Apply on Employer Site

Merck · 3 hours ago

2026 Future Talent Program - Agentic AI - Co-Op

Lansdale, PA

Full-time

Hybrid

New Grad

$40K/yr - $106K/yr

Merck is a leading company in the pharmaceutical industry, and they are seeking a motivated Co-op student to join their Computational Toxicology team. This role involves applying machine learning and natural language processing to enhance drug safety assessments and develop AI pipelines that integrate various toxicology datasets.

BiotechnologyHealth CareMedicalPharmaceutical

Comp. & Benefits

No H1B

Responsibilities

Develop and evaluate predictive models to assess compound safety risks and identify toxicity mechanisms using multimodal pharmaceutical data

Design and implement NLP/LLM pipelines (prompt engineering, fine-tuning, retrieval-augmented generation, etc.) to extract insights from unstructured reports and biomedical literature

Build and deploy interactive dashboards (e.g., Streamlit, Dash) to visualize and communicate findings to toxicologists, chemists, and project teams

Collaborate with multidisciplinary scientists across toxicology, chemistry, and data science to translate computational outputs into actionable safety insights

Qualification

NLP frameworksLLM techniquesPython programmingData wranglingModel developmentGit/GitHubPassion for AICollaboration

Required

Currently pursuing a Ph.D. in Computational Science, Data Science, Bioinformatics, Computational Biology/Chemistry, Computational Linguistics, or a related field

Experienced with NLP and LLM frameworks (e.g., Hugging Face, spaCy, NLTK) and techniques such as prompt design, fine-tuning, and retrieval-augmented generation (RAG)

Proficient in Python, with strong skills in statistics, data wrangling (pandas/SQL), and model development (scikit-learn, PyTorch, TensorFlow)

Familiar with Git/GitHub workflows

Passionate about applying AI to improve human safety, reduce animal testing, and transform decision-making in drug discovery