Associate Professor

Amrita Vishwa Vidyapeetham invites applications for Associate Professor in Biostatistics. The candidate will bridge classical statistical methodologies with cutting-edge Artificial Intelligence (AI) and Machine Learning (ML), lead interdisciplinary research, mentor doctoral and postgraduate students, and teach advanced courses in biostatistics, data science, and computational biology/health sciences.

For Details Contact: [email protected]

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Job Title

Associate Professor – Biostatistics (Artificial Intelligence (AI) & Machine Learning (ML) Focus)

Location

Kollam, Keralam

Required Number

1

Qualification

Ph.D. in Biostatistics, Statistics, Data Science, Bioinformatics, Applied Mathematics, or a closely related quantitative discipline from a reputed institution (IISc, IITs, Central Universities, or recognized top global universities).

Job Description

Key Responsibilities

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

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.

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

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.

Job Category

Teaching

Last Date to Apply

October 30, 2026