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Protocol Intelligence
Data-driven signals on your job's competitivenessRemote role but requires niche RWE, OMOP and Databricks expertise, reducing qualified applicant density.
Strong healthcare RWE and OMOP specialization makes skills poorly transferable across industries.
Many mandatory technical and domain-specific requirements (OMOP, Databricks, PySpark, healthcare standards), so strict filtering.
Job Description
Structured overview of role & requirementsAbout This Role
Develop and automate patient-level data products for use in dashboards, reports, and studies supporting Real World Evidence (RWE) initiatives.
Transform heterogeneous raw healthcare datasets into reusable data models compliant with OMOP CDM standards and create FAIR, AI-ready data pipelines to enhance interoperability and analytics.
Engage technically with stakeholders and internal teams to translate requirements into data structures, maintain documentation, validate data quality, and troubleshoot ETL issues.
Minimum Requirements
Strong expertise in OMOP CDM version 5.4 or 6 and healthcare data models and terminologies such as SNOMED CT, RxNorm, ICD-10, LOINC, and HCPCS/CPT.
Proven experience building scalable ETL/ELT pipelines using Databricks, PySpark, Spark SQL, SQL, Delta Lake, and working with large-scale healthcare datasets.
Demonstrated skills in Power BI development, data modeling, automated data quality frameworks, and semantic data engineering with cloud-based platforms.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in Real World Data (RWD) and Real World Evidence (RWE) within healthcare, capable of assessing business needs and recommending appropriate datasets for analytical use cases.
Technical proficiency in constructing FAIR-compliant, scalable data pipelines and producing AI-ready data products in cloud/distributed environments.
Ability to collaborate with multi-disciplinary teams including epidemiologists, statisticians, and IT to create validated, documented, and interoperable data solutions for observational and epidemiological studies.