Job Description
LUXIA.health – AI Longevity & Biomarker Platform
Location: Remote / Global
Role Type: Advisory / Research Lead / Potential Founding Scientist
Organisation: LUXIA.health
About LUXIA.health
LUXIA.health is a new AI-powered health and longevity platform focused on translating cutting-edge scientific research into practical protocols for human optimisation and lifespan extension.
Our mission is to combine biomarker analysis, AI-assisted medical research, and expert scientific input to create the LUXIA Longevity Protocol — a comprehensive framework covering cellular health, metabolic optimisation, preventative medicine, and regenerative therapies.
We are assembling a panel of world-class researchers, clinicians, and longevity specialists to contribute to the scientific foundation of the platform and guide the development of our AI-driven health advisory system.
Role Overview
We are seeking a Longevity Research Lead / Scientific Advisor with PhD-level expertise in longevity science, ageing biology, biomarker research, or a closely related field.
The successful candidate will contribute to the development of the LUXIA.health AI Longevity Protocol, working alongside our internal team and external experts to curate, analyse, and translate the latest research into clinically actionable insights.
Candidates may be established experts or emerging researchers, but must demonstrate a strong understanding of the mechanisms of ageing and evidence-based longevity interventions.
Key Responsibilities
• Contribute to the development of the LUXIA Longevity Protocol framework
• Review and curate peer-reviewed research in longevity, ageing biology, and biomarker science
• Evaluate emerging therapies, supplements, and interventions related to healthspan extension
• Translate complex scientific research into clear, evidence-based guidance suitable for AI integration
• Contribute to the design of biomarker panels and longevity monitoring frameworks
• Collaborate with other experts across medicine, AI, and biotechnology
• Provide strategic insight into the future direction of longevity science and preventative health
Required Expertise
Candidates should demonstrate strong knowledge in one or more of the following areas:
• Biology of ageing
• Cellular senescence
• Epigenetics and DNA methylation
• Metabolic health and mitochondrial function
• Biomarkers of ageing
• Systems biology
• Regenerative medicine
• Longevity interventions and therapeutics
Qualifications
• PhD (or equivalent research experience) in a relevant field such as:
* Molecular Biology
* Biogerontology
* Biomedical Science
* Longevity / Ageing Research
* Systems Biology
* Metabolic Medicine
* Regenerative Medicine
• Demonstrated research experience in longevity, ageing, or biomarker analysis
• Ability to interpret and synthesise scientific literature and clinical data
Preferred Experience
• Published research in ageing biology or longevity science
• Experience working with biomarker datasets or clinical diagnostics
• Familiarity with AI-assisted research or computational biology
• Experience in translational science or health optimisation protocols
• Experience collaborating across multidisciplinary teams
• No previous experience in Ai is needed
What We Are Looking For
• Passionate about extending human healthspan
• Curious and open to emerging scientific approaches
• Able to combine rigorous science with practical application
• Interested in shaping the future of AI-driven health intelligence
What You'll Be Building
You will help develop the LUXIA AI Longevity System, which will integrate:
• Biomarker analysis
• Personalised longevity protocols
• Scientific literature databases
• Expert-led clinical insights
• AI-assisted health optimisation tools