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Biostatistics

Biostatistics
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Biostatistics

Choose a category below to begin. Each category opens into focused areas, and selecting a focused area lets you pick your final internship variant (your preferred track, mode and duration).

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Showing 120 of 50

AI Causal Biostatistics Methodology Research
Internship studying causal biostatistics with AI methods that separate effect from confounding. Practical exercises anchor every concept taught.
5 focused areasClick to view more details →
Machine Learning for Survival Analysis Research
Internship extending survival analysis with ML that learns nonlinear risk from censored follow-up. Includes mentored hands-on analysis sessions.
Academic (A)Tech (T)Research (R)
1 Month
A · ₹7,670
T · ₹24,336
R · ₹35,398
3 Months
A · ₹32,000
T · ₹39,111
R · ₹56,889
6 Months
A · ₹71,112
T · ₹86,914
R · ₹1,26,420
14 more durations from 5 days to 1 year
5 focused areasClick to view more details →
AI Adaptive Trial Statistical Design Research
Internship designing adaptive trials statistically with AI simulation of stopping and allocation rules. Guided practice with real datasets throughout.
5 focused areasClick to view more details →
AI Genetic Epidemiology Statistics Research
Internship applying statistics to genetic epidemiology with AI handling of scale and structure. Mentor-led sessions build applied skill.
5 focused areasClick to view more details →
AI Spatial Biostatistics Research
Internship applying spatial biostatistics with AI models of clustering, gradients, and neighbourhood. Guided practice with real datasets throughout.
5 focused areasClick to view more details →
AI High-Dimensional Biostatistics Research
Internship studying high-dimensional biostatistics where variables vastly outnumber observations. Hands-on work runs alongside theory modules.
5 focused areasClick to view more details →
AI Bayesian Biostatistical Methods Research
Internship applying Bayesian biostatistics with AI tooling that makes priors and models transparent. Includes mentored hands-on analysis sessions.
Academic (A)Tech (T)Research (R)
1 Month
A · ₹7,670
T · ₹24,532
R · ₹35,683
3 Months
A · ₹32,258
T · ₹39,427
R · ₹57,348
6 Months
A · ₹71,685
T · ₹87,615
R · ₹1,27,440
14 more durations from 5 days to 1 year
5 focused areasClick to view more details →
AI Missing Data Biostatistics Research
Internship handling missing data with AI imputation methods that avoid biasing conclusions. Interns practise on genuine research problems.
5 focused areasClick to view more details →
AI Federated Biostatistics Research
Internship running federated biostatistical analyses across sites that never pool raw records. Interns work with realistic case datasets.
5 focused areasClick to view more details →
AI Precision Medicine Biostatistics Research
Internship applying biostatistics to precision medicine with subgroup and heterogeneity methods. Applied sessions reinforce each technique.
Academic (A)Tech (T)Research (R)
1 Month
A · ₹7,670
T · ₹24,159
R · ₹35,141
3 Months
A · ₹31,768
T · ₹38,827
R · ₹56,476
6 Months
A · ₹70,595
T · ₹86,283
R · ₹1,25,503
14 more durations from 5 days to 1 year
5 focused areasClick to view more details →
Real-World Evidence Analysis Methods
Develop statistical methods for analyzing observational data from electronic health records and patient registries to support clinical decision-making.
5 focused areasClick to view more details →
Network Meta-Analysis Statistical Development
Research advanced statistical techniques for comparing multiple treatments simultaneously across interconnected clinical trials.
5 focused areasClick to view more details →
Causal Inference in Observational Studies
Implement and validate propensity score methods, instrumental variables, and other causal techniques in non-randomized healthcare data.
5 focused areasClick to view more details →
Time-to-Event Data Analysis Methods
Develop statistical models for analyzing censored survival data including competing risks and multi-state transition models.
5 focused areasClick to view more details →
Microbiome Statistical Composition Analysis
Research statistical methods for analyzing microbial abundance data and identifying significant compositional differences across populations.
5 focused areasClick to view more details →
Count Data Regression Modeling Research
Develop and evaluate zero-inflated and negative binomial regression models for overdispersed count outcomes in biomedical studies.
Academic (A)Tech (T)Research (R)
1 Month
A · ₹7,670
T · ₹24,532
R · ₹35,683
3 Months
A · ₹32,258
T · ₹39,427
R · ₹57,348
6 Months
A · ₹71,685
T · ₹87,615
R · ₹1,27,440
14 more durations from 5 days to 1 year
5 focused areasClick to view more details →
Longitudinal Data Mixed Effects Models
Research advanced multilevel modeling techniques for analyzing repeated measurements and complex hierarchical study designs.
5 focused areasClick to view more details →
Measurement Error Correction Methods
Develop statistical approaches to account for and correct bias induced by measurement error in biomarker and exposure assessments.
5 focused areasClick to view more details →
Diagnostic Test Accuracy Meta-Analysis
Conduct systematic reviews using bivariate and hierarchical models to synthesize sensitivity and specificity across diagnostic studies.
5 focused areasClick to view more details →
Multiple Comparisons Correction Strategies
Evaluate and apply false discovery rate control, family-wise error rate, and other multiplicity adjustment methods in genomic research.
5 focused areasClick to view more details →