Backend Developer

at Synapsica Healthcare

DP
Posted by Human Resources
icon
Bengaluru (Bangalore)
icon
4 - 8 yrs
icon
₹8L - ₹20L / yr
icon
Full time
Skills
NodeJS (Node.js)
Express
koajs
Meteor JS Framework
hapijs
LoopBack Framework
Amazon Web Services (AWS)
MongoDB
DevOps
Cyber Security
Systems Development Life Cycle (SDLC)
Technical Architecture
Solution architecture

Synapsica is a growth stage HealthTech startup founded by alumni from IIT Kharagpur, AIIMS New Delhi, and IIM Ahmedabad. We believe healthcare needs to be transparent and objective, while being affordable. Every patient has the right to know exactly what is happening in their bodies and they don’t have to rely on cryptic 2 liners given to them as diagnosis.

Towards this aim, we are building an artificial intelligence enabled cloud based platform to analyze medical images and create 2.0 of advanced radiologist reporting.

We are backed by YCombinator and other marquee investors from India, US and Japan. We are proud to have GE, AIIMS, the Spinal Kinetics as our partners.

Join us, if you find this as exciting as we do!

Description:

Synapsica is looking for a Node.js/Python developer who is passionate about designing and implementing scalable solutions with highest quality. You will be responsible for creating high performance, responsive, and secure server-side programs to manage Synapsica platform. You will be responsible for designing, managing and supporting cloud platform and scaling our database. This role is ideal for you if you have a background in bakcned development and are looking for the next level of career growth in a fast paced, learning based and merit driven work environment.

Responsibilities:
- Design and development of our new platform modules from scratch. 
- Hands on implementation of our APIs and integrations. 
- Design, scaling and integration of new/existing databases.
- Ensuring the entire stack is designed and built for speed and scalability
- Design and construction of our REST APIs with best secutiry mechanisms.
- Design and implementation of continuous integration and deployment pipelines in tandem with the respective team members.
- Performance tuning and improvements in large scale systems.
- Ensuring responsiveness and cross-platform compatibility of applications.
- Owning and delivering end-to-end products, features, enhancements.

Requirements:
- Degree in Computer Science or related discipline with strong competencies in data structures, algorithms, and software design
- At least 4+ years of experience with writing Python/NodeJS/PHP/Ruby on Rails. 
- Prior experience of database design and management in MongoDB, including being up on the latest practices and associated versions.
- Experience in building highly scalable business applications, which involve implementing large complex business flows and dealing with huge amount of data.
- Familiarity with AWS (or equivalent) ecosystem with end-to-end cloud deployment.
- Experience implementing code level unit tests.
- Proficiency with Git / Version control.
- Appreciation for clean and well documented code

- Excellent verbal communication skills.
- Good problem solving skills.
- Attention to detail.
- Very high sense of ownership.
- Deep interest and passion for technology

About Synapsica Healthcare

At Synapsica, we are creating AI-first PACS and radiology workflow solution that is fast, secure and automates reporting tasks, helping radiologists create high quality reports quicker.

Our goal is to enable radiologists with fast, easy to use AI technology that helps generate high quality, evidence-based reports to significantly improve patient care.

Synapsica is a growth stage HealthTech startup founded by alumni from AIIMS, IIT-KGP & IIM-A with a vision to increase the accessibility of diagnostic services globally. We are solving the problem of shortage of radiologists by bringing in automation at various stages of the radiology reporting process to reduce reporting time, costs & error rates & deliver efficiencies for better patient care.

We are deploying Computer Vision based Neural Networks models to identify biomarkers of pathologies in Radiology scans. These models not just identify pathologies, but provide detailed characterization of what exactly constitutes that pathology.


RADIOLens
is an intuitive, AI enabled, cloud based RIS/PACS solution that makes diagnostic radiology workflows smoother. It provides Faster image uploading with Zero loss in image quality. RADIOLens helps automate mundane reporting tasks so radiologists can focus on clinical correlations for their patients.

Spindle for MRI Spine helps with reporting of age related degeneration of spine. It automatically identifies key spinal mensurations and provides a detailed, standardized report with annotated images of abnormal various spinal elements. It quickly identifies variations and pathologies, such as spinal deformations, degeneration, identification of listhesis, etc.

SpindleX
for stress X-Rays of spine takes automation a step further by generating a one click automated reporting for all XR cases. These reports quantify all abnormalities and features of injury or early degeneration such as spinal instability, abnormal intersegmental motion etc. Illustrative graphs and tables comparing extent of injury against standards are automatically included in the report making it easier to generate qualitative reports with visual evidence.

Crescent
segregates normal, abnormal and bad quality captures in chest X-rays. It identifies bad quality scans that need re-capture and for good scans it localizes and characterizes common lesions & abnormalities. With Crescent, standard, pre-filled reports are generated for normal radiographs and critical studies are prioritized in the worklist.

We are backed by Y Combinator and other investors from India, US and Japan. We are proud to have GE, AIIMS, the Spinal Kinetics as our partners.

Here’s a small sample of what we’re building: https://youtu.be/MtWSF-x2sxY


Join us, if you find this as exciting as we do!

 
 
 
 
Founded
2019
Type
Product
Size
20-100 employees
Stage
Raised funding
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