Kids Are Our Everything. Department 10017 Enterprise Data and AI Pay Range $110,052.80 - $183,414.40 Why Join Children’s National IT Children’s National Hospital’s Information Technology team is dedicated to advancing pediatric healthcare through innovative technology solutions that support clinical care, research, operations, and patient experience. The department partners closely with physicians, nurses, researchers, and business leaders to design, implement, and optimize enterprise-wide systems that improve patient outcomes, operational efficiency, and organizational performance. The IT organization encompasses a broad range of specialties, including Digital Health, Epic and Clinical Applications, Cybersecurity, Data & Analytics, Artificial Intelligence, Infrastructure & Cloud Services, Software Development, Enterprise Architecture, Project and Program Management, IT Operations, and Information Security. Teams collaborate on high-impact initiatives such as electronic health record (EHR) optimization, digital transformation, data-driven decision making, cybersecurity protection, cloud modernization, and emerging healthcare technologies. Children’s National IT professionals are committed to innovation, continuous improvement, and service excellence while supporting one of the nation’s leading pediatric healthcare organizations. The department fosters a collaborative, mission-driven environment where technology professionals have the opportunity to make a meaningful impact on the lives of children and families every day. Mission-driven organization focused on improving children’s health. Enterprise-scale technology and digital transformation initiatives. Collaborative partnerships with clinical, operational, and executive leaders. Opportunities to work with cutting-edge healthcare technologies. Strong emphasis on innovation, cybersecurity, analytics, and digital health. Commitment to professional development, continuous learning, and career growth. Direct impact on patient care, research, and healthcare delivery excellence. Description Build scalable, production ready machine learning and statistical models to improve healthcare data latency through automation. This role will focus on advanced statistical and machine learning solutions collecting, cleansing, interpreting large volumes of data from varying sources, designing and delivering production ready models, monitoring and maintaining models' health in production, all while communicating key findings with stakeholders. Minimum Education Bachelor's Degree A Bachelor’s degree in a quantitative/statistical or business field (e.g., Statistics, Mathematics, Engineering, Computer Science). (Required) Master's Degree Masters Preferred. (Preferred) Minimum Work Experience 6 years Requires deep functional knowledge with 6+ years of related experience or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. (Required) Required Skills/Knowledge Experience working in a heavily regulated industry. Healthcare is a plus. Advanced course in machine learning and programming. Experience working with global distributed multicultural teams. Experience with agile leadership. Experience with building, delivering and maintaining production ready machine learning models. Knowledge of statistical data analysis and machine learning such as linear models, time series forecasting, neural network, random forest and NLP models, etc. Expert in Python coding and utilization of machine learning and statistical packages for modeling. Experience With Database Skills, SQL, NoSQL, Coding For ETL. In depth understanding of machine learning algorithms such as random forest, neural network, graph models, NLP, etc. Familiarity with Spark, Azure, Databricks, MLFlow AutoML. Experience and familiarity with backlog management tools and resources, ideally with JIRA and Confluence. Seeks to acquire knowledge in area of specialty. Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions. Ability to work independently. Demonstrated analytical skills. Demonstrated project management skills. Demonstrates a high level of accuracy, even under pressure. Demonstrates excellent judgment and decision-making skills. Ability to communicate and make recommendations to leadership. Ability to drive multiple projects to successful completion. Possesses technical aptitude. Excellent verbal and written communication skills, communicate complex findings in a clear and understandable manner Excellent facilitation ability to host sessions and elicit ideas from others, understanding their issues and encourage group participation Attention to detail. Communicate complex findings in a clear and understandable manner Collaborate effectively with cross-functional teams Adapt to changing priorities and thrive in a dynamic environment Functional Accountabilities • Designs, develops and delivers statistical and/or machine learning models that solve business problems and work with engineers to make them production ready. • Develops, utilize and monitor end-to-end machine learning pipeline from data ETL to model delivery for product ionization. • Leads rapid prototyping for new business problems to support feasibility analysis for AI products. • Shares complex ideas verbally and visually wit broad audience from technical and non-technical background • Builds and adopts solutions to automate and integrate data science processes. • Researches latest and best solutions to solve data challenges at hand. • Interprets and communicates results of complex models with cross functional team and the stakeholders. • Generate internal implementations to achieve results. • Work closely with the software engineering teams to drive scalable, production ready implementations. • Collaborate with teams across the organization. • Document technical work as part of the production deployment process. • Contribute to our evolving cloud infrastructure and data engineering pipeline. • Contribute to scientific software engineering efforts utilizing professional coding standards. • Collaborate with business partners to develop new models and concepts for continuous improvement. • Performs other duties as assigned. • Complies with all policies and standards. The disclosed salary range includes the minimum and maximum rates within which Children’s National believes an individual’s base pay rate will fall for this position. It is not typical for an individual to be hired at or near the maximum of the pay range. The exact pay rate for this position will be based on a variety of factors in alignment with the Children’s National compensation philosophy. These factors are legitimate and non-discriminatory including, but not limited to, the current market conditions; organizational needs; the individual’s combination of prior work experience, level of education, knowledge, skills, and other qualifications. Children’s National is committed to providing a fair and competitive total rewards package to each of our employees. This base salary range does not include our comprehensive benefits package or any additional compensation for which this position may be eligible. Childrens National Hospital is an equal opportunity employer that evaluates qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender, identity, or other characteristics protected by law. The “Know Your Rights” poster is available here: and the pay transparency policy is available here: Know Your RightsPay Transparency Nondiscrimination Poster. Please note that it is the policy of Children's National Hospital to ensure a “drug-free” work environment: a workplace free from the illegal use, possession or distribution of controlled substances (as defined in the Controlled Substances Act), or the misuse of legal substances, by all staff (management, employees and contractors). Though recreational and medical marijuana are now legal in the District of Columbia, Children's National and its affiliates maintain the right, in accordance with our policy, to enforce a drug-free workplace, including prohibiting recreational or prescribed marijuana.