Computational Scientist II

Job Duration: Long Term Contract (Possibility Of Extension)

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.

• 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.
  

• 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.
  

• 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]