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About the Role

Seeking a Computational Scientist II to join Genentech's Developmental Sciences organization and advance AI-driven drug development. This role involves designing, developing, and deploying LLM-powered agentic workflows to automate scientific processes within Clinical Pharmacology and Pharmacometrics.

Responsibilities

• Design, develop, and deploy LLM-based agentic AI workflows to automate scientific and pharmacometric processes.
• Build RAG (Retrieval-Augmented Generation) pipelines, human-in-the-loop AI systems, and reusable LLM components.
• Develop evaluation frameworks, guardrails, and quality control processes for LLM outputs.
• Collaborate with pharmacometricians, clinical pharmacologists, data scientists, and software engineers to translate scientific requirements into AI solutions.
• Integrate scientific guidelines, templates, and reference documents into AI workflows.
• Develop production-ready software following best engineering practices, including Git, documentation, code reviews, and testing.
• Support deployment of AI applications on cloud platforms (AWS, Azure, or GCP).
• Present technical solutions, documentation, and best practices to cross-functional stakeholders.

Requirements

• Bachelor's degree with 5+ years of experience, or Master's/PhD in Computer Science, Data Science, Bioinformatics, Computational Biology, Pharmaceutical Sciences, or a related quantitative field.
• Experience developing LLM applications, Agentic AI systems, or Generative AI solutions.
• Strong programming experience with Python and software engineering best practices.
• Experience with LangChain, LangGraph, LangSmith, RAG architectures, vector databases, and LLM APIs.
• Knowledge of Git, CI/CD, code reviews, testing, and documentation.
• Experience with cloud platforms (AWS, Azure, or GCP).
• Excellent communication and collaboration skills.
• Experience in pharmaceutical, biotech, computational biology, pharmacometrics, or drug discovery.
• Experience developing AI solutions for scientific or regulated environments.
• Familiarity with evaluation frameworks, LLM guardrails, prompt engineering, and human-in-the-loop workflows.
• Experience working with structured and unstructured scientific data.
• Portfolio of AI/LLM projects or open-source contributions.

Skills

• Large Language Models (LLMs)
• Agentic AI & Generative AI
• LangChain, LangGraph, LangSmith
• Retrieval-Augmented Generation (RAG)
• Python Programming
• AI Workflow Automation
• AWS / Azure / GCP
• Computational Biology / Bioinformatics
• Drug Discovery & Pharmaceutical R&D
• Data Science & Machine Learning

Location

• SSF, CA

Work Type

• Long Term Contract

Experience Level

• 5+ years of experience

Education Level

• Bachelor's degree
• Master's degree
• PhD

Salary/Compensations

• $48 - $49/hr

Benefits

• Medical
• Paid Sick leave
• 401K

About the Company

• Our Client, a world leader in Biotechnology