Our client, an extremely innovative MedTech company, specializes in AI-powered solutions for medical imaging within the oncology field. As they prepare to initiate clinical trials, they seek a highly skilled Machine Learning AI Medical Imaging Expert to focus on clinical integration and PACS (Picture Archiving and Communication System) in support of diagnostic imaging within oncology.
Position Summary:
In this role, you will play a pivotal role in advancing the integration of AI systems into clinical workflows, with PACS as a primary focus. You will leverage machine learning expertise, specifically in Pytorch and Google Cloud Platform (GCP), to support clinical trials and ensure seamless integration of AI imaging solutions. With models ready and segmentation as the next phase, your work will directly impact patient outcomes by supporting healthcare professionals in the efficient and accurate handling of medical imaging.
Key Responsibilities:
- Clinical Integration: Lead the integration of AI and machine learning models with PACS and other hospital information systems (e.g., EHR, RIS) to ensure smooth clinical workflows.
- Machine Learning Model Deployment: Apply your knowledge of machine learning in PyTorch and GCP to deploy and manage AI models focused on oncology imaging, emphasizing segmentation.
- PACS Management: Oversee the effective storage, retrieval, management, and secure sharing of digital images within the PACS, ensuring full system integration with patient health records.
- Collaboration with Clinical Teams: Act as a key collaborator with radiologists, oncologists, and technical teams to optimize model performance and align AI solutions with clinical needs.
- Data Integrity & Compliance: Maintain high standards for data integrity, security, and compliance, aligning with healthcare regulations and best practices.
- Innovation in Medical Imaging: Contribute to the development and refinement of machine learning techniques that enhance image processing, segmentation, and predictive analytics in oncology care.
Qualifications:
- Experience: 3-5+ years in AI and machine learning applications within medical imaging, with a focus on oncology.
- Technical Skills: Proficiency in PyTorch, GCP, and PACS integration; experience with clinical imaging systems and workflows.
- Soft Skills: Highly collaborative, humble, and team-oriented with a strong commitment to improving patient outcomes.
- Education: Degree in Computer Science, Data Science, Biomedical Engineering, or a related field.
Can this be interesting for you or anyone you know? If so, please send Gabriel Andrade: g.andrade@panda-int.com, your number/CV ASAP and I'll give you a call. Interviews will start next week.
Position: Machine Learning Engineer
Contract: Permanent
Start Date: Immediately or by agreement