Data Science & Neuroinformatics Leader
Role details
Job location
Tech stack
Job description
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., 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
- Overtraining
- 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, Initial engagement may be:
- Fractional
- Advisory
- Project-based
- Part-time leadership
- Expected to evolve into a full-time senior leadership role as the company scales
Requirements
- 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
COMPETENCIES AND ATTRIBUTES
- Strategic thinking with strong execution capability
- High intellectual curiosity and problem-solving ability
- Attention to detail and analytical rigor
- Adaptability in a fast-paced, evolving environment
- Collaborative mindset across scientific, technical, and executive stakeholders
- Mission-driven with a passion for human performance and brain health, * Advanced degree (MS, PhD, MD, or equivalent experience) in a relevant field such as:
- Data Science
- Biomedical Engineering
- Computational Neuroscience
- Bioinformatics
- Applied Statistics
- AI/Machine Learning
- Systems Biology
- Human Performance Analytics
- Background in neuroscience, autonomic physiology, sleep science, or performance analytics preferred
LICENSURE, CERTIFICATIONS
- Not required, but preferred:
- Certifications in data science, machine learning, or cloud platforms
- Experience working within HIPAA or regulated healthcare environments
- Familiarity with SOC 2 and healthcare data security frameworks
PREFERRED TECHNICAL SKILLS
- Python, R, SQL
- Machine learning frameworks (e.g., TensorFlow, PyTorch)
- Time-series analysis and signal processing
- Cloud data architecture (AWS, Azure, GCP)
- ETL and data engineering pipelines
- Data visualization and dashboard tools
- Experience with healthcare or research data systems
PERSONAL CHARACTERISTICS
- Entrepreneurial and comfortable in a startup environment
- Strategic thinker with long-term vision
- Curious, mission-driven, and adaptable
- Strong communicator and cross-functional collaborator
- Passionate about advancing resilience, recovery, and human performance