Clinical AI Research Lead

2 weeks, 6 days ago
Full-time
Lead
Data Science and Analytics
Insight Timer

Insight Timer

Insight Timer is the leading meditation app with a vast library of guided meditations, music, and courses. It offers a supportive community and beautiful Tibetan singing bowls for a connected meditation experience.

Media
251-1K
Founded 2010

Description

  • Review and evaluate AI-generated outputs for meditation, wellbeing, mental health, sleep, anxiety, stress, and behavior change.
  • Assess whether AI outputs are clinically appropriate, evidence-informed, safe, clear, and useful for real-world users.
  • Evaluate the strength and quality of evidence behind wellbeing, meditation, and psychotherapeutic techniques, including limitations and contraindications.
  • Define frameworks for assessing indications, contraindications, risk, evidence quality, internal and external validity, and real-world applicability.
  • Work with engineers and product teams to improve prompts, AI workflows, evaluations, and user-facing wellbeing experiences.
  • Translate clinical, psychological, and research concepts into clear product guidance for engineering and design teams.
  • Help build internal evaluation systems for AI outputs, including rubrics, review processes, and quality standards.
  • Contribute to safe, high-quality AI experiences grounded in meditation, wellbeing, and mental health expertise.
  • Support the creation of structured content and intervention pathways across sleep, anxiety, stress, mindfulness, and emotional wellbeing.
  • Collaborate with internal and external researchers on studies, evidence reviews, and potential peer-reviewed publications.
  • Help shape Insight Timer’s broader research agenda around meditation, wellbeing, mental health, AI, and consumer health products.

Requirements

  • Strong clinical, psychological, behavioral science, or mental health research expertise.
  • A PhD, current PhD candidacy, or equivalent clinical and research experience.
  • Background as an academic researcher, clinician-researcher, psychologist, psychiatrist, behavioral scientist, meditation researcher, or wellbeing researcher.
  • Ability to evaluate evidence, including study quality, internal and external validity, strength of findings, and real-world limitations.
  • Ability to think clearly about indications, contraindications, safety, and practical implications of wellbeing or mental health recommendations.
  • Familiarity with meditation, mindfulness, contemplative practice, psychotherapy, behavior change, or related wellbeing techniques.
  • Comfort working with ambiguity and bringing structure to complex, cross-disciplinary problems.
  • Interest in AI and willingness to work directly with prompts, model outputs, evaluation systems, and product workflows.
  • Strong communication skills for working with engineers, product managers, designers, researchers, and non-clinical stakeholders.
  • Strong judgment about whether something is evidence-based, speculative, overstated, risky, or unclear.
  • Excitement about working on products that reach millions of people rather than only producing internal research or academic work.
  • Deep motivation to help people live healthier, calmer, and more meaningful lives.
  • Experience with AI tools, LLMs, prompt engineering, model evaluation, or AI-assisted research workflows, preferred.
  • Experience publishing peer-reviewed research in psychology, mental health, meditation, mindfulness, sleep, anxiety, wellbeing, behavior change, or digital health, preferred.
  • Clinical experience with anxiety, sleep, stress, emotional regulation, or related areas, preferred.
  • Experience working in digital health, consumer wellbeing, mental health technology, or product-led environments, preferred.
  • Experience translating research or clinical guidelines into practical interventions, programs, or user-facing experiences, preferred.
  • Experience designing or evaluating digital interventions, guided programs, or structured wellbeing pathways, preferred.
  • A strong understanding of both academic evidence and real-world consumer product use, preferred.

Benefits

  • Competitive salary.
  • Equity options.
  • Fully remote role, with Australia-based location required.
  • Extra leave days for wellbeing and your birthday.
  • Generous learning and development budget.
  • Wellbeing bonus.
  • Global company retreat every other year.

Interested in this position?

Apply directly on the company website

Apply Now

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