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Health Informatics Director Jobs in Florida (NOW HIRING)

H. Lee Moffitt Cancer Center

AI VALIDATION ANALYST

Tampa, FL · On-site

$37.98 - $47.66/hr

Support the Director in executing emergency pause decisions when AI tools present immediate risk ... Bachelor's Degree in data science, biostatistics, biomedical informatics, computer science, health ...

H. Lee Moffitt Cancer Center

MGR AI GOVERNANCE

Tampa, FL · On-site

$52.72 - $65.93/hr

Direct the continuous monitoring program: define drift, performance degradation, and bias detection ... Bachelor's Degree in health informatics, healthcare administration, computer science, data science ...

UAB

RN-CLINIC-STUDENT HEALTH SERVICES

Tampa, FL

$29.25 - $35/hr

Under general supervision, direct patient care activities are provided to the highest licensure ... Health Informatics, Medical Records, and others to ensure patient documentation is complete ...

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Health Informatics Director information

What are the key skills and qualifications needed to thrive as a Health Informatics Director, and why are they important?

To thrive as a Health Informatics Director, you need expertise in health information management, data analytics, and healthcare regulations, typically supported by a degree in health informatics or a related field and several years of relevant experience. Familiarity with electronic health record (EHR) systems, data security protocols, and certifications such as Registered Health Information Administrator (RHIA) or Certified Professional in Healthcare Information and Management Systems (CPHIMS) is often required. Strong leadership, communication, and project management skills are essential for guiding teams and collaborating with stakeholders. These competencies ensure effective integration of technology in healthcare, improving patient outcomes and organizational efficiency.

What are some common challenges faced by Health Informatics Directors when implementing new health IT systems across a healthcare organization?

Health Informatics Directors often encounter challenges such as resistance to change among staff, integrating new systems with existing technologies, and ensuring data privacy and security compliance. They must facilitate effective communication between IT professionals, clinical staff, and administrators to align system capabilities with clinical workflows. Overcoming these challenges requires strong leadership, a collaborative approach, and ongoing training to ensure smooth adoption and optimal use of health IT systems.

What is a Health Informatics Director?

A Health Informatics Director is a senior professional responsible for overseeing the management and integration of health information systems within healthcare organizations. They lead teams that implement technologies to improve patient care, ensure the quality and security of health data, and comply with healthcare regulations. Their work involves collaborating with IT staff, clinicians, and administrators to develop strategies for using data to enhance healthcare delivery. Health Informatics Directors also play a critical role in training staff and ensuring ongoing system improvements.

What is the difference between Health Informatics Director vs Health Information Manager?

AspectHealth Informatics DirectorHealth Information Manager
CredentialsTypically requires a master's degree in health informatics, health information management, or related field; certifications like RHIA or CHIM are commonUsually requires a bachelor's degree in health information management or related field; RHIA certification often preferred
Work EnvironmentOversees health IT systems, data analytics, and informatics strategies across healthcare organizationsManages health records, coding, and compliance within healthcare facilities
Employer & Industry UsageUsed in hospitals, health systems, and healthcare IT companies for strategic informatics rolesFound in hospitals, clinics, and healthcare organizations focusing on record management

The main difference is that the Health Informatics Director focuses on strategic planning, system implementation, and data analytics, while the Health Information Manager handles day-to-day management of health records and compliance. Both roles require health information credentials but differ in scope and responsibilities.

What are the most commonly searched types of Health Informatics jobs in Florida? The most popular types of Health Informatics jobs in Florida are:
What are popular job titles related to Health Informatics Director jobs in Florida? For Health Informatics Director jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Health Informatics Director jobs in Florida look for? The top searched job categories for Health Informatics Director jobs in Florida are:
What cities in Florida are hiring for Health Informatics Director jobs? Cities in Florida with the most Health Informatics Director job openings:
Health Informatics Director jobs near you
AI VALIDATION ANALYST

AI VALIDATION ANALYST

H. Lee Moffitt Cancer Center

Tampa, FL • On-site

$37.98 - $47.66/hr

Full-time

Posted 29 days ago

Moffitt Cancer Center rating

8.1

Company rating: 8.1 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

71st of 864 rated healthcare providers

Job description

Position Highlights:
The AI Validation Analyst is the technical specialist on the AI Governance Operations team, responsible for executing local validation testing, managing continuous performance monitoring, and coordinating incident response for AI tools across Moffitt's portfolio. This role bridges the gap between clinical/operational end users and the technical realities of AI performance - translating model outputs, drift metrics, and validation results into governance-actionable findings. The Analyst works closely with faculty validation consultants, IT/platform teams, clinical departments, and vendor technical contacts.
Responsibilities:
Local Validation Testing and Analysis
  • Design and execute validation test plans for AI tools deployed or proposed for deployment at Moffitt, with emphasis on Tier 1 (high-risk) clinical AI.
  • Conduct local performance validation using Moffitt data, including sensitivity/specificity analysis, subgroup performance evaluation (demographics, disease subtypes), and failure mode analysis
  • Coordinate with faculty validation consultants (pathology, radiology, data science) to execute domain specific validation protocols.
  • Evaluate vendor-provided validation evidence for sufficiency, including assessment of training data representativeness, external validation studies, and applicability to Moffitt's oncology patient population.
  • Produce validation reports documenting methodology, findings, residual risks, and recommendations for AIGC review.

Continuous Monitoring
  • Develop and manage the continuous monitoring program for deployed AI tools, including definition of performance metrics, drift detection thresholds, and alert triggers appropriate to each risk tier.
  • Monitor AI tool performance for accuracy degradation, data drift, concept drift, and bias emergence using vendor-provided dashboards, internal analytics, and manual audit sampling.
  • Execute scheduled review cycles aligned to risk tier (Tier 1: 6- month, Tier 2: 12-month, Tier 3: 24 month) and produce monitoring reports for AIGC.
  • Identify when performance degradation or environmental changes warrant escalation, revalidation, or tool retirement.

Escalation and Incident Response
  • Serve as the first responder for AI-related adverse events (aiAE), near-misses, and performance incidents.
  • Coordinate incident investigation, root cause analysis, and remediation in partnership with clinical quality, patient safety, IT, and vendor contacts.
  • Maintain an aiAE log integrated with Moffitt's existing quality and safety reporting systems
  • Support the Director in executing emergency pause decisions when AI tools present immediate risk.

Risk Evaluation Support
  • Provide technical input to the 7-question risk scoring process, particularly for questions related to clinical decision influence, human override capability, and scope of harm.
  • Contribute to Tier 1 parallel specialist review tracks, specifically the Clinical Safety Track (validation requirements, failure modes, human oversight design).
  • Score the residual risk factors owned by the Clinical Safety specialist track (Nature of Impact, Scale of Impact, Reversibility, Likelihood of Harm, Autonomy Level) as part of the Integrated Residual Risk Profile for Tier 1 and Tier 2 reviews; provide technical input to Data & Privacy track on Transparency factor assessments.
  • Assess AI tools for equity and bias risks, particularly in oncology specific populations.

Technical Documentation and Knowledge
  • Maintain technical documentation standards for validation protocols, monitoring configurations, and incident response procedures.
  • Prepare and maintain "AI Governance Model Cards" for all the AI tools deployed inside Moffitt.
  • Stay current on AI/ML validation methodologies, healthcare AI safety research, and regulatory guidance (FDA AI/ML SaMD action plan, CHAI/Joint Commission recommendations).
  • Contribute to the development of Moffitt-specific validation standards for common AI tool categories (clinical decision support, imaging AI, NLP, ambient documentation).

Credential and Qualifications:
  • Bachelor's Degree in data science, biostatistics, biomedical informatics, computer science, health informatics, clinical research, or related field required.
  • 3+ years of experience in data analysis, biostatistics, clinical research analytics, AI/ML model evaluation, health informatics, or a related technical role.
  • Hands-on experience with quantitative analysis - statistical testing, performance metric calculation (sensitivity, specificity, AUC, PPV/NPV), or equivalent analytical methods.
  • Experience working with healthcare data (EHR data, clinical datasets, imaging data, or claims data)
  • Experience producing technical reports or analyses for non-technical audiences.

Preferred Experience
  • Experience in an NCI-designated cancer center or academic medical center.
  • Experience validating clinical AI/ML tools (e.g., clinical decision support, diagnostic imaging AI, NLP for clinical text).
  • Experience with model monitoring tools or platforms (e.g., Fiddler AI, Arthur AI, Evidently, vendor-specific monitoring dashboards).
  • Experience with FDA SaMD regulatory processes or clinical trial data analysis.
  • Experience with bias and equity auditing in AI systems.
  • Familiarity with oncology-specific data, workflows, and patient populations.

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