Senior AI Engineer

Statistics & Data Corporation (SDC), a specialized contract research organization (CRO) headquartered in Arizona, delivering top-tier clinical trial services to pharmaceutical, biologic, and medical device/diagnostic companies since 2005. SDC providing a technology enabled service offering to provide clients with both clinical services expertise, as well as the technology they need to be successful in their clinical trials.

Job Summary Perform research, design, and development of Artificial Intelligence (AI) solutions leveraging agentic workflows toward automating the ingestion, processing, analysis, and visualization of clinical trial data. Transform structured and unstructured clinical data into actionable information that supports better understanding of trends, safety signals, and therapy efficacy. Deploy high-performing AI models and agent-based systems into production environments. Work with internal stakeholders to develop solutions that improve efficiency, scalability, and accuracy across clinical data processes. Contribute to the organization’s strategic objective to be at the forefront of applying AI, LLMs, and NLP technologies within clinical trials to enhance data-driven decision making and uncover complex patterns.

Primary Responsibilities

• Design, develop and deploy AI/ML models, LLM-based solutions, and agentic workflows which automate the analysis, interpretation, and correlation of clinical data
• Develop pipelines and systems that leverage NLP to extract, summarize, and derive insights from structured and unstructured clinical datasets
• Build and orchestrate agent-based workflows capable of multi-step reasoning, task execution, and integration with enterprise systems and APIs
• Maintain and enhance existing AI/ML models, pipelines, and applications on a regular basis
• Increase team productivity by developing, identifying, and implementing improved tools, frameworks, and processes for AI and software development
• Engage with internal cross-functional stakeholders to design and implement AI-driven solutions while developing a strong understanding of underlying clinical data and business workflows
• Exemplify best practices in documentation, coding, testing, and deployment of AI-enabled applications
• Develop and contribute to standard operating procedures for artificial intelligence, agentic workflows, and software development practices within clinical trial environments
• Prototype new AI capabilities, tools, and technologies to create proof-of-concepts and demonstrations
• Provide mentorship and technical guidance to engineers and data scientists
• Assist in execution of responsibilities across engineering and data science functions, including the following{{:}}
• Develop and deploy AI/ML models, LLM solutions, and agentic workflows
• Assist in design and research of new models, architectures, and frameworks
• Maintain and enhance existing AI and analytics solutions
• Deliver high-quality technical design and software documentation
• Prototype new ideas and technologies
• Contribute to development and adoption of standards and best practices
• Perform other related duties incidental to the work described herein
• Adherence to all essential systems and processes that are required at SDC to maintain compliance to business and regulatory requirements

The above statements describe the general nature and level of work being performed by individuals assigned to this classification. This document is not intended to be an exhaustive list of all responsibilities and duties required of personnel so classified.

Requirements Required Skills

• Expert in Python and AI/ML libraries, including frameworks supporting NLP and LLM integration
• Strong understanding of AI/ML algorithms and techniques, including natural language processing, classification, clustering, anomaly detection, and information retrieval
• Experience developing and deploying LLM-based applications, agentic workflows, and AI-powered systems in production environments
• Experience working with Microsoft Azure ecosystem, including Azure AI Foundry, Azure OpenAI, and Azure Machine Learning
• Strong proficiency in SQL and working with large-scale structured and unstructured datasets
• Experience with software development lifecycle, including CI/CD and DevOps practices
• Ability to work with stakeholders to translate business and clinical requirements into clear technical solutions
• Ability to communicate ef…