Project Research Scientist-I (Medical) - ICMR CHAYA Project

St Johns Research Institute (SJRI)

Bengaluru

On-site

INR 300,000 - 540,000

Full time

12 days ago

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Job summary

Bangalore is the hub for Project CHAYA, a multicentric implementation research effort led by St Johns Research Institute (SJRI). The role focuses on coordinating field activities, integrating environmental and health data, and guiding AI/ML risk prediction with cross-disciplinary teams to improve worker safety and health outcomes.

The position emphasizes recruitment, sensor-based monitoring, and timely data reporting, with English, Kannada, and Tamil as preferred languages for field

Qualifications

  • Preferred Qualifications: MBBS with MD Community Medicine Or MBBS/BVSc/BDS+ Post Graduate degree (MD/MVSc/MDS/MPH) with 3 years post qualification experience
  • Age Criteria : 35 Years
  • Experience : Freshers can Apply
  • Preferred Language: English, Kannada, Tamil

Responsibilities

  • Overall coordination and implementation of the CHAYA study at the assigned project site, including recruitment, field implementation and application of study tools
  • Management and integration of environmental, occupational health and worker-level data generated through sensors, digital platforms and study assessments
  • Technical coordination of AI/ML-based heat-health risk prediction and Digital Twin development, in collaboration with the multidisciplinary research team
  • Coordination of deployment and field testing of sensor-based and digital health technologies for real-time monitoring of workplace heat and worker health-risk indicators
  • Data quality assurance, analysis, interpretation and scientific reporting, including preparation of progress reports, research outputs and presentations

Education

MBBS with MD Community Medicine
MBBS/BVSc/BDS+ Post Graduate degree (MD/MVSc/MDS/MPH)

Job description

Job Summary

Bangalore

Project CHAYA (Climate-Health Heat Adaptation through AI-enabled Digital Twin based Risk Prediction and Peer-Support Systems for Worker s Safety & Yield) is a multicentric implementation research project focused on protecting workers from the health risks of climate change and occupational heat stress. The project will integrate AI-enabled risk prediction, digital twin technology, real-time environmental and health monitoring, and peer-support systems to identify workers at risk, support timely preventive action, and improve workplace safety, health and productivity. The project will involve implementation and evaluation across multiple settings, with an emphasis on developing scalable, technology-enabled solutions for climate-resilient workplaces.

Key Responsibilities
  • Overall coordination and implementation of the CHAYA study at the assigned project site, including recruitment, field implementation and application of study tools.
  • Management and integration of environmental, occupational health and worker-level data generated through sensors, digital platforms and study assessments.
  • Technical coordination of AI/ML-based heat-health risk prediction and Digital Twin development, in collaboration with the multidisciplinary research team.
  • Coordination of deployment and field testing of sensor-based and digital health technologies for real-time monitoring of workplace heat and worker health-risk indicators.
  • Data quality assurance, analysis, interpretation and scientific reporting, including preparation of progress reports, research outputs and presentations
Eligibility Criteria
  • Preferred Qualifications: MBBS with MD Community Medicine Or MBBS/BVSc/BDS+ Post Graduate degree (MD/MVSc/MDS/MPH) with 3 years post qualification experience
  • Age Criteria : 35 Years
  • Experience : Freshers can Apply
  • Preferred Language: English, Kannada, Tamil
Job Details
  • No of Vacancy: One

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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