nonclinical Drug Safety Data Scientist Intern will support projects involving lead compound evaluation, preclinical toxicity, animal model development, mechanistic research, and regulatory support for drug registration.

What you'll do:

• The Future Talent Program features internships that last up to 12 weeks and will include one or more projects
• NDS, Non-Clinical Drug Safety, 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 provides collaborative research in animal model development, veterinary medical and animal care, and research facility management
• NDS also responds to regulatory questions in support of drug registration

What they're looking for:

• * Candidates should currently be enrolled in a minimum of a BS/BA in:applied math, computer science, chemistry, physics, computer engineering, biomedical engineering, or related disciplines
• Must be available for a period of 10-12 weeks, beginning May 2027
• Clinical Research, Computer Science, Data Analysis, Database Management, Data Modeling Techniques, Data Science, Data Security, Data Structures, Pandas Python Library, Pharmacovigilance, Plotly, Probabilistic Modeling, Project Management, Python (Programming Language), Python Numpy, scikit-learn, SciPy, Software Proficiency, Statistical Inferences, Statistical Models, Statistics, Statsmodels, Time Series Analysis, Unstructured Data
• No relocation
• No
• No Travel Required
• * G.P.A 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 sk-learn
• * Familiarity with pythonic frameworks for UI and dashboard creation such as Streamlet, Dash, and Plotly
• * Hands-on experience analyzing multiple data types including discrete, continuous, and time-series data

Benefits:

• Great development and a chance to see if we are the right company for your long-term goals.
• The opportunity to collaborate with talented and dedicated colleagues while developing and expanding your career.