Deskripsi Pekerjaan
Nanyang Technological University (NTU) is seeking a talented and motivated Research Assistant/Associate to join our groundbreaking Lee Kuan Kien - Medicine (LKCMedicine) research team. This exciting opportunity focuses on cutting-edge precision medicine research, specifically developing AI-powered IVF outcome prediction models to revolutionize reproductive health outcomes.
In this role, you will work alongside world-class researchers and clinicians at Singapore's premier technological university, contributing to transformative research that combines advanced machine learning with clinical expertise. The project aims to improve success rates and patient outcomes in in vitro fertilization (IVF) treatments through sophisticated artificial intelligence systems.
NTU's LKCMedicine offers an exceptional research environment with state-of-the-art facilities, collaborative interdisciplinary teams, and strong industry partnerships. You will have opportunities to publish in high-impact journals, attend international conferences, and contribute to pioneering research that directly impacts patient care. The university provides competitive compensation packages, professional development opportunities, and a vibrant campus community.
This position is ideal for individuals passionate about the intersection of artificial intelligence, healthcare technology, and reproductive medicine. Join us in developing innovative solutions that will shape the future of fertility treatments and precision medicine.
Tanggung Jawab
- Develop and implement machine learning algorithms for IVF outcome prediction and analysis
- Collect, preprocess, and analyze large-scale clinical and biological datasets
- Collaborate with clinical researchers to design and validate AI models for patient outcomes
- Participate in research meetings, presentations, and scientific publications
- Maintain accurate research documentation and laboratory protocols
- Assist in grant writing and funding applications for ongoing projects
- Support graduate students and junior researchers in the team
- Stay updated with latest developments in AI, precision medicine, and reproductive health research
Kualifikasi
- Master's or Bachelor's degree in Computer Science, Biomedical Engineering, Data Science, Statistics, or related field
- Strong proficiency in Python, R, or other programming languages for data analysis
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
- Background in statistical analysis, data visualization, and model evaluation
- Understanding of clinical research methodologies and ethical considerations
- Excellent communication skills for interdisciplinary collaboration
- Prior experience in healthcare, bioinformatics, or reproductive medicine research is advantageous
- Self-motivated with strong problem-solving abilities and attention to detail