Computational Scientist II

Job Duration: Long Term Contract (Possibility Of Extension)

We are seeking a Computational Scientist II to join Genentechs Developmental Sciences organization and help advance AI-driven drug this role you will design develop and deploy LLM-powered agentic workflows that automate scientific processes within Clinical Pharmacology and Pharmacometrics. You will collaborate with scientists pharmacometricians and AI engineers to build production-ready AI solutions develop evaluation frameworks integrate scientific knowledge into AI systems and improve the efficiency of quantitative drug development.

• 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.
  

• Bachelors degree with 5 years of experience or Masters/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.
  

• 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
  

If interested please send us your updated resume at

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