Job

Key Responsibilities

1. Teaching: Deliver UG, PG, and Ph.D. courses in Biostatistics, Statistics, and ML; use coding labs and real datasets; supervise projects and theses.


2. Research: Lead AI/ML research in biostatistics, bioinformatics, public health, or clinical data science; secure SERB, ICMR, DBT, and DST grants; publish in Q1 journals and conferences.


3. Mentorship & Collaboration:Guide Ph.D. scholars and faculty; collaborate with Amrita engineering schools, Amrita Institute of Medical Sciences, and global partners.


4. Institutional Development:** Support curriculum, accreditation, administration, committees, and outreach.

Required Skills & Competencies

• Statistical Expertise: Advanced proficiency in theoretical and applied biostatistics, multivariate analysis, longitudinal data analysis, survival analysis, and clinical trial design.


• AI & Machine Learning:Deep practical and theoretical knowledge of machine learning algorithms (e.g., Support Vector Machines, Random Forests, Gradient Boosting), deep learning architectures, and statistical learning theory.


• Programming & Tools:Advanced proficiency in programming languages and tools commonly used for statistical modeling and AI (e.g., Python, R, MATLAB, SQL).


• Interdisciplinary Vision:Ability to translate complex biological, health, or clinical datasets into actionable, productizable AI-driven insights.


• Soft Skills: Exceptional communication, collaborative ethos, and leadership qualities suited for a multi-disciplinary academic environment.