Radical

Questions We Ask Before Every Release

Will this be medically validated and accurate?

Will this improve and learn with usage?

Bringing software into healthcare is hard. Building computer vision models for complex medical images is hard. Understanding unstructured, abbreviated and highly contextual notes from doctors is hard.

And making all these services available in low bandwidth, constrained devices is hard. And sometimes orchestrating all these services gets so hard that some would say we’re wired a bit crazy.

Does that excite you?

Will this be delightful for the doctors and nurses using this?

Will this be blazing fast?

Vision

We use our massive inhouse data sets and cutting edge deep learning techniques to build vision models for diagnosing a broad spectrum of diseases from medical images.

Language

We build natural language processing models to build parsers for entity and relationship extraction from free-form typed and handwritten medical texts using deep learning.

Engineering

Our production systems deal with millions of patients and process terabytes of complex multi-modal data using a hybrid stack across cloud, on-prem and different frameworks.

Design

We design our software with the goal of evoking delight and joy in our users, with a minimalist yet striking aesthetic.

Systems

We build for security, speed and convenience - we handle unprecedented patient volumes at scale across some of India's largest healthcare institutions.

Benefits

Incredible Colleagues

You?

Open positions below. We are always on the lookout for outstanding talent.

Apply Now

Email your latest resume, current CTC and link to portfolio (GitHub, Personal Site, Publications or similar) to

tech-recruitment [at] radicalhealth [dot] care