2027 Future Talent Program - AI/ML Computational Toxicology - Intern
$39.11k - $111.11kMerck
Merck seeks summer interns for a 10-12 week program in computational toxicology within the nonclinical drug safety division. The role focuses on building machine learning models and natural language processing pipelines to assess drug candidate safety using multimodal datasets and biomedical literature.
Responsibilities
- Build and evaluate predictive models for toxicity risk and mechanistic hypotheses using pharmaceutical data
- Develop NLP and LLM pipelines to extract insights from unstructured reports and biomedical literature
- Create dashboards and visualizations to present findings to scientists and leadership
Requirements
- Pursuing BS/MS/PhD in Computational Science, Data Science, Bioinformatics, or related field
- Proficient in Python with solid understanding of statistics, machine learning, and data wrangling
- Hands-on experience with scikit-learn and at least one deep learning framework (PyTorch or TensorFlow)
- Experience with NLP and LLM tools including prompt design, fine-tuning, and retrieval-augmented generation
- Comfortable with Git/GitHub and reproducible computational workflows
- Available for 10-12 weeks beginning June 2027
Compensation: $39,108 through $111,111
$39.11k - $111.11k
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