Talent Program - Agentic AI - Co-Op

Job Description

The Future Talent Program features Cooperative (Co‑op) education that lasts up to 6 months and will include one or more projects. These opportunities in our Research and Development Division can provide you with great development and a chance to see if we are the right company for your long‑term goals.

The Computational Toxicology group within the Nonclinical Drug Safety group at our Company combines toxicology expertise, data science, and AI/ML—including emerging Large Language Model (LLM) and generative AI applications—to enhance the prediction and mechanistic understanding of drug safety risks. Our vision is to accelerate safety assessments, support early drug discovery teams, and reduce reliance on in‑vivo testing through advanced computational approaches.

We are seeking a highly motivated Co‑op student to join the Computational Toxicology team at our Company Research Laboratories. This position offers an exciting opportunity to apply machine learning (ML), natural language processing (NLP), and LLM‑based reasoning to real‑world pharmaceutical safety data. 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.

• 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, Tensor Flow).
• Familiar with Git/Git Hub workflows.
• Passionate about applying AI to improve human safety, reduce animal testing, and transform decision‑making in drug discovery.

We are looking for a self‑motivated individual who thrives in a collaborative environment, is comfortable handling large datasets, and has a curiosity for innovative AI solutions in drug safety.

Salary Range: $39,600.00–$ USD

Location: San Francisco, CA (U.S.) — requires U.S. residency; we are open to candidates with arrest and conviction records per the San Francisco Fair Chance Ordinance.

Employment Status: Intern/Co‑op (Fixed Term)

Relocation: No

VISA Sponsorship: No

Travel Requirements: 10%

Work Arrangements: Hybrid (3 in‑office days per week, 1 remote day)

As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities.

01/30/2026

Requisition : R369728