Research Associate-2

Advanced Research Position

Conduct advanced research in statistics, data analytics, and machine learning with an emphasis on multimodal data fusion and predictive modeling for lung cancer risk assessment. Develop and evaluate statistical and AI-based methods for feature selection, biomarker identification, and risk prediction using heterogeneous biomedical data. Contribute to multidisciplinary research projects, identify emerging research opportunities, assist in the preparation of grant proposals and technical reports, and collaborate with faculty, investigators, and external partners. Provide technical leadership, mentor junior researchers as appropriate, and support the dissemination of research findings through high impact factor journals, presentations, and grant proposals.

The successful candidate will hold a Ph.D. in statistics, computer science, computer engineering, biomedical engineering, or related fields and possess strong expertise in statistics, machine learning, and biomedical data analysis. The position requires excellent analytical and technical skills, the ability to develop innovative research methodologies, and experience working in collaborative multidisciplinary environments. The candidate should demonstrate leadership, effective communication, and the ability to contribute to research strategy, proposal development, technical documentation, dissemination of research findings through high impact factor journals, and collaborations with internal and external stakeholders.