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Senior AI Engineer
SDC (Statistics & Data Corporation). Research, design, develop, and deploy AI/ML models, LLM-based solutions, and agentic workflows for clinical trial data .
Tech Stack
Tools & technologiesAzurePythonSDLCSQL
About the role
Key responsibilities & impact- Research, design, develop, and deploy AI/ML models, LLM-based solutions, and agentic workflows for clinical trial data
- Automate ingestion, processing, analysis, interpretation, correlation, and visualization of structured and unstructured clinical data
- Develop NLP pipelines and systems to extract, summarize, and derive insights from clinical datasets
- Build and orchestrate agent-based workflows supporting multi-step reasoning, task execution, and enterprise system/API integration
- Maintain and enhance existing AI/ML models, pipelines, analytics solutions, and applications
- Develop and implement improved tools, frameworks, and processes for AI and software development
- Collaborate with internal cross-functional stakeholders to design AI-driven solutions and understand clinical workflows
- Follow best practices for documentation, coding, testing, and deployment of AI-enabled applications
- Develop and contribute to standard operating procedures for AI, agentic workflows, and software development in clinical trial environments
- Prototype new AI capabilities, tools, and technologies through proofs of concept and demonstrations
- Provide mentorship and technical guidance to engineers and data scientists
- Assist with research and design of new models, architectures, and frameworks
- Deliver technical design and software documentation
- Contribute to standards and best practices
- Maintain compliance with SDC business and regulatory requirements
- Perform other related duties
Requirements
What you’ll need- 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 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 translate business and clinical requirements into clear technical solutions
- Effective written and verbal communication with technical and non-technical audiences
- Ability to identify issues, define problems, and implement effective solutions
- Ability to communicate complex AI and technical concepts clearly, concisely, and effectively
- Strong organizational and time management skills; ability to manage multiple priorities
- Strong interpersonal, collaboration, and presentation skills
- Experience applying AI/ML, NLP, or LLM-based solutions within healthcare, life sciences, or clinical research environments
- Familiarity with clinical data standards, including CDISC (SDTM, ADaM), and other regulatory data models
- Exposure to regulated environments, including GxP, FDA compliance, or similar frameworks
- Understanding of clinical trial processes, data collection methods, and operational workflows
- Experience with clinical datasets, patient data, or safety/efficacy analysis
- Familiarity with data governance, validation, and audit requirements within regulated industries
- Experience collaborating with clinical, regulatory, and data management stakeholders
- Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field
- Minimum of 7 years of relevant experience in software engineering, application development, or data science
- Minimum of 3 years of experience in AI/ML, NLP, or large language model solutions
- Experience with structured SDLC frameworks and Agile methodologies
Benefits
Comp & perks- Competitive pay
- Generous time off
- Career advancement opportunities
- Flexible work schedule
- Engaging work culture
- Employee benefits
- Employee recognition program
- Growth opportunities
- Fun and engaging activities through SDC’s culture club
- Positive work/life balance
- Diverse and global work environment