Careers

Inappropriate lifestyle behaviours and medication non-adherence significantly contribute to the rising burden of non-communicable diseases (NCDs). Existing interventions are often generic and fail to account for cultural, behavioural, and individual variability. Tailored strategies integrating real-time patient data and contextual factors are needed to improve adherence and outcomes. Emerging third-generation prescriptions that combine artificial intelligence, wearable inputs, patient outcomes, and clinical guidelines offer a promising solution. However, literature indicates that such integrated, precision-based adherence tools are not yet available in India. This represents a critical gap in implementing personalized NCD management strategies.

Hence, we propose a culturally specific, innovative third-generation lifestyle and medication-adherence prescription for precision NCD medicine in India. This multimodal, data-driven approach is unprecedented in the Indian context.

Salary : Rs.36,400- p.m

No of Vacancy :One

• Contribute to Physical activity assessment and exercise risk screening, inputs for development of AI-based exercise prescription, monitor exercise related outcomes of RCT planned. 
• Coordinate participant recruitment, screening, enrolment, follow-up and assessment according to the study protocol.
• Conduct and/or supervise collection of clinical, anthropometric, physical activity, dietary, lifestyle and other study-related data.
• Ensure accurate and complete data entry in REDCap, including regular review for missing, inconsistent or erroneous entries.
• Perform data cleaning, quality checks, coding and preliminary organization of research datasets for statistical and AI/ML analysis.
• Coordinate collection and management of wearable/device-generated data.
• Maintain participant records, study logs, screening/enrolment logs and other essential study documentation.
• Assist in preparation of progress reports, presentations, research summaries, SOPs and study-related documentation.
• Assist in scientific writing. 

Preferred Qualifications: 

BSc or MSc Nursing/ Physiotherapy (BPT/ MPT)/ BSc or MSc Exercise Physiology or other relevant health sciences discipline with master’s degree in public health (MPH), from a recognized university/institution.

Preferably 2–3 years of post-qualification experience in coordinating clinical research/research projects.

Preferred Language: English, Kannada essential, Hindi, Tamil and Telugu are desirable 

Age Limit:  35 Years

Tentative Date of Joining : 1st October 2026

To Apply: E-mail cover letter and curriculum vitae with 3 references (names and email addresses / phone numbers) by on or before 21st September 2026 to pranathi.r@stjohns.in & cc to hr@sjri.res.in