Description

Job Description

Requirements

8 years or more of experience developing, testing, maintaining, and troubleshooting SAS, Python, R, or similar data solutions.

Proficiency in system integration, workflow automation, dashboard development, and healthcare data interoperability.

Experience with structured health data, public health datasets, databases, SQL, relational systems, and data querying.

Experience with eCR, eICR, EHR, HIE, HL7, FHIR, XML, SNOMED CT, public health registries, or surveillance systems.

Experience with ETL pipelines, data linkage, automated validation, requirements documentation, and technical specifications.

Excellent verbal and written communication skills.

Responsibilities

Assess interoperability needs and define technical requirements for integrating electronic health data into registry workflows.

Develop SAS, Python, or R programs to automate data ingestion, processing, clinical review, and dashboard reporting.

Build automated integrations that extract, validate, standardize, link, and load electronic case-reporting data.

Test data workflows for accuracy, completeness, reliability, and processing quality while resolving identified defects.

Create system requirements, technical specifications, workflow documentation, validation procedures, and programming artifacts.

Support registry modernization by evaluating integration limitations and recommending scalable interoperability improvements

Key Skills

Education

Any Graduate