Work With Us: Build a Legacy
Open Positions
Senior Research Lead
Department: Research & Development
Location and Reporting Structure
Location: Sydney / Remote Hybrid
Reports To: CSO
Company Overview
inTruth Technologies is not just a company—it’s a movement. We are building the foundation for a global paradigm shift in emotional health and human connection. With a bold vision that spans decades, our mission is to pioneer the first technology in the world to measure emotion, creating the world’s first and largest Emotion Language Model (ELM). Through cutting-edge wearable technology and AI-driven insights, we are empowering humanity to understand and master emotions, laying the groundwork for a future of emotional resilience and profound connection.
Uniquely, our company is community-centric and our thinking merges humanitarian aspirations with advanced technology. The company vision goes beyond products or metrics with the aim to unite millions globally, fostering a culture where emotional connection becomes as fundamental as literacy. We believe this work will transform healthcare, education, governance, and the very fabric of society—impacting lives in ways that will lead us into the next millennium.
We are seeking a highly skilled and versatile professional to take on the role of Senior Research Lead for a pioneering research project that integrates affective computing, emotion recognition technology, and AI. This hybrid role combines study coordination, data science, and AI research to evaluate psychoanalytical interventions using biometric emotion recognition. The ideal candidate will lead the study while advancing AI-driven insights and contribute to cutting-edge research in physiological data science.
Key Responsibilities
Study Coordination & Management
- Lead the implementation and daily operations of a multi-site clinical study.
- Develop and maintain study timelines, ensuring milestones are achieved while adhering to ethical guidelines and protocols.
- Coordinate participant recruitment, informed consent, and follow-up processes.
- Act as the primary liaison among therapists, researchers, and external stakeholders, ensuring alignment and clear communication.
- Utilise Atlassian tools (e.g., Jira & Confluence) for task management, project tracking, and team collaboration to ensure efficient execution of study goals.
- Ensure compliance with IRB, GDPR, HIPAA, and other regulatory frameworks.
Data Science & Analysis
- Build and maintain robust data pipelines to process biometric data (e.g., PPG, EEG, ECG, EDA).
- Analyse physiological and behavioural data, including emotion and activity tracking.
- Develop and implement machine learning models to track and predict therapy outcomes, ensuring real-time interoperability with therapist dashboards.
- Handle large-scale, multimodal datasets and apply advanced AI techniques, such as hybrid ML and DL for data analysis.
AI Research & Development
- Design experiments using state-of-the-art AI and machine learning techniques to enhance physiological signal interpretation.
- Develop predictive and explainable AI models for tracking emotional and autonomic responses to therapy.
- Propose and implement innovative algorithms to improve model performance and generalisation.
- Publish research findings in high-quality international journals and contribute to advancements in emotion recognition technology.
Collaboration & Reporting
- Produce actionable reports, visualisations, and presentations for internal teams and external stakeholders.
- Fostering a collaborative and high-performing team environment.
- Actively contribute to research and development while collaborating closely with the Chief Science Officer and industrial partners.
Qualifications
Education
PhD (or near completion) in Neuroscience, Data Science, AI, Biomedical Engineering, or related fields.
Experience
- 3-5 years managing multi-site clinical trials, particularly in mental health, physiological data, or biometric technologies.
- Expertise in time series feature extraction and classification, signal processing, and predictive ML methodologies.
- Hands-on experience with emotion recognition systems, biofeedback devices, and affective computing technologies.
- Proficiency in project management using Atlassian tools (Jira & Confluence) for task tracking and collaborative workflows.
Skills
- Strong expertise in signal processing, AI models, and technologies, with in-depth knowledge of trending and state-of-the-art methodologies.
- Proven skills in algorithm development with proficiency in Python, TensorFlow, PyTorch, or similar tools.
- Proficiency in handling large-scale, multimodal datasets and applying advanced AI techniques, such as LLMs.
- Strong initiative in biomedical and wearable technologies with a proven publication record in leading scientific journals.
- Experience in projects related to physiological and behavioural data, including emotion tracking, physiological and behavioural signals including PPG, EEG, ECG and related autonomic activities.
- Self-motivation, responsibility, diligence, and creativity in solving complex problems.
- Excellent communication, teamwork, and collaboration skills.
- Strong academic writing and reporting abilities.
Attributes
- Visionary and future-focused, with a passion for driving innovation.
- Proactive and self-motivated, with strong organizational skills.
- A collaborator who thrives in fast-paced, purpose-driven environments.
Compensation
- Full time
- Base Salary, $105K – $110K + superannuation
How to Apply
Applications (including a cover letter, CV, recent references and any additional supporting documentation) can be submitted via email to amanda@intruth.io
