制药 AI/ML 工程师(统计生产)
Pharma AI/ML Engineer for Statistical Production
职位名称:统计生产AI/ML工程师
工作地点:北卡罗来纳州达勒姆,美国
工作地点类型:远程
工作合同类型:全职
职位级别:
SP - AI/ML FSP顾问
主要职责概述
- 设计和开发用于统计编程的AI解决方案,为多个研究和用例提供可扩展、模块化、安全且可重用的架构。
- 构建端到端的生成式AI和代理工作流,涵盖数据和元数据的摄入、检索、推理、工具使用、代码生成、执行、验证和人工审核。
- 开发RAG和基于知识的解决方案,整合组织标准、元数据、规范、历史研究资产、编程惯例和其他批准的知识来源。
- 开发模块化的AI服务、API和可重用组件,适当分离确定性业务规则和标准与概率性AI/大语言模型(LLM)推理和生成。
- 实现AI可靠性、可重复性和质量的控制措施,包括结构化输入/输出、提示和模型版本管理、验证规则、自动化评估、回归测试以及AI生成成果的质量检查。
- 构建可追溯性和人机协作功能,支持审核、批准、反馈、异常处理、审计追踪以及从源信息和检索内容到生成输出的溯源。
- 支持在开发、测试、验证和生产环境中实施LLMOps实践,包括Git/CI/CD、监控、日志记录、模型和提示生命周期管理、安全性以及性能和成本优化。
- 与统计编程、企业架构、IT/云、安全、验证和治理团队合作,将AI概念验证转化为可扩展的企业级解决方案,同时评估新兴的AI技术和架构模式。
- 其他指定任务。
任职要求
- 计算机科学、工程、人工智能或数据科学专业的学士或硕士学位
- 2年以上软件工程、AI/ML工程、数据工程或相关技术岗位的实际工作经验,有构建和部署高质量生产应用的经验。
- 有开发生成式AI/大语言模型(LLM)解决方案的实际经验,了解RAG、提示/上下文工程、嵌入、向量搜索、结构化输出等。
查看英文原文
Job Title: Pharma AI/ML Engineer for Statistical Production
Job Location: Durham, North Carolina, United States of America
Job Location Type: Remote
Job Contract Type: Full-time
Job Seniority Level:
SP - AI/ML FSP Consultant
Summary of Key Responsibilities
- Design and develop AI-enabled solutions for Statistical Programming, contributing to a scalable, modular, secure, and reusable architecture across multiple studies and use cases.
- Build end-to-end Generative AI and agentic workflows encompassing data and metadata ingestion, retrieval, reasoning, tool use, code generation, execution, validation, and human review.
- Develop RAG and knowledge-driven solutions that integrate organizational standards, metadata, specifications, historical study assets, programming conventions, and other approved knowledge sources.
- Develop modular AI services, APIs, and reusable components, appropriately separating deterministic business rules and standards from probabilistic AI/LLM-based reasoning and generation.
- Implement controls for AI reliability, reproducibility, and quality, including structured inputs/outputs, prompt and model versioning, validation rules, automated evaluation, regression testing, and quality checks of AI-generated artifacts.
- Build traceability and human-in-the-loop capabilities supporting review, approval, feedback, exception handling, audit trails, and lineage from source information and retrieved context through generated outputs.
- Support deployment and LLMOps practices across development, testing, validation, and production environments, including Git/CI/CD, monitoring, logging, model and prompt lifecycle management, security, and performance/cost optimization.
- Collaborate with Statistical Programming, Enterprise Architecture, IT/Cloud, Security, Validation, and Governance teams to transition AI proofs of concept into scalable enterprise solutions while evaluating emerging AI technologies and architectural patterns.
- Other duties as assigned.
Qualifications
- Bachelor’s or master’s degree in computer science, Engineering, Artificial Intelligence, Data Science
- 2+ years of hands-on experience in software engineering, AI/ML engineering, data engineering, or related technical roles, with demonstrated experience building and deploying production-quality applications.
- Hands-on experience developing Generative AI/LLM solutions, with knowledge of RAG, prompt/context engineering, embeddings, vector search, structured outputs, tool/function calling, and agentic AI workflows.
- Strong programming skills in Python and experience with modern software engineering practices, including modular design, APIs, Git, automated testing, CI/CD, and preferably containerized/cloud-based applications.
- Experience working with AWS and familiarity with cloud-based AI/ML services, data storage, security/access controls, logging, and monitoring.
- Understanding of AI reliability and evaluation concepts, including reproducibility, hallucination mitigation, validation, prompt/model versioning, automated evaluation, regression testing, traceability, and human-in-the-loop approaches.
- Strong analytical and problem-solving skills with the ability to work across technical and business teams; experience in pharmaceutical/biotechnology or regulated environments and familiarity with clinical data, Statistical Programming, SAS/R, CDISC/SDTM/ADaM, or GxP principles is preferred but not required.
- Good communication and organizational skills required
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at
IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law.
IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.
The potential base pay range for this role, when annualized, is $117,500.00 - $327,200.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.
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Originally posted on Himalayas