Senior Healthcare Data Specialist

Role Summary/Overview:

This senior-level position is pivotal in the end-to-end design, development, implementation, deployment, and maintenance of robust healthcare data collection and processing systems. These systems are intended for and support critical observational studies, including population health, disease monitoring, clinical trials, and health surveillance. The Senior Healthcare Data Specialist will champion and oversee the entire lifecycle of these systems, from conception to ongoing maintenance, with a primary emphasis on ensuring data integrity, quality, and adherence to U.S. healthcare standards. The goal is to deliver solutions that are well-architected, scalable, maintainable, and meet stakeholder needs. This role requires operating during U.S. East Coast business hours.

Key Responsibilities:

• Project Leadership & Solution Delivery: Lead and manage the full lifecycle of healthcare data system implementation projects, ensuring their completion on-time, on-budget, and in accordance with stakeholder requirements.
• Solution Design & Implementation: Design, develop, implement, and maintain well-architected, scalable, and maintainable solutions to address intricate and complex healthcare data challenges.
• Data Modeling, Analysis & Management:
  • Conduct comprehensive data modeling, encompassing both relational and non-relational approaches.
  • Perform data analysis to optimize data structures and integrity.
  • Apply healthcare data models and standards (e.g., HL7 FHIR, OMOP) consistently and correctly.
  • Accurately interpret, describe, convert, and integrate data from disparate, idiosyncratic, or custom data models into standardized formats.
  • Ensure good data management practices for healthcare datasets intended for scientific use, maintaining data integrity, security, and HIPAA compliance.
• Technical Problem Solving & Expertise:
  • Diagnose, troubleshoot, and resolve complex technical issues related to data systems to minimize disruptions, ensure data accuracy, and maintain system uptime.
  • Stay current with and maintain knowledge of evolving healthcare data standards (e.g., HL7 FHIR, OMOP), models, and technologies, and drive their effective implementation.
• Documentation & Communication:
  • Create, produce, and maintain comprehensive, clear, concise, and accurate technical and standard business documentation for all processes, procedures, system designs, and solutions to facilitate clarity, reproducibility, and effective knowledge transfer. This includes process flow diagrams, workflow diagrams, sequence diagrams, state flow diagrams, and Entity-Relationship Diagrams (ERDs).
  • Effectively communicate complex technical information to diverse audiences, including cross-functional teams, external stakeholders, customers, and senior leadership, managing expectations appropriately.
• Collaboration & Integration: Work closely and collaborate effectively with cross-functional teams and external stakeholders to ensure the seamless integration of healthcare data solutions.
• Mentorship: Train and mentor junior team members to enhance overall team capabilities.
• Operational Alignment: Work in alignment with U.S. East Coast business hours.

Required Qualifications:

• Education & Experience:
  • Bachelor's degree in Health Informatics, Computer Science, or a related field (or equivalent experience).
  • 7+ years of hands-on experience in implementing healthcare data collection and processing systems.
• Healthcare Data Expertise:
  • Proficiency and expertise in data modeling (relational and non-relational) and applying various healthcare data models (e.g., HL7 FHIR, OMOP) to solve practical problems.
  • In-depth knowledge and practical application of healthcare data standards, particularly HL7 (especially FHIR).
  • Proven ability to work with, describe, convert, and integrate idiosyncratic or custom data models into standard formats.
• Technical & Analytical Acumen:
  • Proven ability to independently troubleshoot and resolve complex technical problems in healthcare data systems and integration.
  • Strong analytical and problem-solving skills, with a focus on healthcare data challenges.
  • Proficiency with distributed version control systems, preferably Git, for collaborative development and documentation.
• Communication & Project Management Skills:
  • Excellent written and verbal communication skills, capable of explaining complex technical healthcare data concepts clearly and concisely to both technical and non-technical audiences, including senior leadership and customers (including VP and Executive