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Join Our Team at the School of Biological Sciences, Nanyang Technological University, Singapore
The School of Biological Sciences (SBS), part of the College of Science at Nanyang Technological University, was established in 2002 with a mission to advance excellence in biological and biomedical sciences. Our research spans diverse and impactful areas including infectious diseases, immunology, neurodegenerative disorders, telomere biology, and genome function. SBS is home to a vibrant, international community of scientific leaders, researchers, and professionals dedicated to innovation, discovery, and education.
Join the research team of Dr. Fuying Dao at the School of Biological Sciences. We are seeking a Research Assistant to support an AI-driven computational biology project focused on developing artificial intelligence and AI agent-based methods for biological data analysis. The role will contribute to research in genomics, epigenetics, and disease-related regulatory mechanisms, and will involve computational pipeline development, biological data analysis, implementation of machine learning and deep learning models, and integration of AI approaches with biological knowledge.
Key Responsibilities:
Collect, process, and analyze biological datasets, including RNA-seq, Hi-C, ChIA-PET, ATAC-seq, and other omics data.
Develop machine learning and deep learning models to address computational biology and biomedical research questions.
Write, test, and maintain research code using Python, R, and relevant bioinformatics tools.
Perform data preprocessing, quality control, feature extraction, and downstream analysis.
Support the development of AI agent-based workflows for biological data analysis.
Assist in result interpretation, visualization, and preparation of reports, figures, and presentations.
Contribute to literature review, method development, and project documentation.
Support manuscript preparation and other research-related duties as assigned.
Job Requirements:
BSc in Bioinformatics, Computational Biology, Computer Science, Data Science, Biology, Biomedical Science, or a related field.
Relevant research or technical experience in computational biology, bioinformatics, artificial intelligence, machine learning, or deep learning is preferred.
Familiarity with biological data analysis, especially omics data such as RNA-seq, Hi-C, ChIA-PET, and ATAC-seq.
Good programming skills in Python and R, with experience in relevant bioinformatics and data analysis tools.
Basic knowledge of machine learning and deep learning methods for biological or biomedical applications.
Good written and oral communication skills.
Strong analytical, problem-solving, and organizational skills.
Ability to work independently and collaboratively in a research environment.
Meticulous, responsible, and able to manage tasks under timelines
The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.
We regret that only shortlisted candidates will be notified.
Job ID: 147290137
Skills:
biological data analysis , Deep Learning, Machine Learning, Python, ATAC-seq, ChIA-PET, R, bioinformatics tools, Hi-C, RNA-seq
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