• Design, build, train, evaluate, and deploy machine learning and generative AI solutions. • Develop and maintain predictive analytics, NLP, computer vision, and LLM-based applications. • Implement Retrieval-Augmented Generation (RAG), agentic workflows, and knowledge management solutions. • Deploy and operate local/open-source models in secure environments. • Design and deploy AI solutions within Azure Government. • Develop data pipelines supporting AI and analytics workloads. • Implement CI/CD pipelines for machine learning and AI workloads. • Collaborate with mission owners, analysts, engineers, cybersecurity personnel, and leadership.

• Lead DTS Development: Author and manage Data Transfer Specifications (DTS) to align external data providers and research partners on required data structures, formats, and templates. • Oversee Data Standardization: Ensure study teams adhere to CDISC standards for external data, including biomarkers, wearable devices, IRT, imaging, and eCOA. • Cross-Functional Collaboration: Serve as the primary contact for external data quality control, participating as an extended member of the Clinical Study Team and facilitating new test codes. • Vendor & Process Management: Provide operational oversight to external data vendors, manage change requests for existing DTS, and contribute to continuous process improvement initiatives. • Data Reconciliation & Compliance: Support data reconciliation, resolve structure inquiries, and comply with all regulatory requirements, including clinical protocols and analysis expectations.

• Build, deploy, and maintain production systems that power Northbeam's measurement products. • Translate statistical and causal inference methodologies into scalable, reliable customer-facing capabilities. • Improve the accuracy, coverage, reliability, and operational robustness of our measurement systems. • Debug data, modeling, and production issues across the full stack, from source data to customer-facing outputs. • Evaluate methodological improvements pragmatically, balancing statistical rigor, implementation complexity, maintainability, and business value. • Partner closely with teammates across Data Science, Engineering, Product, and Customer Success to improve measurement quality and product capabilities. • Explain statistical concepts to customers, troubleshoot measurement issues, and gather feedback to improve Northbeam's products.

• Build, deploy, and maintain production systems that power Northbeam's measurement products. • Translate statistical and causal inference methodologies into scalable, reliable customer-facing capabilities. • Improve the accuracy, coverage, reliability, and operational robustness of our measurement systems. • Debug data, modeling, and production issues across the full stack, from source data to customer-facing outputs. • Evaluate methodological improvements pragmatically, balancing statistical rigor, implementation complexity, maintainability, and business value. • Partner closely with teammates across Data Science, Engineering, Product, and Customer Success to improve measurement quality and product capabilities. • Explain statistical concepts to customers, troubleshoot measurement issues, and gather feedback to improve Northbeam's products.