2027 Future Talent Program - AI/ML Computational Toxicology - Intern

Merck offers a 12-week Future Talent Program internship in its Research and Development Division. The intern will apply machine learning, natural language processing, and large language models to multimodal toxicology data, building predictive models, developing NLP/LLM pipelines, preparing dashboards, and presenting results.

What you'll do:

• Build and evaluate predictive models for toxicity risk and mechanistic hypotheses generation using multimodal pharmaceutical data
• Develop NLP/LLM pipelines (prompting, fine-tuning, RAG) to mine unstructured reports and literature
• Prepare dashboards (e.g., Streamlit) and present results to scientists and leadership

What they're looking for:

• * Pursuing BS/MS/PhD in Computational Science, Data Science, Bioinformatics, Computational Biology/Chemistry, Computational Linguistics, or related field
• * Proficient in Python; solid with statistics/ML and data wrangling (pandas/SQL)
• * Hands-on with scikit-learn and at least one deep learning framework (PyTorch or TensorFlow)
• * Comfortable with Git/GitHub and reproducible workflows
• * Experience with NLP and LLM tools (e.g., Hugging Face, spaCy, NLTK) and techniques such as prompt design, fine-tuning, and retrieval-augmented generation (RAG)
• * Must be available for a period of 10-12 weeks, beginning June 2027

Benefits:

• Internships that last up to 12 weeks
• Great development and a chance to see if we are the right company for your long-term goals