You will contribute to the development of AI pipelines that mine and integrate multimodal toxicology datasets, spanning genomics, metabolomics, chemistry, in vitro/in vivo data, and biomedical literature, to generate mechanistic hypotheses and predictive models of toxicity

• 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

This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely

• Familiar with Git/GitHub workflows

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

• 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)

• The salary range for this role is $39,600.00-$105,500.00 USD

No relocation