Employer description & source details
7+ years of experience in clinical, healthcare, or life sciences data, with deep hands-on expertise in clinical trial operations data and real-world clinical data Demonstrated expertise in at least two of the following data domains (all preferred), including how each is sourced, structured, and used: Standards of care: clinical guidelines and treatment pathways (e.g., NCCN, ASCO, specialty society guidelines) and how they map to real-world practice Drug lists: formularies, drug compendia, and reference lists (e.g., NDC, RxNorm, ATC), including brand/generic and indication mapping Study start-up times: site identification, contracting, IRB/ethics approval, and activation timelines across sites and countries Regulatory cycle times: submission-to-approval timelines across agencies and regions (e.g., FDA, EMA, PMDA, NMPA) CTMS data: sites, enrollment, milestones, monitoring, and operational performance Working knowledge of clinical and coding standards (e.g., OMOP, FHIR, HL7, ICD-10, CPT, NDC, LOINC, SNOMED) and data quality frameworks Track record of defining data requirements and quality standards that engineering teams build against Experience evaluating and working with external data vendors and partners Ability to partner with product teams to link data sources to product value and prioritize them accordingly Ability to explain complex clinical data topics clearly to executives, engineers, and customers Hands-on comfort with SQL or equivalent to profile, validate, and investigate data issues Preferred- Bachelor’s degree in a scientific or technical field; advanced degree (e.g., PharmD, MPH, PhD) a plus Background at a pharma, CRO, healthcare data, or health-tech company Experience with CTMS, EDC, or clinical operations platforms Familiarity with entity resolution, mast
Extracted skills: sql, operations