Team Description:
Kitware's Medical Computing team solves complex healthcare challenges through customized software solutions. The team provides research, development, and technology integration services to research centers, universities, and companies in the medical and biomedical sectors. By joining our team you will participate in a dynamic multidisciplinary work environment with exceptionally talented computer scientists, software engineers, mechanical engineers, and biomedical engineers.
About the Projects:
We build powerful software solutions using our well-established open source platforms including VTK, ITK, 3D Slicer, Pulse, CMake, and ParaView. These platforms are mature, supported, documented, and thoroughly tested software systems that are in use by tens of thousands of developers and end-users worldwide. Our commercial projects involve generating solutions for medical device companies from ultrasound and preclinical imaging companies, to surgery device companies. Our research projects involve collaborations with top research institutions, including Harvard Medical School, MIT, Cleveland Clinic, Duke University, UNC-Chapel Hill, and others, and build on our open source platforms.
In This Position You Will:
- Develop advanced image analysis and machine learning algorithms that will be deployed as part of software applications for medicine that are used by people and customers, every day, around the world
- Extend the capabilities of MONAI, ITK, and 3D Slicer to meet the needs of academic and commercial users as they investigate new medical procedures and imaging systems, release innovative products, and improve all aspects of patient care.
- Collaborate with world-class coworkers and external collaborators on dynamic, fast-paced projects
Required Qualifications:
- Ph.D. in Computer Science or related field with emphasis in medical image analysis and machine learning
- Highly innovative and demonstrated track record for solving difficult technical challenges using medical image analysis algorithms
- Possess a strong foundation in classical image registration and segmentation techniques, as well as expertise in modern deep learning-based approaches for image analysis
- Strong publication record in relevant journals and conferences such as (but not limited to) TMI, MICCAI, SPIE MI, ISBI, and/or IPMI
- Familiarity with open-source toolkits and applications for medical image analysis and machine learning such as ITK, Slicer, scikit-learn, MONAI, and/or PyTorch
- Experience programming in C/C++ and Python
Preferred Qualifications:
- Demonstrate advanced expertise in ultrasound imaging, including acquisition, image generation, and analysis
- Proven track record of conducting research and contributing methodologies and code implementations to open-source platforms, showcasing a commitment to collaborative development and practical implementation
Company Description:
Kitware is a research and development software solutions provider with a mission to advance science, make a positive impact, and share our results all within a collaborative, employee-focused work environment that is friendly, fair, and flexible. Our work is improving healthcare outcomes, increasing national security, and advancing our national computing infrastructure. Our customers and collaborators include top universities from around the world, government organizations, national research labs, medical device manufacturers, car manufacturers, financial institutions, and many others.
Kitware is proud to be 100% employee-owned, and Great Place to Work-Certified™.
Additional Information:
Our team members enjoy a small company environment, flexibility in work assignments, and high levels of independence and responsibility. Besides a great work environment, our comprehensive benefits package includes a competitive compensation plan, tuition reimbursement program, flexible working hours, six weeks paid time off, 401(k), health insurance, life insurance, short- and long-term disability insurance, bonus plan, and free coffee, drinks, and snacks.
Kitware actively subscribes to a policy of equal employment opportunity. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, protected veteran status, uniformed service member status, or any other characteristics protected by applicable law.
Any unsolicited resume sent to Kitware, including to Kitware's mailing addresses, fax machines or email addresses, whether directly to Kitware employees or to Kitware's applicant tracking system, will be considered Kitware property. Kitware will not pay a fee for any placement resulting from the receipt of an unsolicited resume, and will consider any candidate submitted by a recruitment agency without a fully executed contract with Kitware to have been referred free of any charges or fees.
If you need assistance with applying or interviewing for a role due to a disability or special need, please reach out directly to our HR team at [email protected] at any time during the hiring process.
