• Collaborate with product leads and cross-functional teams to understand business and partner requirements and translate them into analytic and data product specifications. • Lead the data science and analytics work to shape, structure, and define target schemas for large-scale clinical and genomic datasets, supporting the development of RWD/RWE assets and data products. • Develop high-quality analytic outputs (studies, dashboards, benchmarks) that demonstrate GeneDx’s unique value and inspire partners to apply insights to address high-priority healthcare challenges. • Wrangle, clean, and analyze large-scale healthcare datasets using SQL, R, and/or Python to scope analytic use cases, assess feasibility, and deliver studies and dashboards within agreed timelines. • Build reproducible queries and workflows to support data product development, cohort building, and analytic deliverables. • Validate data quality, investigate data issues, and provide feedback to inform product development and data engineering efforts. • Apply knowledge of clinical terminologies (ICD, SNOMED, LOINC, RxNorm, NDC) and data standards (HL7, FHIR) to ensure data products are interoperable and meet industry requirements. • Engage with clinical, quality, and operational leaders by delivering case studies, interactive demos, and analytic outputs that showcase GeneDx’s differentiated capabilities. • Use AI and advanced analytics thoughtfully to accelerate insight generation, test hypotheses, and support data-driven decision-making. • Clearly communicate complex findings, data product capabilities, and recommendations to both technical and non-technical audiences. • Mentor and support junior analysts, fostering their professional growth and development. • Stay current with industry trends, regulatory requirements, and advancements in clinical informatics, genomics, and digital health.