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Academy · Internships

Internships for masters and undergraduate students.

We take around 5 to 10 interns a year. If you are a masters or undergraduate student who wants to work on real problems in computational biology, computational chemistry, AI or scientific software, we would like to hear from you. Interns work inside the team, on our own platforms, with a mentor.

Apply for an internship See the fields

BengaluruJayanagar 9th Block, working with the team

3 to 12Months, agreed with you and your institution

Two levelsUndergraduate and masters students

All yearApplications are read as they arrive

The internship

Learn the work by
doing the work.

Our internships are training cum internship programmes. You begin with structured training in the tools and methods, then move to a project of your own inside one of our teams. The aim is that you leave able to do something you could not do before, and with a piece of work you can explain.

You work on the same software the team uses every day. A scientist is named as your mentor, your work is reviewed regularly, and the project ends in a short report. Many interns use the project to meet their institution's dissertation or training requirement, and we are glad to coordinate with your guide.

The duration is agreed at selection, because it depends on the role, on your institution's rules and on how long you can commit. The stipend, working mode and hours are stated under At a glance.

Six members of the SilicoScientia team standing together in front of the Symbiosis International University welcome sign — The team at Symbiosis International University, Pune.

Members of the SilicoScientia team with faculty and participants in a computer room in front of the SilicoXplore screen — The team with faculty and participants in front of the SilicoXplore screen, Nagpur.

Fields

Seven fields you can
apply to work in.

Each field lists what interns do and the degrees that usually suit it. If your background is different, apply anyway and say why.

Computational chemistry

Work on the physics based and learned methods that drive small molecule discovery.

DockingVirtual screeningMolecular dynamicsFree energyQSARGenerative design

Suits chemistry, pharmacy, medicinal chemistry

Bioinformatics and omics

Analyse sequencing data from raw reads through to biological interpretation.

RNA-SeqWGSWESCNVSingle cellVariant annotationPathways

Suits biology, biotechnology, bioinformatics, life sciences

Machine learning and AI

Build and, as importantly, test models for molecules, sequences and biomedical data.

Graph neural networksGenerative modelsBenchmarkingLeakage checks

Suits computer science, data science, statistics, mathematics

Structural biology and protein modelling

Predict and assess protein structures and binding sites before design begins.

Structure predictionBinding pocketsProtein ligand complexes

Suits biophysics, biochemistry, structural biology

AI in healthcare

Apply machine learning to clinical and genomic questions with care for validation and ethics.

Biomedical datasetsPrognostic modelsGenomics for precision medicine

Suits medicine, nursing informatics, public health, biomedical engineering

Scientific software and data engineering

Help build the interfaces, pipelines and compute layers behind the platforms.

PythonWeb interfacesJob orchestrationDatabasesCloud compute

Suits computer science, information technology, software engineering

Research and documentation

Review the literature, curate datasets and help prepare the methods, reports and manuscripts that come out of the work.

Literature reviewDataset curationMethodsReports and manuscripts

Suits any of the fields above, with strong writing

Roles

What an intern is
asked to do.

Field	What you do	Usual background
Computational chemistry	Prepare structures, run docking and simulation workflows, analyse binding results and write them up.	Chemistry, pharmacy, medicinal chemistry
Bioinformatics and omics	Run and check sequencing pipelines, build tables and figures, and help interpret differential expression and variants.	Biology, biotechnology, bioinformatics, life sciences
Machine learning and AI	Prepare datasets, train and benchmark models, and report where they work and where they fail.	Computer science, data science, statistics, mathematics
Structural biology and protein modelling	Predict and assess protein structures and binding sites, work with protein ligand complexes, and prepare targets for docking and design.	Biophysics, biochemistry, structural biology
AI in healthcare	Work with biomedical and genomic datasets, build and validate prognostic models, and report their limits and the ethical questions they raise.	Medicine, nursing informatics, public health, biomedical engineering
Scientific software and data engineering	Contribute to platform interfaces, automation and testing under a senior developer.	Computer science, information technology, software engineering
Research and documentation	Review literature, curate datasets and help prepare methods, reports and manuscripts.	Any of the fields above, with strong writing

The team at work

Teaching, demonstrating
and presenting the software.

The platforms you work on are taught, demonstrated and discussed with universities and research groups. This is the team you would join.

An instructor explaining machine learning concepts to a computer laboratory, with a workshop banner and a slide on screen — Teaching the fundamentals of machine learning, Bharati Vidyapeeth, Pune

A scientist presenting a slide that compares machine learning and deep learning for toxicity prediction — Machine learning for toxicity prediction, ICABB 2024, Pune

A scientist pointing at the ToxAI module of SilicoXplore on a large wall screen — A live demonstration of ToxAI in SilicoXplore, ICABB 2024, Pune

Participants and instructors standing together in a computer room in front of the SilicoXplore screen — Participants with the team, Nagpur

A scientist presenting published papers to a small research group around a table — Presenting published papers to a research group

How it works

From application
to outcome.

A scientist presenting the SilicoXplore platform overview to a seated group in a computer room — A SilicoXplore platform overview for participants, Nagpur, 11 July 2025.

1
Apply
Fill in the short form below and send your CV. Tell us the area you want to work in.
2
Short conversation
A call with a scientist from the relevant team about your background and what you want to learn.
3
Onboarding and training
The first weeks are structured: our tools, our methods and the working practices of the team.
4
Your project
A defined project with a named mentor, regular reviews and a result you can show.
5
Review and outcome
A final review, a certificate and a letter. Strong interns are considered for full time roles.

What you get

A named mentor who reviews your work regularly
Hands on use of SilicoXplore and OmicsXplore, our own platforms
A project with a real output, not a set exercise
A certificate and a letter on completion
Consideration for a full time role if the fit is right
Support for your institution's dissertation or project requirement, coordinated with your guide

Four research interns are on our team page today. Meet the people you would be working with.

What we look for

Curiosity and the habit of checking your own results
A relevant degree in progress, at undergraduate or masters level
Some programming, especially Python, is an advantage for most roles and a requirement for some
Reliability: you finish what you start and tell us early when something is stuck
Clear writing, since every project ends in a short report

Looking for a permanent position instead? See Careers.

Apply

Tell us who you are and what you want to learn.

Fill in the short form. Your email program will open with your details already written, and you can attach your CV before you send it.

Applications go to hr@silicoscientia.com
Please attach your CV to the email
We reply to every application

Internships

Start with real work.

Send us your CV and tell us what you want to learn. We read every application and reply either way.

Apply now Email us