Data Analyst

Convert clinical trial inclusion/exclusion criteria into precise, computable logic.

Build and maintain semantic/business layer structures for patient cohort identification.

Develop complex SQL (CTEs, window functions, UDFs/TVFs) and Python-based data logic.

Collaborate with Data Engineering and AI teams to design scalable cohort models.

Validate data outputs using EHR, claims, labs, and other clinical datasets.

Communicate requirements and results clearly with clinical and product stakeholders.

Strong SQL and Python (procedural programming).

Experience interpreting clinical trial protocols (I/E criteria).

Excellent communication and cross-functional collaboration skills.

Understanding of healthcare data structures and quality assurance methods.

Experience with AWS (S3, Lambda, Athena) or GCP (Cloud Storage, Cloud Functions, BigQuery).

Familiarity with FHIR, OMOP, CDISC, or semantic/ontology modeling.

Background in clinical operations, real-world evidence (RWE), or digital health.

Competitive salary and performance-based incentives

Paid time off and public holidays

Professional development opportunities (training, workshops, certifications)

Access to industry conferences and networking events

Supportive, collaborative, and mission-driven work culture