Remote (online)
AI & Machine Learning in Biology Internship
Prototype and evaluate machine-learning models on biological data with the discipline that makes them trustworthy: strong baselines, leakage-free splits, uncertainty and a model card that states the limits.
About this internship
Projects range from expression-based classifiers and sequence models to molecular property prediction and literature-mining tools. Each begins with a simple baseline and a validation design agreed with your mentor.
You finish with a reproducible repository, a model card and a presentation of what the model can and cannot do.
Example projects
A cancer-subtype classifier from expression data with proper cross-validation
A CNN that predicts transcription-factor binding and an interpretation of what it learned
A molecular solubility model comparing fingerprints and graph neural networks
An LLM-based tool for extracting assay conditions from papers, with measured accuracy
Eligibility
- Students in the final year of an undergraduate or postgraduate programme in computer science, data science, bioinformatics, biotechnology, statistics or engineering; recent graduates and PhD students are welcome
- Working knowledge of Python and basic machine learning (scikit-learn level)
- Interest in biology; biological background is taught as needed
Selection criteria
- Academic record and relevant coursework (no minimum percentage is applied mechanically; the whole application is read)
- A statement of purpose of 150–300 words: what you want to learn, why this track and what you hope to do next
- Evidence of initiative: projects, coursework, code, posters or laboratory experience, if you have any
- Performance in a short, track-specific task (sent after screening)
- A 20-minute online interview on your motivation and reasoning, not on memorised facts
Application procedure
Apply online
Complete the application form with your academic details, track and duration, and a statement of purpose. It takes about ten minutes.
Screening
An admissions reviewer reads every application and replies within five working days, by e-mail.
Short task
Shortlisted applicants receive a track-specific task: a small analysis, a reading-and-reasoning exercise or a protocol question. It is designed to take two to three hours.
Interview
A 20-minute online conversation about your motivation, your task and how you approach problems.
Offer and onboarding
Successful applicants receive an offer letter with the start date, mentor, project area and fee. Your place is confirmed when the fee is paid.
Internship and review
Weekly mentor reviews, a mid-point check and a final presentation, followed by your certificate.
Duration and fees
| Duration | Fee | Including 18% GST |
|---|---|---|
| 4 weeks | ₹6,999 + GST | ₹8,259 |
| 8 weeks | ₹12,999 + GST | ₹15,339 |
| 12 weeks | ₹17,999 + GST | ₹21,239 |
| 24 weeks (dissertation length) | ₹32,999 + GST | ₹38,939 |
Time commitment: About 20 hours a week, flexible around classes. Start dates are offered monthly and confirmed in your offer letter. Fees are payable after selection; see the refund policy.
Learning outcomes
- Frame a biological prediction problem and choose a validation strategy
- Build baselines and stronger models and compare them fairly
- Quantify uncertainty and applicability
- Document a model with a model card
Mentorship
- A named mentor with research or industry experience in the track
- A weekly one-to-one review of progress, code and results
- Code review on every substantial change, through Git
- A fortnightly group journal club and work-in-progress session
- Written feedback at the mid-point and at the end
Deliverables
- A project report in the format of a short research paper
- Your code repository or laboratory notebook, reviewed by your mentor
- A final presentation to the mentor panel
- A Vedicgen internship certificate with a unique verification ID
- A letter of recommendation for interns whose work merits one
Tools you will use
Apply for this internship
Vedicgen training internships are fee-based and do not pay a stipend. The fee covers mentorship, computing or laboratory resources, materials and the certificate. Fees are listed on this page and are exclusive of 18% GST.
Applications are reviewed on a rolling basis. Start dates are offered in the first week of each month, subject to mentor availability, and confirmed in your offer letter. Apply at least three weeks before you want to start.
Yes. Interns who complete the project and the final presentation receive a Vedicgen internship certificate, issued by Vivofold, with a unique ID that anyone can check on the verification page.
Many universities accept it. On request we provide a joining letter, a weekly attendance and progress record, and a completion letter in your institution’s format. Check your university’s requirements before applying.
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