Postdoc Research Fellow/Research Scientist

Overview Research Fellow (Postdoctoral) positions are available in the Computational Digital Pathology Lab (CDPL) at the Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore. The AI-based Digital Pathology (AIDP) Program aims to develop and validate AI and machine learning solutions, image processing, computer vision, and mathematical modelling for the pathological diagnosis and prognosis of cancer using digitized pathology slides, including both biopsy and whole slide images. The AI-based Digital Pathology Diagnosis (AIDP) programme is a pioneering venture set to transform the landscape of AI pathological diagnosis and address the global shortage of pathologists and rising cancer cases with cutting-edge AI technologies. The focus is on bridging gaps in data quality, model generalizability and market scalability, and on developing artificial intelligence systems that accurately diagnose cancer and other diseases from digital pathology images. This program is supported by national funding and led by cross-disciplinary leaders in the field, providing opportunities for professional growth and collaboration with top-tier experts. We are seeking passionate, talented individuals to join our dynamic team who are driven by curiosity and want to be at the forefront of AI medical innovation. As a member of our team, you will work in a stimulating environment where creativity and initiative are valued. You will have access to state-of-the-art facilities, high-quality data and resources, and the chance to contribute to high-impact research that can shape the future of pathology. Our focus is on creating robust, reliable AI systems that can assist pathologists in making faster and more accurate diagnoses, ultimately improving patient care. For a research overview of our lab, please refer to the lab page. Strong candidates will contribute to the development of AI-based pathology tools and collaborate with clinical researchers to advance translational research in digital pathology. Specific Technical Requirements Proficiency in one or more programming languages: Matlab, C/C++, or Python, etc. Extensive knowledge, experience, and expertise in artificial intelligence, machine learning, pattern recognition, and digital image processing techniques. Practical coding skills in implementing numerical computational algorithms. Strong analytical and logical thinking skills to address and solve complex scientific problems. Familiarity with deep learning frameworks such as TensorFlow, PyTorch, or similar. Demonstrated ability to learn quickly and integrate knowledge across multiple disciplines. Experience or willingness to engage in collaborations with hospitals and clinical settings. Basic knowledge of cell biology or pathology is beneficial. Ability to present and articulate research findings at both internal and external seminars and conferences. Strong writing skills for both technical reports and scientific papers. General Requirements Highly motivated scientists or recent Ph.D. graduates eager to pursue a scientific career, particularly with a passion for artificial intelligence, machine vision, computer vision and biological image processing projects. Strong team player capable of conducting independent research under the guidance of the Principal Investigator (PI) and collaborating effectively with lab members. Quick learner with the ability to adapt to new technologies and methodologies. Robust understanding and knowledge of scientific and engineering principles. Excellent scientific and technical writing skills, coupled with outstanding communication abilities. Proven experience or strong interest in working within cross-disciplinary teams, including collaborations with hospitals and clinical researchers. Previous experience in AI and image analysis projects, whether in an industrial or academic setting, is advantageous. Seniority level Associate Employment type Full-time Job function Research, Analyst, and Information Technology Industries Research Services #J-18808-Ljbffr