AI For Life (AI4LYF) is an international healthcare innovation syndicate operating across the USA, UK, and Pakistan. Our mission is to transform traditional reactive healthcare into proactive, AI-driven wellness. By integrating AI, biosensing, and advanced connectivity, we empower billions to manage their health more effectively.
At AI4LYF, we offer a dynamic work environment with global mentorship, lifelong learning opportunities, and competitive compensation, giving healthcare professionals access to global research and collaboration opportunities.
We are seeking a Pulmonologist Consultant in AI For Life, Pakistan to collaborate with hospitals managing chronic respiratory diseases such as Asthma, COPD, Tuberculosis, and Lung Cancer. This role is ideal for a practising pulmonologist or a final-year Pulmonology specialization student passionate about medical innovation and clinical research.
This flexible consultancy position allows you to contribute your expertise to cutting-edge AI-based respiratory healthcare research with minimal time commitment while gaining global recognition and authorship in international publications.
Supervise ethical approval processes and ensure research compliance with hospital standards.
Collaborate with pulmonology departments treating tuberculosis and chronic respiratory conditions.
Oversee hospital-based data collection and ensure accuracy and ethical conduct.
Provide domain expertise in Pulmonology for data validation, research protocol design, and AI model development.
Act as a clinical liaison between hospitals, research teams, and AI4LYF.
Education: MBBS with specialization in Pulmonology, or currently enrolled in the final year of specialization.
Affiliation with a recognized Pulmonology Department or teaching hospital.
Experience managing tuberculosis patients preferred.
Familiarity with ethical approval processes and clinical research standards.
Excellent coordination, communication, and networking skills.
Involvement in groundbreaking AI-healthcare research and international publications.
Competitive salary with performance-based bonuses.
Flexible working hours (≤10 hours per week).
Global exposure, mentorship, and professional recognition.
Opportunities for career advancement in an international health-tech ecosystem.
Employment Type: Part-time
Work Mode: Remote (with collaboration in Lahore hospitals)
Expected Hours: 10 per week
To apply for this job email your details to bestnaukrisite@gmail.com
