Python Developer, DICOM
SuperviselyEstonia6 hours ago
Full-timeRemote FriendlyEngineering, Information Technology
Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full description.
Work in Supervisely
Python Developer, DICOM
Having a strong toolbox for processing and visualizing medical volumetric data from CT/ MRI imaging is an essential step in various medical applications that ranges from simple tumor identification to the assessment of tumor response and treatments in clinical oncology. Nowadays, the application of computer vision technologies in medical imaging has attracted extensive attention.
We at Supervisely are building python toolkit for visualizing and processing 2D and 3D medical images, including Neural Networks support. We believe that AI-base approaches and well-designed research infrastructure are game changers in medicine. Most of our developments are open-sourced and shared with the ML community.
Our goal is to build the best tools for medical images that will help engineers and data scientists to significantly speed up development in this field.
Python
Remote
Apply for role Other roles
About Supervisely
You can think of Supervisely as an Operating System available via Web Browser to help you solve Computer Vision tasks. The idea is to unify all the relevant tools within a single Ecosystem of apps, tools, UI widgets and services that may be needed to make the AI development process as smooth and fast as possible.
More Concretely, Supervisely Includes The Following Functionality
Learn More Here
Apply for the role now! We kindly ask you to complete this Google Form to continue. Please make sure to answer all the questions provided to help us better understand you — and we will get back in time!
Complete Google Form
Python Developer, DICOM
Having a strong toolbox for processing and visualizing medical volumetric data from CT/ MRI imaging is an essential step in various medical applications that ranges from simple tumor identification to the assessment of tumor response and treatments in clinical oncology. Nowadays, the application of computer vision technologies in medical imaging has attracted extensive attention.
We at Supervisely are building python toolkit for visualizing and processing 2D and 3D medical images, including Neural Networks support. We believe that AI-base approaches and well-designed research infrastructure are game changers in medicine. Most of our developments are open-sourced and shared with the ML community.
Our goal is to build the best tools for medical images that will help engineers and data scientists to significantly speed up development in this field.
Python
Remote
Apply for role Other roles
About Supervisely
You can think of Supervisely as an Operating System available via Web Browser to help you solve Computer Vision tasks. The idea is to unify all the relevant tools within a single Ecosystem of apps, tools, UI widgets and services that may be needed to make the AI development process as smooth and fast as possible.
More Concretely, Supervisely Includes The Following Functionality
- Data labeling for images, videos, 3D point clouds and volumetric medical images (DICOM)
- Data visualization and quality control
- State-Of-The-Art Deep Learning models for segmentation, detection, classification and other tasks
- Interactive tools for model performance analysis
- Specialized Deep Learning models to speed up data labeling (aka AI-assisted labeling)
- Synthetic data generation tools
- Instruments to make it easier to collaborate for data scientists, data labelers, domain experts and software engineers
Learn More Here
- Try Community Edition
- Explore apps in Supervisely Ecosystem
- Find technical details in our Developer portal
- Implementing apps to cover basic data operations: data exploration, visualizations, import, export, converters between different formats, filtering, etc.
- Working with popular data formats, like DICOM, NRRD, nifti, stl, etc...
- Adopting Supervisely platform for medicine domain by exploring and integrating best industry practices
- Coding mostly in Python, basic understanding of HTML and Vue.js is welcomed, but not required
- Creating tools for synthetic datasets generation
- Proactively solving technical challenges and fixing bugs
- Collaborating with our Enterprise customers and Community Users to help them customize Supervisely platform by building Supervisely Apps
- Contributing ideas and constructive feedback to our product development roadmap
- Improving documentation, creating guides and tutorials for our developer portal
- 2+ year in Python software development
- Experience in medical image processing or willingness to become an expert in it
- Knowledge of major Python libraries like Numpy, Pandas, requests, sklearn, OpenCV
- Good background in mathematics and linear algebra
- Good understanding of modern developer tools: docker, git, github, vscode, venv
- Strong principles towards writing clean, simple and maintainable code
- Good verbal and written communication skills in English
- Experience in Medical Processing libraries like itk, sitk, pydicom
- Experience in neural networks and other algorithms for volumetric data, e.g. interpolation
- Understanding of popular data formats
- Development of your own Python library / repository or participating and contributing in a popular one
- Familiarity with any cloud systems (AWS, Azure, Google app engine)
- University degree in a technical subject (Computer science, Mathematics, or similar) or equivalent experience in the industry
- Experience creating tutorials, videos or technical blog posts
- Experience in building your own startup or product
- Play a direct role in shaping the future of building Computer Vision solutions
- Working on Supervisely App Engine - the new way of building python single page web applications that can be also used outside Supervisely
- Accelerate your professional growth by solving challenging development tasks
- Contribution to open-course: Supervisely Python SDK and all Apps in our Ecosystem are open-sourced
- Impact and work with our growing community of 65k+ companies, researchers and developers worldwide
- Work closely and solve real tasks with our customers — leading companies in various industries like autonomous vehicles, agriculture, medicine and manufacturing
- Intensive knowledge sharing with our extremely talented web-development team
Apply for the role now! We kindly ask you to complete this Google Form to continue. Please make sure to answer all the questions provided to help us better understand you — and we will get back in time!
Complete Google Form
- or share this opportunity on social media:
Key Skills
Ranked by relevanceReady to apply?
Join Supervisely and take your career to the next level!
Application takes less than 5 minutes