• Own product strategy, roadmap, and execution for a clinical data domain spanning the full care continuum • Lead end-to-end product development, from discovery through delivery, across cross-functional teams including data science, data engineering, and software engineering • Translate clinical and claims data into actionable analytics, including transitions of care analysis, patient outcomes, performance benchmarking, referral patterns, cost, and network leakage • Identify and integrate AI/ML-driven capabilities (e.g., predictive analytics, risk stratification, anomaly detection) to enhance clinical insights and drive smarter decision-making for value-based care and post-acute providers • Build and ship AI-powered product features, from concept through adoption, including generative AI, predictive models, and intelligent automation embedded directly into clinical and operational workflows for users • Use AI tools daily across the full product lifecycle, including discovery, prototyping, requirements definition, stakeholder communication, and GTM enablement • Drive measurable business outcomes including ARR growth, customer retention, and NPS, ensuring product investments deliver impact • Own the clinical narrative around care transitions, including discharge planning, referral patterns, and cross-setting patient flow, translating those workflows into product requirements • Independently prioritize and manage the product backlog, balancing clinical user needs, business value, and technical investment • Collaborate with GTM teams (Sales, Marketing, Customer Success) to support positioning, enablement, and successful product launches • Conduct market and competitive analysis to inform product direction and identify opportunities for clinical and AI-driven innovation • Champion a product-led mindset, driving clarity, accountability, and continuous improvement across teams

• Design and develop enterprise-grade Generative AI applications using state-of-the-art Large Language Models. • Architect scalable Retrieval-Augmented Generation (RAG) systems for enterprise knowledge retrieval. • Develop AI assistants, copilots, chatbots, document intelligence solutions, and autonomous AI agents. • Build domain-specific NLP solutions for document processing, search, summarization, classification, information extraction, and question answering. • Work extensively with open-source and commercial LLMs including GPT, Llama, Mistral, Qwen, Claude, Gemini, DeepSeek, and similar foundation models. • Select appropriate model architectures based on enterprise use cases • Work on the latest applications of data science to solve business problems • Work directly with client stakeholders to translate business problems into high level analytics solution designs • Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value

Role Description The Statistician will provide advanced statistical, analytical, and scientific support to the National Center on Birth Defects and Developmental Disabilities (NCBDDD) at the Centers for Disease Control and Prevention (CDC) surveillance, epidemiologic, and research activities. The Statistician will collaborate with CDC scientists, epidemiologists, clinicians, awardees, and external partners to design, analyze, validate, and disseminate findings from public health research and surveillance projects focused on birth defects, developmental disabilities, maternal and child health, and related conditions. The Statistician will serve as both a lead and validation analyst on complex public health studies, supporting all phases of the research lifecycle, including study design, analytic plan development, data management, statistical programming, data analysis, interpretation of results, scientific dissemination, and peer-reviewed publication. Qualifications - Demonstrated expertise in applying a broad range of statistical and biostatistical methods to public health research, surveillance, and evaluation activities. - Advanced proficiency in SAS and R for data preparation, validation, management, analysis, and automation of reproducible workflows. - Knowledge of epidemiologic principles, surveillance systems, and population-based research methodologies. - Ability to communicate complex statistical concepts and findings to technical and non-technical audiences. - Proven ability to work effectively with multidisciplinary teams. Requirements - Master's degree in Statistics, Biostatistics, Epidemiology, Data Science, Mathematics, Public Health, or a related quantitative discipline. - Minimum five years of experience conducting statistical analyses in public health, epidemiology, healthcare research, or surveillance environments. - Advanced proficiency in SAS and R programming. - Experience managing and analyzing large, complex clinical, surveillance, or population-based datasets. - Demonstrated experience developing statistical analysis plans and conducting multivariable analyses. - Experience supporting scientific publications, technical reports, and research dissemination activities. - Strong written and verbal communication skills. Benefits - The annual salary for this position is $115,000 to $130,000. - Comprehensive benefits package, including medical, dental, and vision insurance. - 401(k) plan with company matching. - Tax-deferred savings options. - Supplementary benefits. - Paid time off. - Professional development opportunities.

• Lead and support SEND data projects • Analyse data and develop data tools • Work with local authority and health partners • Share good practice across organisations • Help improve how education, health and care services use data