Biostatistics: Assistant / Associate / Full Professor

Public Health Career; Gujarat; On-site; INR 1,500,000 - 2,000,000; Full time

Job summary

Public Health Career invites applications for an expert in biostatistics to design, develop, and apply rigorous statistical methods to clinical trials, epidemiology, genomics, and large-scale electronic health records. The candidate will combine classical theory with high-performance computing to tackle high-dimensional data integration in public health and medicine.

Ideal applicants hold a PhD in Biostatistics or related fields with a strong publication record; senior researchers should have a

Qualifications

• PhD or equivalent doctoral degree in Biostatistics, Statistics, Medical Statistics, or a closely related quantitative discipline.
• Strong publication track record; senior applicants would require a funding track record.

Responsibilities

• Design, development, and application of rigorous biostatistical techniques to clinical trials, epidemiology, genomics, or large-scale electronic health records.
• Combine classical statistical theory with high-performance statistical computing to solve high-dimensional data integration challenges in public health and medicine.
• Maintain focus on public health applications and contribute to methodological advances.

Skills

Biostatistics

High-performance computing

Clinical trials methodology

Education

PhD in Biostatistics

Job description

A Ahmedabad University is a private, non-profit research university that offers students a liberal education focused on interdisciplinary learning and research thinking. The mission of Bagchi School of Public Health is to improve public health and the environment locally, nationally, and globally through research, training, and developing, disseminating, and implementing sustainable evidence-based interventions, programmes, and policies.

We are seeking applications or nominations for an expert in biostatistics with experience in the design, development, and application of rigorous biostatistical techniques to clinical trials, epidemiology, genomics, or large-scale electronic health records.

The ideal candidate will combine classical statistical theory with high-performance statistical computing to solve high-dimensional data integration challenges in public health and medicine.

Note: Candidates whose work primarily does not have a public health focus are not eligible.

Qualifications:

PhD or equivalent doctoral degree in Biostatistics, Statistics, Medical Statistics, or a closely related quantitative discipline. Strong publication track record. Senior applicants would require a funding track record.

Your focus must be in one of the following areas:

• Biostatistics / Statistical Genetics


• Clinical Trials Methodology / Survival Analysis


• Quantitative Epidemiology / Public Health Methods