About the role#
This internship is part of the Future Talent Program within the Nonclinical Drug Safety division. You will join the AI/ML Computational Toxicology team to help improve safety assessments for drug candidates. The project aims to accelerate decision-making and reduce the need for animal testing by applying machine learning and natural language processing to complex datasets.
What you'll do#
- Build and evaluate predictive models to assess toxicity risk and generate mechanistic hypotheses using multimodal pharmaceutical data.
- Develop NLP and LLM pipelines, including prompting, fine-tuning, and retrieval-augmented generation (RAG), to mine unstructured reports and literature.
- Create dashboards using tools like Streamlit to present your findings to scientists and leadership.
What you'll need#
- Pursuing a BS, MS, or PhD in Computational Science, Data Science, Bioinformatics, Computational Biology, Computational Chemistry, Computational Linguistics, or a related field.
- Proficiency in Python and experience with data wrangling using pandas or SQL.
- Solid understanding of statistics and machine learning.
- Hands-on experience with scikit-learn and at least one deep learning framework, such as PyTorch or TensorFlow.
- Familiarity with Git, GitHub, and reproducible workflows.
- Experience with NLP and LLM tools like Hugging Face, spaCy, or NLTK.
- Knowledge of prompt design, fine-tuning, and RAG techniques.
Location & details#
- Location: West Point, Pennsylvania.
- Term: 10-12 weeks, beginning June 2027.
- Modality: On-site.
- Employment: Full-time internship.
- Sponsorship: Not provided.
About MSD
MSD is a pharmaceutical manufacturing company founded in 1891. It develops medicines and vaccines for both humans and animals. The organization operates globally and maintains its headquarters in Rahway, New Jersey. It employs over 39,000 people.
How to get in at MSD
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