Careers

How to choose a bioinformatics or biotech internship

Types of internship, what a good one looks like, questions to ask before you join or pay a fee, and how to write a strong application.

An internship is often the step that turns coursework into research experience. Many students in India search for a bioinformatics or biotechnology internship every semester, and the options vary enormously in quality. This guide explains the main types of internship, what a good one looks like, and the questions to ask before you apply or pay a fee.

Types of internship

  • Institute research internships and fellowships. Research institutes and science academies run competitive summer programmes that place students with a faculty guide, sometimes with a stipend. Applications usually ask for academic records, a short statement of what you want to learn, and a recommendation from a teacher.
  • Direct placements with a faculty member. Many institutes accept interns who write directly to a researcher. These are often unpaid and fee-free, and depend on the researcher’s capacity.
  • Industry internships. Biotech, pharma, diagnostics and software companies take interns for defined projects, often for postgraduate students.
  • Structured training internships. Private training providers offer fee-based internships that combine training with a mentored project. Quality varies widely, so evaluate them carefully.
  • Dissertation or major projects. Final-year M.Sc., B.Tech. or M.Pharm. projects carried out at an external organisation, with your institution’s permission.

What a good internship looks like

Whatever the type, strong internships share a few features:

  1. A defined project with a real question. You should know, before you start, what you will work on and what a successful outcome looks like.
  2. A named mentor with relevant experience who meets you regularly, reviews your work and gives written feedback.
  3. Hands-on work. For wet-lab internships, you should perform experiments yourself at the bench, not only watch demonstrations. For dry-lab internships, you should write and run analyses on real data.
  4. Transparent selection. A fair process reads your application, may set a small task and includes a conversation about your goals.
  5. Deliverables you can show: a report, a laboratory notebook or a code repository, and a final presentation.
  6. Honest promises. Nobody can guarantee a publication or a job. Be cautious of offers that do.

Questions to ask before you join

  • What exactly will I work on, and who will supervise me?
  • How often will I meet my mentor, and how will my work be reviewed?
  • Will I perform the experiments or analyses myself?
  • What will I have at the end: a report, data, code, a certificate?
  • Is there a fee or a stipend? What does the fee cover, and what is the refund policy?
  • Who issues the certificate, and can it be verified?
  • Can you provide the joining, attendance and completion letters my university needs?

How to strengthen your application

  • Write a focused statement of purpose. In 150–300 words, explain what you want to learn, why this track interests you and what you hope to do next. Specific is better than impressive.
  • Show evidence of initiative. Coursework, a small analysis on public data, a poster or a code repository says more than a list of tools.
  • Prepare basic skills in advance. For dry-lab internships, learn the Linux command line and some Python or R. For wet-lab internships, revise pipetting, solution preparation and sterile technique.
  • Be realistic about time. Commit only to what you can sustain alongside your studies.

Wet lab, dry lab or both?

If you are unsure which direction suits you, short internships are a low-risk way to find out. A computational internship can be done remotely; a wet-lab internship needs time in a laboratory. Hybrid internships, where you generate data at the bench and analyse it yourself, build the combination of skills that many employers find hardest to hire.

Vedicgen internships

Vedicgen, the school of Vivofold, publishes the eligibility, selection criteria, procedure, fees, mentorship and deliverables for each of its internship tracks, including bioinformatics, drug discovery, AI, Bio-IT, molecular biology, microbiology, cell culture, dissertation projects and short summer internships. Whichever programme you choose, use the questions above to compare your options.

Written by the Vivofold team for research and education. Found an error? Tell us and we will correct it.