高级AI研究科学家
Senior AI Research Scientist
高级人工智能研究科学家
关于iCAD：
iCAD是一家全球领先的公司，致力于创造一个癌症无处可藏的世界。我们提供经临床验证的AI驱动解决方案，使医疗保健提供者能够更准确、可靠地早期检测癌症并改善患者预后。iCAD行业领先的ProFound乳腺健康套件为乳腺癌检测、密度评估和风险评估提供AI驱动的乳腺X线摄影分析。ProFound乳腺健康套件已通过美国食品药品监督管理局（FDA）的审批，并获得了CE标志和加拿大卫生部许可。数千家医疗机构使用该产品服务数百万名患者，ProFound已在50多个国家上市。
职位描述：
iCAD正在寻找一位有才华且有动力的高级人工智能研究员加入我们充满活力和创新精神的团队。作为我们研究和开发工作的关键贡献者，您将在设计、开发和改进基于人工智能的医疗设备方面发挥核心作用，这些设备将推动医学影像和医疗保健领域的下一代解决方案，特别是在乳腺癌检测和诊断方面。此职位提供了在快节奏环境中与尖端技术合作的机会，同时通过改进的医疗解决方案直接为挽救生命做出贡献。
职责：
- 人工智能模型开发：设计、开发和优化人工智能/机器学习模型，特别是深度学习算法，以提升我们的乳腺癌检测和成像工具。
- 算法研究：开展研究，识别可用于医学图像分析的人工智能和机器学习中的新方法、技术和工具。
- 与产品管理团队协作：与产品管理团队紧密合作，确定AI可以推动有意义的产品功能和市场差异化改进的关键创新领域。通过提供与客户需求和业务目标一致的AI趋势和潜在研究突破的见解，为战略路线图做出贡献。
- 数据分析：处理大型医疗数据集，执行数据预处理、标注和增强任务，以提高人工智能模型的准确性和效率。
- 跨团队协作：与软件工程师、放射科医生、临床团队和其他利益相关者合作，将人工智能解决方案集成到生产环境中，并评估其实际性能。
- 验证与测试：主导人工智能模型的测试和验证工作。
查看英文原文
SENIOR AI RESEARCH SCIENTIST
About iCAD:
iCAD, a global leader on a mission to create a world where cancer can’t hide by providing clinically proven AI-powered solutions that enable medical providers to accurately and reliably detect cancer earlier and improve patient outcomes. iCAD’s industry-leading ProFound Breast Health Suite provides AI-powered mammography analysis for breast cancer detection, density assessment and risk evaluation. The ProFound Breast Health Suite is cleared by the U.S. Food & Drug Administration (FDA) and has received CE mark and Health Canada licensing. Used by thousands of providers serving millions of patients, ProFound is available in over 50 countries.
POSITION DESCRIPTION:
iCAD is seeking a talented and motivated Senior AI Researcher to join our dynamic and innovative team. As a critical contributor to our research and development efforts, you will play a pivotal role in designing, developing, and improving AI-based medical devices that will drive the next generation of solutions in medical imaging and healthcare, particularly in breast cancer detection and diagnosis. This position offers the opportunity to work in a fast-paced environment with cutting-edge technology while directly contributing to saving lives through improved healthcare solutions.
RESPONSIBILITIES:
- AI Model Development: Design, develop, and optimize AI/ML models, specifically deep learning algorithms, to advance our breast cancer detection and imaging tools.
- Algorithm Research: Conduct research to identify new methodologies, techniques, and technologies in artificial intelligence and machine learning that can be applied to medical image analysis.
- Collaboration with Product Management: Work closely with Product Management to identify key innovation areas where AI can drive meaningful product functionality and market differentiation improvements. Contribute to strategic roadmaps by providing insights on AI trends and potential research breakthroughs that align with customer needs and business goals.
- Data Analysis: Work with large medical datasets, performing data preprocessing, annotation, and enhancement tasks to improve the accuracy and efficiency of AI models.
- Collaborate Across Teams: Partner with software engineers, radiologists, clinical teams, and other stakeholders to integrate AI solutions into production environments and evaluate their real-world performance.
- Validation and Testing: Lead the testing and validation of AI models to ensure they meet regulatory standards, including FDA clearance, and are robust for clinical use.
- Research Publications and Product Marketing Support: Provide write-ups, white papers, and technical documentation that clearly describe the functionality, benefits, and impact of AI models and innovations. Collaborate with Product Management and Marketing teams to highlight the key benefits of research deliverables for external audiences, including customers, investors, and healthcare professionals.
- Mentorship: Provide mentorship and guidance to junior researchers and collaborate with cross-functional teams to accelerate research and development efforts.
- Regulatory Compliance: Ensure all AI development activities comply with healthcare industry regulations and are accompanied by supporting documentation for submissions to regulatory bodies.
REQUIREMENTS:
- Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related field.
- 5+ years of R&D experience in medical imaging, computer vision, or machine learning, with a proven track record of developing AI solutions.
- Expertise in deep learning frameworks such as TensorFlow, Keras, or PyTorch.
- Advanced knowledge of Python and C++ for implementing AI solutions.
- Demonstrated experience with large-scale data processing and managing complex datasets.
- Experience with medical imaging datasets (e.g., DICOM, mammography, CT, MRI) is highly preferred.
- Solid understanding of AI model validation techniques, regulatory requirements (e.g., FDA 510(k)), and experience working in a healthcare environment.
- Strong publication history in top-tier conferences and journals, showcasing original research.
- Strong communication skills, with the ability to present complex research results to technical and non-technical stakeholders.
- Excellent analytical, organizational, and communication skills with the ability to present complex ideas clearly.
- A proactive team player, capable of working independently while contributing to cross-functional teams.
- Ability to generate patentable ideas and contribute to intellectual property development.
Preferred Qualifications:
- Experience with explainable AI (XAI) and model interpretability in medical applications.
- Familiarity with cloud platforms (Google Cloud, AWS) and deploying AI solutions in cloud environments.
- Knowledge of biostatistics, healthcare regulations, and clinical workflows.
- Experience working in cross-functional teams and fast-paced R&D environments.
LOCATION:
Full Remote.
Originally posted on Himalayas