Offer summary

Qualifications:

Proficiency in Python, Java, or C++, 3+ years experience automating test data, Working knowledge of Scala, Strong database acumen, SQL optimization, Knowledge of data anonymization techniques.

Key responsabilities:

Create test data until the program is operational

Develop a scalable test data program using Synthea

Implement data versioning and tracking mechanisms

Create user-friendly reports for stakeholders

Support CDSC teams in resolving test data challenges

Job description

DocMe360 is looking for a dynamic Clinical Test Data Engineer to join our innovative Clinical Decision Support Collaborative (CDSC) Shared Support Services (SSS) team. In this role, you will work with our VistA SME in designing, developing, and maintaining a cutting-edge program that creates and manages contextually relevant test data for Veteran Affairs (VA) healthcare clinical applications. This program will have to ultimately populate a Computerized Patient Record System (CPRS) test environment. Utilizing Synthea (Synthetic Patient Population Simulator), the open-source Data-Oriented Differential Testing tool, you'll play a pivotal role in ensuring the precision and dependability of our clinical decision applications within the VA healthcare ecosystem. This is a contract-to-hire position.

Responsibilities

Manually create test data to meet CDSC team needs until the test data program is operational.
Work with the VistA SME in the creation of a robust, scalable program, leveraging Synthea and other advanced tools, to automate the creation of contextually relevant test data to be loaded into CPRS VistA.
Ensure the test data created reflects the clinical decision use cases identified within the CDSC program for the VA healthcare system.
Spearhead the implementation of data versioning and tracking mechanisms, meticulously managing changes in test data over time to meet the dynamic CDSC landscape.
Craft data archiving and restoration processes, strategically designed for CDSC.
Develop and implement test data management strategies and policies to ensure efficient and effective use of test data resources.
Create user-friendly reports and documentation, focusing on stakeholder identified metrics and standards, to drive excellence in cross-training, collaboration, and usage.
Extend expert support to CDSC teams in diagnosing and resolving test data-related challenges during testing.
Work with the CDSC security team experts to ensure the test data strategy and program adheres to VA regulations, with meticulous care and diligence.

Requirements

Proficiency in programming languages such as Python, Java, or C++.
3+ years experience automating contextually relevant test data.
Has working knowledge and understanding of Scala.
Command over data anonymization and de-identification techniques.
Strong database acumen, encompassing SQL query optimization and data manipulation.
Exceptional problem-solving and communication skills.
A knack for collaborative teamwork in a dynamic, cross-functional environment.

Preferred:

Knowledge and hands-on experience with CPRS and VA healthcare systems is highly coveted.
Demonstrated expertise with Object-Relational Mapping (ORM) systems and Synthea is recommended.
Familiarity with VA-specific clinical data standards and the healthcare domain.
Familiarity with MUMPS.

Benefits

This is a contract-to-hire position. The benefits listed below are for full-time W2 employees.