Fractional Data Science & Neuroinformatics Leader

Data Science & Neuroinformatics Leader

POSITION SUMMARY

The Neurotechnologist (Data & Analytics Focus) will play a foundational role in building Innercore Health's data science, neurophysiology analytics, and human performance insights capabilities. This individual will lead the integration and analysis of brain-based and multi-modal biometric datasets, helping translate complex physiological signals into actionable insights that drive resilience, recovery, and performance optimization.

This role blends neuroscience, data science, and strategic leadership, contributing to product development, research, and long-term enterprise data architecture.

Neurophysiology & Brain Data Analytics

• Lead analysis of large-scale neurophysiological datasets and associated metadata
• Develop analytical frameworks to identify patterns related to:
  • Stress response
  • Autonomic regulation
  • Sleep quality
  • Cognitive performance
  • Recovery trajectories
  • Emotional regulation
  • Resilience and allostasis
• Identify biomarkers or physiological signatures tied to performance, readiness, and well-being
• Collaborate with clinical and scientific advisors to ensure rigor and validity

Wearables & Multi-Modal Biometric Integration

• Design integration strategies for data from wearable and health platforms, including:
  • Oura, WHOOP, Apple Health, Garmin, HRV tools, and sleep trackers
• Build multi-modal datasets combining:
  • Brain activity
  • HRV
  • Sleep and recovery metrics
  • Training load
  • Mood and behavioral data
  • Environmental/contextual factors
• Develop models linking neurophysiology with functional and biometric outcomes

University Athletics & Human Performance Analytics

• Design data frameworks for collegiate athletic deployments
• Support development of dashboards for athletes, coaches, and performance teams
• Explore applications in:
  • Concussion recovery
  • Mental resilience
  • Over training
  • Sleep optimization
  • Performance readiness
• Establish protocols for longitudinal monitoring and outcome tracking

Military & National Security Data Strategy

• Contribute to future-state data architecture for military-scale applications
• Anticipate requirements for:
  • Security, scalability, interoperability, and compliance
  • Longitudinal monitoring and auditability
• Support frameworks related to:
  • Operational readiness
  • Cognitive resilience
  • Stress exposure and PTSD mitigation
  • Sleep disruption
  • Human performance optimization

Data Architecture & Platform Development

• Help define enterprise-wide data architecture strategy
• Guide decisions on:
  • Cloud infrastructure
  • Secure data storage and HIPAA-aligned environments
  • Data governance and API integrations
  • Analytics pipelines and AI/ML environments
• Design scalable systems supporting:
  • Multi-site operations
  • Longitudinal data collection
  • Research studies and enterprise applications

AI, Machine Learning & Predictive Modeling

• Develop predictive models for:
  • Stress recovery
  • Sleep optimization
  • Burnout risk
  • Readiness and performance variability
  • Recovery forecasting
• Explore opportunities in:
  • Personalized recommendations
  • Anomaly detection
  • Digital biomarkers
  • Adaptive neurophysiology insights
• Support development of AI-enabled tools for consumer and enterprise use

Research, Publications & Scientific Partnerships

• Support research collaborations and publication-quality analyses
• Assist with:
  • IRB-aligned data strategies
  • Outcomes analysis
  • Grant support
  • Scientific presentations and conference materials
• Collaborate with academic, clinical, and performance organizations

Executive & Strategic Leadership

• Serve as a strategic partner to executive leadership
• Help shape long-term data and analytics vision
• Participate in investor and partnership discussions as appropriate
• Contribute to building and leading a future data science organization

• Strong experience working with large physiological, biometric, or time-series datasets
• Experience with wearable device integrations and multi-modal data systems
• Ability to translate complex technical findings into clear, actionable insights
• Experience designing or contributing to secure, scalable data environments
• Strong collaboration and communication skills across technical and non-technical teams

• Strategic thinking with strong execution capability
• High…