Radical

Open Position

Full Stack Engineer

React, Node, Python, Docker

Open Position

Front End Engineer

React, Redux, Design

Open Position

DevOps Engineer

AWS, Microservices

Open Position

Designer

UI/UX Design

Open Position

Machine Learning Engineer

Computer Vision

Open Position

Machine Learning Engineer

Natural Language Processing

Open Position

Technology Operations

People, Process

Open Position

Ophthalmologist

Vitreoretina

Life At Radical

Role


  • Plan, design, implement and ship new products and features at a fast cadence agnostic to platforms and endpoints.
  • Focus on code quality, new technologies, sound architectural and design decisions
  • Take opinionated but data-backed decisions that impact end-user experience through design, aesthetics, speed or simply efficiency.
  • With time, grow into a role where you can expand the team's overall knowledge by creating niche areas of expertise and being a resident consultant
  • Expand expertise to multiple stacks and platforms including phones, web and embedded devices.
  • Write tests and audit and review code for best practices, vulnerabilities and missing finer details that make for the most delightful experience possible for our users.

Role


  • Work primarily on medical data from our in-house datasets.
  • Translate clinical requirements into a well-defined problem and design appropriate metrics to measure performance.
  • Work with our medical advisors and gain a sophisticated domain knowledge of the biological principles underlying the data.
  • You will need to understand and implement techniques detailed in research papers, adapting and improving wherever possible.
  • You will be expected to iterate on models fast, and be able to reason about the shortcomings and failure modes thereof, and should learn to dissect and ablate deep models robustly.
  • While this is a Machine Learning focused role, we expect you to follow good programming practice while writing your code (eg. documentation, version control, modularity)
  • You are also expected to be able to package your models and assist the SWE/DevOps teams with model deployments, etc.
  • You'll also be required to work with our business, operations, and data acquisition teams, and assist them wherever possible in matters pertaining to data annotation, metrics, in-house tooling, etc

Role


  • This is a DevOps role with a minor focus on SWE
  • You will be required to assist the SWE teams in setting up a well-tested, production-ready, automated CI/CD pipeline, that integrates easily with the development workflow.
  • You are expected to set up and maintain key resources such as ECS and Kubernetes clusters and assist in the development of a scalable microservice oriented software architecture.
  • You are expected to assist SWE teams in designing leaner, and more economical software architecture.
  • You are expected to assist business and operations teams by providing summary reports, statistics, etc.
  • You are expected to take ownership of site reliability.

Role


  • Serve as our in-house medical expert and guide the technology and operations team with domain expertise.
  • Translate clinical requirements into a well-defined problem and design appropriate metrics to measure performance.
  • Design, lead and publish ground-breaking medical research in top journals regularly.
  • Provide feedback on data, diversity, and other factors in deep learning pipelines.
  • Design and own products and product suites targeted towards fellow doctors.
  • Represent Radical in clinical and medical conferences and events, as speakers and as attendees.
  • Design and help in data annotation for various machine learning applications.
  • Assist in regulatory applications and clinical trials.

Role


  • Coordinate and manage a team of paramedics/health technicians and assist their on-ground activities.
  • Liaison with the Medical Director and hospital department heads in delivering patient care and follow up. Build and maintain positive trust relationships with hospitals/doctors and hospital staff.
  • Design and execute programs to incentivise and counsel patients to seek care post identification
  • Design, monitor and evaluate the KRA for team and individual performance, develop and implement protocols for maximizing operational efficiency and impact to achieve the program expectations.
  • Provide input and guidance to the technology team to enhance operational and UI workflows.
  • Planning for staffing and future hires within the program budget.
  • Collect, measure, analyse and present the data collected to meet the program's long term expectations.
  • Conduct awareness campaigns/activities/public engagement activities, presentations, events etc and also represent Radical in all relevant meetings conducted by a client hospital.

Role


Radical is a platform connecting data, medicine and people -- through machine learning, and usable, performant products. Software has never been the strong suit of the medical industry -- and we are changing that. We believe that the same examples of stunning design that power our daily needs through millions of consumer applications -- be it your grocery, your food delivery or your movie tickets -- when applied to healthcare, has a massive potential to transform the industry, and positively impact lives of patients and doctors. Radical works with some of the largest hospitals and public health programmes in India, and has a growing footprint both inside the country and abroad.

As the Design Lead at Radical, you will:
  • Work closely with all stakeholders in the healthcare ecosystem - patients, doctors, paramedics and administrators - to conceptualise and bring to life the ideal set of products that add value to their time
  • Design and help bring into production in conjunction with the engineering team visual designs, product designs as well as workflows
  • Design systems which have an extraordinary emphasis on capturing data that can help build better experiences, engagement and usability

Expectations


  • You are a generalist with experience in writing working, well-documented and well-tested code in at least one or more of JavaScript (Node/React), Python and Go.
  • You have experience working in a Linux-like environment and are familiar with standard command line tools and shell scripting.
  • You have worked on at least 2 to 3 large projects in production, interacting with different SQL and NoSQL databases, as well as external tools and APIs.
  • You have at least some experience navigating AWS and leveraging appropriate technologies, rather than fully managed one-click solutions.
  • You have some experience with containerisation, orchestration and in building applications in a service oriented or microservice oriented architecture.
  • Bonus Points: Proficiency in TypeScript, Meaningful Open Source Contributions and Prior Experience of Deploying Large Production Systems

Expectations


  • You have a strong working knowledge of ReactJS and the surrounding ecosystem.
  • You are up to date with the most efficient and latest practices and standards, such as ES2015 and above, React 16.x and above, React Hooks, functional components and others.
  • You have the ability to write pixel-perfect CSS ensuring that the pipeline from design to production remains consistent. You are comfortable with css-grids, SCSS, Less and others.
  • You have experience interacting with GraphQL based and other APIs in the back-end.
  • You have performance and speed considerations when you write code, allowing your applications to be bundled lightly and without huge dependencies that slow them down.
  • Bonus Points: Proficiency in TypeScript or Elm, Meaningful Open Source Contributions and Prior Experience of Deploying Large Production Systems

Expectations


  • We're looking for candidates with a good grasp of Python, especially the Scientific Python ecosystem, with libraries such as NumPy, SciPy, Pandas, scikit, OpenCV, MPL, etc.
  • While we do not enforce any particular Deep Learning framework, knowledge of and experience with PyTorch will be a plus.
  • You ideally possess strong analytical skills, and have a mathematical background covering various topics such as calculus, linear algebra, probability, statistics, machine learning, etc.
  • You should also be familiar with classic computer vision techniques and algorithms.
  • Candidates must have strong familiarity and knowledge of the tools of the trade used in Deep Learning based computer vision; viz. SOTA models, training techniques, interpretability,
  • We love colleagues keep themselves abreast of the latest events and breakthroughs in the field, such as by following arXiv, Twitter, etc, and disseminate that knowledge through the organisation.
  • Bonus: You have previously deployed ML models in production, or have had strong showings in competitions on Kaggle and other platforms. Contributions to FOSS libraries in the ML ecosystem, and a keen interest in topics such as automatic differentiation, CUDA kernels etc, and interest in new libraries such as Jax, and new languages such as Julia.

Expectations


  • You will be expected to work primarily on handwritten and digitised free form text, electronic medical records, and other such clinical documents from our in-house datasets.
  • We're looking for candidates with a good grasp of Python, especially the Scientific Python ecosystem, with libraries such as NumPy, SciPy, Pandas, scikit, OpenCV, MPL, etc.
  • While we do not enforce any particular Deep Learning framework, knowledge of and experience with PyTorch will be a plus.
  • Candidates should also be familiar not just with classic NLP methods (TF-IDF, etc.) and also understand the various cleaning and preprocessing steps involved in an NLP pipeline.
  • Candidates must have strong familiarity and knowledge of the tools of the trade used in Deep Learning based computer vision; viz. SOTA models, training techniques, interpretability, and various tricks used to improve performance.
  • You ideally possess strong analytical skills, and have a mathematical background covering various topics such as calculus, linear algebra, probability, statistics, machine learning, etc.
  • We love colleagues keep themselves abreast of the latest events and breakthroughs in the field, such as by following arXiv, Twitter, etc, and disseminate that knowledge through the organisation.
  • Bonus: You have previously deployed ML models in production, or have had strong showings in competitions on Kaggle and other platforms. Contributions to FOSS libraries in the ML ecosystem, and a keen interest in topics such as automatic differentiation, CUDA kernels etc, and interest in new libraries such as Jax, and new languages such as Julia.

Expectations


  • You are required to have hands-on experience with the AWS ecosystem, preferably with advanced certifications.
  • You should be very familiar with the Linux command line and standard tools. You should be comfortable writing shell scripts for automating jobs.
  • You should be comfortable using Python for quick data munging and analysis, and can write code to call external services, interact with AWS boto, etc.
  • You have previously worked on a project with a fast release philosophy; you have experience in setting up and managing production environments, microservices, container orchestration, automated deployments, CI/CD pipelines, GitHub integrations, etc.
  • You have hand on experience maintaining Infrastructure-as-Code; you can write scripts using CloudFormation and Terraform to provision and manage resources.
  • Bonus: Some experience in designing dashboards, and real time charts for internal, operations use.

Expectations


  • Strong recommendation from the ophthalmology community
  • Clinical experience of at least 2 to 3 years in a vitreoretina clinic
  • Strong orientation towards cutting-edge technologies and improvement of patient care.
  • Research experience and publications.
  • Prior exposure to technology companies in healthcare a strong positive.
  • Bonus Points: Some programming experience or operational program design experience.

Expectations


  • Understanding of healthcare setups, particularly public hospitals and their operational/cultural aspects.
  • Flexibility to travel and stay on location as the project covers multiple sites.
  • Excellent data analytics skills and understanding of complex patient healthcare data/parameters
  • Excellent communication skills, preferably English, Hindi and Marathi.
  • Tech-savvy with an understanding of tech-first healthcare delivery in a fast moving startup.
  • Ability to manage programs within budget, prepare reports and monitor and evaluate KRAs on regular basis
  • Self-motivated and entrepreneurial; ability to fail fast and learn fast; ability to motivate your team

Expectations


  • Familiarity and experience with creating consumer or enterprise software designs across form factors
  • Familiarity with Web Accessibility Guidelines and designing for fast, light web experiences
  • Experience with data visualisation
  • Excellent graphic design skills
  • Experience conducting user interviews and research
  • With an ambition to start, build and scale the entire design team at Radical
  • Bonus: Experience with front-end technologies such as React and proficiency in methods and processes around split tests and other testing tools

Location

New Delhi

Joining

Immediate

Apply

Email your latest resume, current CTC and link to portfolio (GitHub, Personal Site, Publications or similar) to
tech-recruitment [at] radicalhealth [dot] care

Location

Maharashtra

Joining

Immediate

Apply

Email your latest resume, current CTC and link to portfolio (GitHub, Personal Site, Publications or similar) to
tech-recruitment [at] radicalhealth [dot] care

Policy

Radical is an equal opportunity employer: we value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.