Data Science & Neuroinformatics Leader

Job Description

Job Description

Description:

ABOUT INNERCORE HEALTH

Innercore Health is an entrepreneurial company that utilizes proven regenerative brain health technology with a mission to improve the health and wellness of millions of people. We are committed to helping people unlock greater resilience, optimize performance, and improve overall well-being through solutions grounded in science and backed by 14 research studies conducted at the Wake Forest University School of Medicine over the past decade. This purpose-driven team is looking to make life-changing impacts every day. This includes an intentional focus on first responders, military service members, athletes, students, and individuals seeking meaningful stress resilience, sleep quality, and performance improvement.

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. (Position closes on Tuesday, July 21.)

KEY RESPONSIBILITIES

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

REQUIRED QUALIFICATIONS

• 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

EDUCATION AND EXPERIENCE

• 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

POSITION STRUCTURE

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