Healthcare Informatics & Data Systems Specialist

Med Clinic X; San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Med Clinic X is seeking a Medical Informatics Specialist to design, implement, and optimize healthcare information systems across digital health platforms in the United States. You will bridge clinical workflows with IT systems, ensuring accurate data capture, structured data models, and robust interoperability across EHR/EMR, SaaS platforms, and clinical apps.

You will collaborate with engineers, clinicians, and product teams to improve data usability, system performance, and patient care

Qualifications

• Bachelor’s in Health Informatics, Nursing, IS, CS, or related field.
• Experience in clinical informatics or clinical systems analyst roles.
• Strong understanding of clinical workflows, documentation, and EMR data structures.
• Excellent verbal/written skills to coordinate clinical and engineering pipelines.

Responsibilities

• Analyze clinical workflows and translate them into informatics requirements.
• Support implementation and optimization of EHR/EMR systems.
• Improve clinical data accuracy, consistency, and usability.
• Assist in designing healthcare data models and documentation standards.
• Collaborate with engineering and product teams on healthcare system design.
• Translate clinical requirements into technical specifications.
• Support testing and validation of healthcare software systems.
• Contribute to improving healthcare SaaS and digital health platforms.

Skills

Clinical informatics

Clinical workflows

Data modeling

Data quality

Communication skills

Education

Bachelor's in Health Informatics, Nursing, IS, CS, or related field

Tools

HL7 & FHIR

SQL

Epic / Cerner knowledge

Job description

Med Clinic X is seeking a Medical Informatics Specialist to design, implement, and optimize healthcare information systems across digital health platforms in the United States. You will bridge clinical workflows with IT systems, ensuring accurate data capture, structured data models, and robust interoperability across EHR/EMR, SaaS platforms, and clinical apps.

You will collaborate with engineers, clinicians, and product teams to improve data usability, system performance, and patient care