Computational Biologist

We are seeking a highly skilled Computational Biologist to join our team. As a Computational Biologist with a background in AI and machine learning, you will be responsible for developing and implementing AI-driven algorithms to analyze digital pathology images and datasets.

This is an exciting opportunity to apply your expertise in both AI and biology to create impactful solutions that can change the landscape of healthcare.

You will be working closely with biologists, bioinformaticians, and other domain experts to understand biological requirements and translate them into AI-based solutions.

• Develop and implement machine learning and deep learning models for analyzing digital pathology images, including tissue slides, cellular structures, and molecular data.
• Work closely with biologists, bioinformaticians, and other domain experts to understand biological requirements and translate them into AI-based solutions.
• Design and optimize AI algorithms for image segmentation, feature extraction, classification, and prediction in the context of pathology.
• Utilize large-scale medical datasets (including histopathology, genomics, and clinical data) to train and validate AI models.
• Conduct rigorous model validation and performance evaluation to ensure clinical relevance, robustness, and generalizability of AI models.
• Collaborate with research teams to design experiments and analyze results that contribute to scientific publications or patent applications.
• Stay up-to-date with the latest advancements in AI and digital pathology, and propose novel approaches for integrating them into our product development pipeline.
• Participate in the creation of technical documentation, including reports, user guides, and research papers.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Biomedical Engineering, Computational Biology, or a related field.
• Strong experience with AI and machine learning frameworks (e.g., TensorFlow, PyTorch, Keras).
• Proven experience in digital pathology, including knowledge of medical imaging techniques (e.g., whole-slide imaging, histopathology, immunohistochemistry).
• Familiarity with image processing and computer vision techniques (e.g., convolutional neural networks, image segmentation).
• Solid understanding of data preprocessing, feature extraction, and augmentation techniques for medical image analysis.
• Experience with large-scale biomedical datasets, including clinical data, pathology images, and genomic data.
• Proficiency in programming languages such as Python, R, or MATLAB.
• Strong analytical and problem-solving skills, with a keen attention to detail.
• Excellent communication and teamwork skills, with the ability to collaborate effectively with cross-functional teams.

• Competitive salary and benefits package.
• Opportunity to work on groundbreaking projects with leading experts in the field.
• A collaborative and innovative work environment.
• Professional development opportunities and continuous learning.