Programmer Analyst

Machine Learning Technologies, LLC; Austin (TX); On-site; USD 110,000 - 160,000; Full time

Job summary

Machine Learning Technologies, LLC in Austin, TX is seeking a data engineer/analyst to drive eICR integration with the Texas Birth Defects Registry (TBIRDS). You will assess requirements, design automated data pipelines, and implement SAS, Python, and R solutions to ingest, validate, and integrate electronic health data into registry systems.

The role includes building interactive dashboards, performing data quality checks, and collaborating with BDESB teams to define interoperability needs.

Qualifications

• Proficiency with SAS, Python and/or R for data processing
• Experience designing automated data workflows and pipelines
• Knowledge of data validation, quality checks, and record linkage

Responsibilities

• Ingest, process, validate, and integrate eICR data into TBIRDS and registry systems
• Build interactive dashboards and reporting to support data analysis and clinical review processes
• Automate data extraction, transformation, standardization, and ingestion workflows
• Prepare technical documentation covering scripts, workflows, validation procedures, and interoperability requirements
• Collaborate with BDESB teams and stakeholders to define data integration requirements and improvements

Skills

SAS

Python

R

Data Integration

Data Quality

ETL

Dashboards

Job description

Conduct business and technical needs assessments to identify requirements for integrating Electronic Case Reports (eICRs) into the Texas Birth Defects Registry (TBIRDS).

Design and develop automated solutions to ingest, process, validate, and integrate eICR data into existing registry systems.

Develop and maintain programming scripts, workflows, and applications using SAS, Python, R, and other statistical programming tools.

Build interactive dashboards and reporting solutions to support data analysis, case management, and clinical review processes.

Automate data extraction, transformation, standardization, and ingestion workflows to improve registry operations.

Develop automated processes to identify and prioritize cases for clinical review.

Perform data validation, data quality checks, record linkage, and standardization to ensure accuracy, completeness, and reliability.

Test, troubleshoot, and optimize SAS, Python, and R programs to improve system performance and data processing efficiency.

Prepare technical documentation covering programming scripts, workflows, validation procedures, system integrations, and maintenance processes.

Develop system requirements documents, technical specifications, and workflow documentation for interoperability initiatives.

Collaborate with BDESB teams, technical partners, and business stakeholders to define data integration requirements.

Evaluate existing registry workflows and recommend improvements for healthcare data interoperability and automation.

Support registry modernization initiatives by incorporating electronic health data into existing systems.

Identify integration challenges, technical limitations, and opportunities for future system enhancements.

Ensure data integrity, security, consistency, and compliance throughout healthcare data integration processes.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.