Longevity Intelligence Research Intern | Medical Research Collaboration Opportunity

Company Description Pranissa

is a precision longevity platform focused on improving both lifespan and health span. We connect individuals with leading longevity clinics, wellness programs, and evidence-based health optimization experiences around the world. Our platform combines biological data, scientific research, and AI-assisted insights to help people understand their health and take action through personalized longevity protocols. Pranissa’s goal is to translate cutting-edge longevity science into practical and structured intelligence that supports long-term health, performance, and prevention.

Role Description We are looking for a

Longevity Intelligence Research Intern

to support the development of Pranissa’s longevity intelligence system. The role focuses on researching scientific literature, studying health biomarkers, and identifying evidence-based longevity interventions. You will help build structured research frameworks that connect biomarkers, lifestyle factors, supplements, and therapies with measurable health outcomes. You will work closely with the founding team to turn complex longevity and health research into organized insights that can power our platform. This role is ideal for someone interested in

longevity science, preventive health, functional medicine, or health technology . It can also be a strong opportunity for

research collaboration in emerging areas of longevity and health optimization .

Responsibilities Conduct research on

longevity science, aging biology, etc. Analyze scientific literature related to

biomarkers, metabolic health, inflammation, and preventive medicine, etc. Identify

evidence-based supplements, therapies, and longevity interventions Map relationships between

biomarkers, lifestyle factors, and health outcomes Assist our engineers in building structured

longevity knowledge frameworks and protocol-based wellness and longevity programs Track emerging research across

biotech, biohacking, and longevity medicine

Qualifications Background in life sciences, biotechnology, medicine, bioinformatics, or related fields Familiarity with biomarkers, metabolism, or preventive health is helpful Strong analytical and research skills Ability to synthesize complex information into structured insights Comfortable working independently in a remote environment

What you will gain Exposure to longevity science and health optimization frameworks Experience working on a data-driven health technology platform Opportunity to contribute to an emerging field combining health science and technology Flexible remote work environment Possibility of a long-term role depending on performance and mutual fit