Work within the Health division of NECSWS, focusing on maintaining applications, generating reports, creating dashboards, documenting code, and cleansing datasets. Identify data quality issues in large databases, support clinical steering committees' analytical needs, and explore opportunities to deploy machine learning/NLP techniques to health data. The role involves working closely with the data science and analytics team to develop new registries and health data reporting procedures. Key responsibilities include report generation, data cleansing, quality assurance, code maintenance, query writing, and contributing ideas for productivity improvement. Collaborate with data quality, development, business analyst, and data analyst/scientist teams to deliver collaborative outputs. Build a clinical knowledge base and document project work. Upskill and learn new concepts in health data analysis/management.