Design, develop, and deploy LLM-powered agentic AI workflows and RAG pipelines to automate pharmacometric and clinical pharmacology processes. Build human-in-the-loop systems, evaluation frameworks, and guardrails; integrate scientific knowledge into AI solutions. Produce production-ready code with engineering best practices, collaborate with cross-functional scientists and engineers, and support cloud deployment and stakeholder presentations.
Our Client, a world leader in Biotechnology is looking for a "Computational Scientist II" for SSF, CA
Job Duration: Long Term Contract (Possibility Of Extension)
Pay Rate: $48 - $49/hr on W2
Company Benefits: Medical, Paid Sick leave, 401K
We are seeking a Computational Scientist II to join and help advance AI-driven drug development. In 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.
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.
Required Qualifications
- 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.
Preferred Qualifications
- 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.
Key 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
If interested, please send us your updated resume at
[email protected]/[email protected]
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