Senior AI Scientist

at Synapsica Healthcare

DP
Posted by Human Resources
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Bengaluru (Bangalore)
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5 - 8 yrs
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₹12L - ₹30L / yr (ESOP available)
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Full time
Skills
Artificial Intelligence (AI)
Computer Vision
Deep Learning
PyTorch
Image Processing
TensorFlow
Keras

Sr AI Scientist, Bengaluru

Job Description

Introduction

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 analyse medical images and create v2.0 of advanced radiology reporting. We are backed by YCombinator and other investors from India, US and Japan. We are proud to have GE, AIIMS, the Spinal Kinetics as our partners.

 Your Roles and Responsibilities

The role involves computer vision tasks including development, customization and training of Convolutional Neural Networks (CNNs); application of ML techniques (SVM, regression, clustering etc.) and traditional Image Processing (OpenCV etc.). The role is research focused and would involve going through and implementing existing research papers, deep dive of problem analysis, generating new ideas, automating and optimizing key processes.

 

Requirements:

  • 4+ years of relevant experience in solving complex real-world problems at scale via computer vision based deep learning.
  • Strong problem-solving ability
  • Prior experience with Python, cuDNN, Tensorflow, PyTorch, Keras, Caffe (or similar Deep Learning frameworks). 
  • Extensive understanding of computer vision/image processing applications like object classification, segmentation, object detection etc 
  • Ability to write custom Convolutional Neural Network Architecture in Pytorch (or similar)
  • Experience of GPU/DSP/other Multi-core architecture programming
  • Effective communication with other project members and project stakeholders
  • Detail-oriented, eager to learn, acquire new skills
  • Prior Project Management and Team Leadership experience
  • Ability to plan work and meet deadlines

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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₹4L - ₹20L / yr
Data Scientist : Pluto7 is a services and solutions company focused on building ML, Ai, Analytics, and IoT tailored solutions to accelerate business transformation.We are a Premier Google Cloud Partner, servicing Retail, Manufacturing, Healthcare, and Hi-Tech industries. We are a Google premium partner in AI & ML, which means you'll have the opportunity to work and collaborate with folks from Google. Are you an innovator, have a passion to work with data and find insights, have the inquisitive mind with the constant yearning to learn new ideas; then we are looking for you.As a Pluto7 Data Scientist engineer, you will be one of the key members of our innovative artificial intelligence and machine learning team. You are expected to be unfazed with large volumes of data, love to apply various models, use technology to process and filter data for analysis. Responsibilities: Build and Optimize Machine Learning models. Work with large/complex datasets to solve difficult and non-routine analysis problems, applying advanced analytical methods as needed. Build and prototype data pipelines for analysis at scale. Work cross-functionally with Business Analysts and Data Engineers to help develop cutting edge and innovative artificial intelligence and machine learning models. Make recommendations for selections on machine learning models. Drive accuracy levels to the next stage of the given ML models. Experience in developing visualisation and User Good exposure in exploratory data analysis Strong experience in Statistics and ML algorithms. Minimum qualifications: 2+ years of relevant work experience in ML and advanced data analytics(e.g., as a Machine Learning Specialist / Data scientist ). Strong Experience using machine learning and artificial intelligence frameworks such as Tensorflow, sci-kit learn, Keras using python. Good in Python/R/SAS programming. Understanding of Cloud platforms like GCP, AWS, or other. Preferred qualifications: Work experience in building data pipelines to ingest, cleanse and transform data. Applied experience with machine learning on large datasets and experience translating analysis results into business recommendations. Demonstrated skills in selecting the right statistical tools given a data analysis problem. Demonstrated effective written and verbal communication skills. Demonstrated willingness to both teach others and learn new techniques Work location : Bangalore
Job posted by
Sindhu Narayan
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