Medical Imaging Data Architect
2 days ago
At Humonics Global, we are on a mission to revolutionize medical image diagnostics with innovative and intelligent solutions. We aim to create a paradigm shift in the industry by providing holistic, explainable, and patient-centric care.
We are seeking an exceptional Data Scientist who can be a key contributor in our fast-paced product development environment. Your primary focus will be on applying deep learning techniques to build high-quality prediction and recommendation systems integrated with numerous APIs and big data backend.
Responsibilities:- Selecting features, building, and optimizing classifiers and recommendation engines using deep learning techniques.
- Designing solutions for complex problems related to medical image analysis using Deep Learning/Object Detection/Image Segmentation.
- Recommend and implement best practices around application of statistical modeling.
- Create, train, test, and deploy various neural networks to solve complex problems.
Your skills and qualifications should include excellent understanding and hands-on experience with deep learning techniques such as ANN, CNN, RNN, LSTM, Transformers, VAEs, etc. You must have experience with TensorFlow or PyTorch framework in building, training, testing, and deploying neural networks.
Additionally, you should have knowledge of common data science and deep learning libraries and toolkits such as Keras, Pandas, Scikit-learn, Numpy, Scipy, OpenCV, etc. Good applied statistical skills, such as distributions, statistical testing, regression, etc., are also essential.
The estimated salary for this position is $120,000 per year, based on national averages and industry standards. If you are passionate about working with cutting-edge technologies and making a difference in the medical imaging industry, we encourage you to apply.
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