Senior AI Developer for Medical Image Processing
MINERVA IMAGING ApS
Join Minerva Imaging as a Senior AI Developer and be part of pioneering breakthroughs in translational cancer research and drug development
Are you passionate about developing AI for automatic voxel segmentation/ROI detection of images and eager to make an impact in a cutting-edge industry?
Minerva Imaging is seeking a skilled Senior AI Developer to join our innovative Digital Solutions and Technology department.
If you're eager to join an innovative company that's been recognized with six Gazelle awards for our exceptional growth, we want to hear from you!
About the Role
In this role, you'll lead the AI development of automatic voxel segmentation and ROI detection of images and play a pivotal role in the development of our internal Python applications together with your colleagues in our development team. You'll collaborate closely with our R&D imaging team, ensuring the smooth integration and continuous improvement of automating imaging processes utilizing AI.
Key Responsibilities:
- Lead the development and implementation of AI models and algorithms for imaging applications.
- Collaborate with the R&D imaging department to define project requirements and deliverables.
- Optimize and enhance the developed AI models to improve performance and accuracy.
- Conduct research and stay up to date with the latest advancements in AI and imaging technologies.
- Mentor and guide other developers, fostering a culture of continuous learning and improvement.
- Develop and maintain robust, scalable, and efficient code in Python.
- Participate in code reviews and ensure adherence to best practices and coding standards.
- Create and maintain comprehensive documentation on the developed solutions.
Qualifications:
- Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, or a related field.
- 5+ years of proven experience as an AI Developer, with a focus on medical imaging processing, deep learning techniques, and Python coding.
- Strong proficiency in Python and relevant libraries (e.g., TensorFlow, PyTorch, OpenCV).
- Knowledge of DICOM.
- Solid understanding of machine learning algorithms and frameworks.
- Excellent problem-solving skills and the ability to work independently and as part of a team.
- Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.
- Familiarity with DevOps practices and tools.
On-Site Requirement:
- This position is on-site, and the successful candidate must be able to participate in on-site interviews and work at the offices in our facility in Ølstykke.
Minerva offers:
We care about our employees’ well-being and offer health insurance and a quality conscious lunch scheme and monthly social activities. We are an informal organization with a strong focus on open and honest communication. We value humour and a natural care for one another.
Application:
Please submit your application to us no later than 30-04-2025. The application must include a motivated cover letter, exam papers and a CV addressing the listed qualifications. Applications will be evaluated continuously.
If you have questions regarding the position, please contact Jacob Breiting Sönnichsen at JBS@minervaimaging.com
About Minerva Imaging:
Minerva Imaging is a scientifically driven and integrated CRO and CDMO specialized in targeted radionuclide therapies. We focus on the use of advanced animal models within oncology, cardiovascular diseases, and in vivo molecular imaging for translational research and drug development.
We engage with our sponsors to understand their scientific questions and discuss how our methods and capabilities can provide answers. Our facility located in Ølstykke, Denmark offers best–in–industry fully integrated radiopharmaceutical research, drug development, and manufacturing services.
Minerva Imaging is an equal opportunity employer, and we encourage candidates of all backgrounds and experiences to apply.
Follow us on LinkedIn for the latest news updates or visit www.minervaimaging.com for more information.
Department: Digital solutions & Technology
Deadline: 30 April 2025
Location: Lyshøjvej, 21, 3650, Ølstykke, Denmark
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