Prakirbha AI Diagnostics

Dissertation Trainee (Computational Biology) Position: Dissertation Trainee / Thesis Intern (Computational Biology) Organisation: Prakirbha AI Diagnostic Incubation: BITS Pilani Hyderabad Overview - Prakirbha AI Diagnostics is an institute-incubated deep-tech venture working on AI systems for cancer detection and biomedical intelligence. We are inviting applications for a Dissertation Trainee / Thesis Intern position for students who wish to conduct their final-year thesis or dissertation in the field of medical AI, computational oncology, and diagnostic modelling. This position offers the opportunity to work directly with the founding research team on high-impact biomedical AI problems, combining academic depth with practical model translation. Duration 3-month dissertation period (extendable to 6 months depending on progress and academic requirements) Research Focus Areas Development of AI/ML models for early cancer detection Single cell RNA analysis, multiomics analysis Bioinformatics analysis on Multiomics Cancer Datasets Designing agentic AI workflows for automated research pipelines Model translation: converting experimental research models into production-friendly diagnostic systems Biomedical data analysis, RNA/microRNA datasets, and clinical biomarkers Explainability, interpretability, and validation of diagnostic ML models Trainee Responsibilities Conduct literature review, problem framing, and hypothesis development Build and evaluate machine learning/deep learning models for diagnostic tasks Run experiments, analyse results, and document findings as part of the thesis Collaborate on algorithm development, data curation, and statistical validation Prepare contributions for scientific writing, including research papers and technical reports Eligibility / Required Skills Final-year students pursuing BTech, BE, MSc, MTech, or related fields in Computer Science,AI/ML, Data Science, Bioinformatics, Biomedical Engineering, or Life Sciences with computational focus understanding of machine learning, deep learning, single cell, R programming and Python Interest in medical AI, computational biology, or diagnostic modelling Familiarity with agentic AI frameworks is a plus What the Trainee Gains Opportunity to conduct a dissertation under an institute-backed AI diagnostics startup Access to real biomedical datasets and research-grade problems Mentorship from the founding team Authorship opportunities in publications arising from the work Potential continuation into a long-term research or founding-team role Application Process Fill in the google form - https://docs.google.com/forms/d/e/1FAIpQLSd7QblKPusGJEeY2aigdpmTVsPEIMKryKZotmRRaWS1S-Hkqg/viewform?usp=header