Field of Internship
StatisticsResearch Area of Internship
StatisticsAbout Internship
Professor from All India Institute of Medical Sciences, New Delhi, is accepting interns interested in the field of Statistics, in the research area of Statistics .
This internship offers structured training in systematic reviews and meta-analysis, which form the backbone of evidence-based research in health, clinical, and applied sciences. Interns will work closely with an active research team and gain exposure to how statistical methods are applied to synthesize evidence from multiple studies, supporting high-quality scientific decision-making. During the internship, students will: 1. Work as part of an ongoing research team involved in clinical and basic research projects. 2. Participate hands-on in conducting systematic literature searches, screening studies, and data extraction following standard research protocols. 3. Assist in meta-analytic techniques, including effect size estimation, heterogeneity analysis, and interpretation of pooled results. 4. Observe and understand the implementation of clinical and basic research methodologies. 5. Gain exposure to patient data management, ethical handling of datasets, and research documentation practices. By the end of the internship, interns will gain: 1. Practical experience in systematic review methodology and meta-analysis, highly valued in academic, medical, and policy research. 2. A strong understanding of evidence synthesis, research transparency, and statistical reasoning in applied research settings. 3. Exposure to real-world clinical and research workflows, including patient data handling and compliance standards. 4. Enhanced research skills applicable to higher studies, publications, and interdisciplinary research careers.
Desired Skills/Techniques
Data Analysis, Maths and Stats, Reading and Writing,Who is eligible?
Bachelors/MastersMode of the Internship
Accepting both virtual and on-site interns All India Institute of Medical Sciences, New DelhiOpen Positions
The number of interns being selected is flexible and dependent on the quality of applications for this Internship.Internship Duration
3 MonthsPaid/Unpaid
UnPaidApplication opens on
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