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# ML Engineer-Data Science

- **Company:** Clinvia LLC
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Salary:** $104,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Code Generation, Computer Programming, Databases, Data Validation, Software Debugging, Python (Programming Language), Machine Learning, SAS (Software), Software Engineering, Enterprise Software Applications, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Information Technology, Statistics Packages, Machine Learning Operations, Virtual Agents, GXP
- **Published:** June 30, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=f361dc7b28be60f7

## About the Role

Do you have experience in Statistical analysis tools?, Do you have a Bachelor's degree?, * Bachelor's or Master's degree in Statistics, Computer Science, Data Science, Statistics or a related field.

 * 3+ years of experience in AI/ML development, software development, or pharmaceutical analytics.
 * Strong programming skills in Python.
 * Working knowledge of SAS Programming
 * Experience with Large Language Models (LLMs), Generative AI, and AI Agent frameworks.
 * Knowledge of prompt engineering, RAG architecture, vector databases, and AI orchestration frameworks.
 * Strong analytical and problem-solving skills., * Exposure to Biostatistics and Statistical Programming projects.
 * Experience with AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar technologies.
 * Knowledge of cloud platforms such as AWS, Azure, or GCP.
 * Familiarity with MLOps and AI governance practices., * ML Engineering: 3 years (Preferred)

## Description

We are seeking an ML engineer with experience in developing and deploying AI-powered agents for Dats Science and Statistical Programming environment in CRO/Pharma or Biotech industry. The ideal candidate will combine expertise in Large Language Models (LLMs), and statistical programming to automate clinical trial workflows, improve operational efficiency, and support data-driven decision-making., * Design and develop AI Agents and AI Copilots for Statistical Programming, and Biostatistics functions.

 * Build intelligent workflows to automate SAS programming, clinical reporting, data validation, and documentation tasks.
 * Develop and integrate LLM-based solutions to assist programmers in code generation, review, debugging, and optimization.
 * Collaborate with Data Science team and Business Stakeholders to gather requirements.
 * Create AI solutions for SDTM, ADaM, TLF generation, clinical study reports, and regulatory submission support.
 * Develop Retrieval-Augmented Generation (RAG) systems using clinical and regulatory knowledge repositories.
 * Integrate AI agents with SAS, Python, clinical databases, and enterprise applications.
 * Ensure compliance with GxP, FDA, EMA, and data privacy regulations.
 * Monitor, evaluate, and improve AI agent performance, accuracy, and reliability.
 * Prepare technical documentation, validation plans, and deployment artifacts.


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