You are responsible for
Design and develop applications for clinicians to be able to facilitate better decisions on diagnosis and treatment of the patients
Develop and evaluate first-of-kind AI based ultrasound solutions to provide clinical decision support, user guidance, improve clinical workflow and optimize patient outcomes
Develop solutions as per the project plan
Interact with clinical customers to understand their problems, share insights and best practices, and validate prototypes of solutions to assess their value in patient care
Write clinical protocols with the help of clinicians to conduct clinical studies
Contribute to the patent portfolio. Write invention disclosures and (co-)author the final patent application. Publish papers in reputed conferences and journals.
Act as an objective source of information within one's area of technology
You are a part of
Philips Research India provides the front end innovations (research proposals) in healthcare area focusing on emerging market needs especially India.
The innovations include the value propositions, integrated solutions and products that have impact on the targeted end users like specialists, general doctors, healthcare workers, hospital administrators and patients.
The proven propositions are transferred to businesses to be part of their roadmap, which helps in increasing the market share of Philips.
To foster speeding up end-to-end innovation from idea to market, it is essential to manage the entire chain including the front end innovation which includes Exploration and Proof of Concept phases, as well as formal Product Realization.
We partner with global Philips Research labs as well as Healthcare sector & India key market organization.
To succeed in this role, you should have the following skills and experience
minimum of 5 - 7 years relevant experience in design, development, and evaluation of AI based applications in healthcare domain
Experience in Machine Learning, Deep Learning and AI
Experience in computer vision / image / video analytics
Experience in healthcare domain is good to have
Experience in ultrasound is good to have
M Tech / MS (by Research) in CS / Electronics with 5 - 7 years of relevant experience
PhD in CS / Electronics with 0 2 years of experience
Knowledge of analyzing images, videos, time series data
Machine Learning / Statistics concepts : Eg. Neural Networks, Fuzzy Logic, MLP, SVM, Decision trees, Random forests
Programming / Scripting languages :
Python, R, C++ (ITK, VTK), DL (Tensorflow, Pytorch, etc)