Imaging AI Data Science Expert
Who we are: -
At CitiusTech, we constantly strive to solve the industry's greatest challenges with technology, creativity, and agility. With over 8,500 healthcare technology professionals worldwide, CitiusTech powers healthcare digital innovation, business transformation, and industry-wide convergence for over 140 organizations through next-generation technologies, solutions, and products. We aim to accelerate the transition to a human-first, sustainable, and digital healthcare ecosystem with the world's leading Healthcare and life sciences organizations and our partners.
Here is an opportunity for you to make a difference and collaborate with global leaders to shape the future of healthcare and positively impact human lives.
Our vision: -
To inspire new possibilities for the health ecosystem with technology and human ingenuity.
What is in it for you?
Senior Data Scientist with deep expertise in Imaging AI to lead the development and deployment of cutting-edge solutions in medical imaging. The ideal candidate will have hands-on experience with frameworks such as MONAI (Medical Open Network for AI), MONAI Multi-Modal, and VLM-Radiology-Agent-Framework. This role will focus on exploring, optimizing, and implementing cost-effective MONAI-supported algorithms for training and testing in healthcare applications, particularly in radiology and medical device workflows
Key Responsibilities
AI Model Development & Optimization:
- Design, train, and fine-tune imaging AI models using MONAI Core, MONAI Label, and MONAI Deploy.
- Explore and implement cost-effective algorithms for tasks such as image segmentation, classification, registration, and multimodal data analysis.
- Leverage pre-trained models from the MONAI Model Zoo and customize them for specific healthcare use cases.
Multimodal Integration:
- Develop multimodal AI solutions integrating imaging data with textual or structured data using frameworks like MONAI Multi-Modal and VLM-Radiology-Agent-Framework.
- Utilize advanced techniques such as cross-modal attention to enhance model performance on multimodal datasets.
Healthcare-Specific Applications:
- Apply imaging AI models to solve real-world healthcare challenges, including radiological diagnosis support, quality checks, segmentation, classification etc.
- Ensure compliance with healthcare standards while handling sensitive medical data.
Performance Optimization:
- Optimize training pipelines for GPU acceleration using tools like DLProf, Nsight, NVTX, and distributed data-parallel APIs.
- Benchmark algorithms for efficiency and scalability on cloud platforms like AWS or Azure.
Collaboration & Leadership:
- Collaborate with clinicians, radiologists, and interdisciplinary teams to define project requirements and deliver impactful solutions.
- Provide mentorship to junior team members and lead technical discussions on imaging AI advancements.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, Biomedical Engineering, or a related field
Experience:
- Minimum of 10+ years of experience in machine learning or data science roles with a focus on medical imaging AI.
- Proven expertise in deploying production-grade imaging AI solutions using MONAI frameworks.
- Experience in healthcare or medical devices is highly preferred.
Technical Skills:
- Proficiency in Python and deep learning libraries (e.g., PyTorch).
- Hands-on experience with MONAI Core, MONAI Label, MONAI Deploy, and VLM-Radiology-Agent-Framework.
- Familiarity with cloud platforms (AWS SageMaker or Azure ML) for scalable model deployment.
Domain Knowledge:
- Strong understanding of medical imaging modalities (e.g., MRI, CT) and radiological workflows.
- Knowledge of healthcare regulations (e.g., HIPAA) and standards is a plus.
Soft Skills:
- Excellent problem-solving skills with a focus on optimizing models for real-world constraints.
- Strong communication skills to present findings to both technical and non-technical stakeholders.
Preferred Technologies
- Imaging Frameworks: MONAI Core, MONAI Label, MONAI Deploy
- Multimodal Frameworks: VLM-Radiology-Agent-Framework
- Cloud Platforms: AWS SageMaker, Azure ML Studio
- Optimization Tools: DLProf, Nsight Systems/Compute
- Evaluation Metrics: Dice Score, Hausdorff Distance, ROC Curves
Experience: -
Location (Onsite) : -
- San Jose, CA OR Waukesha, WI OR Toronto, Canada
Life at CitiusTech
We focus on building highly motivated engineering teams and thought leaders with an entrepreneurial mindset, centered on our core values of Passion, Respect, Openness, Unity, and Depth (PROUD) of knowledge. Our success lies in creating a fun, transparent, non-hierarchical, diverse work culture that focuses on continuous learning and work-life balance.
Rated by our employees as the ‘Great Place to Work for’ according to the Great Place to Work survey. We offer you a comprehensive set of benefits to ensure that you have a long and rewarding career with us.
Our EVP
Be You Be Awesome is our EVP and it reflects our continuing efforts to create CitiusTech as a great place to work where our employees can thrive, both personally and professionally. It encompasses the unique benefits and opportunities we offer to support your growth, well-being, and success throughout your journey with us and beyond. Together with our clients, we are solving some of the greatest healthcare challenges and positively impacting human lives. Welcome to the world of Faster Growth, Higher Learning, and Stronger Impact.
Join CitiusTech. Be You. Be Awesome.
To learn more about CitiusTech, visit www.citiustech.com
