Early-career research position for clinicians/masters/PhD graduates (MBBS/BDS/MPH/M.Sc./M.Tech. in Biotechnology/Biomedical Engineering/CS/AI-ML/Statistics/related fields) working on frontier clinical AI, data science, digital health with KCDH-A and CRASH lab teams. Major responsibilities include research coordination, data curation/annotation, grant prep., basic analysis, and skills training in Python, statistics, AI pipelines, and scientific writing. The role offers mentorship, exposure to global collaborations (Harvard, NUS, IITs), and high-impact research/publications.

Data curation and annotation (EHR, imaging, text)\nExploratory analysis, benchmarking scripts (Python/R/SPSS)\nSupport IRB/IEC submissions, MoUs, project coordination\nAssist in grant writing, abstracts/preparation for conferences\nProactive learning of AI, medical imaging, NLP, safety audits\nPublication, literature reviews, and reporting

MBBS/BDS/MPH/M.Sc./M.Tech. or equivalent in relevant field. Motivation to learn, basic knowledge of programming (Python/R statistically preferred), ability to work in multi-institutional settings. Excellent communication and scientific writing.