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ÐÂ¼ÓÆÂ¿Æ¼¼Ñо¿¾Ö£¨A*STAR)
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Singapore Immunology Networks£¬ A*STAR
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https://www.a-star.edu.sg/sign
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Chen_Jinmiao@immunol.a-star.edu.sg

Job Description
Three Bioinformatician research fellow (postdoctoral) positions are available in Dr Jinmiao Chen¡¯s Single-Cell Computational Immunology (SCCI) lab at Singapore Immunology Network, A * STAR, Singapore (https://www.a-star.edu.sg/sign). The position will perform single-cell RNA-seq data analysis and derive knowledge from the data by applying state-of-the-art tools or developing novel computational methods. The analytical scope may include data pre-processing, quality control to remove low quality cells, normalization/batch effect correction, dimensionality reduction, clustering analysis, automatic cell type identification, cell lineage and pseuedotime inference, cell-to-cell interactions, integration of heterogeneous datasets and data types, building human single-cell atlas, and etc. The work will involve a wide range of exciting and cutting-edge research projects including human cancer immunology (ex Leukemia, Gasstric Cancer, Lung Cancer, etc), infectious diseases (ex TB, Dengue, HIV, HBV, etc), autoimmune diseases (ex SLE, psoriasis, atopic dermatitis, etc), and fundamental research to understand immune system (ex. heterogeneity, origins and functions of dendritic cells, macrophages, T cells, B cells and etc). Where existing computational methods are not adequate to handle the data, the candidate will have the opportunity to develop novel methods under the PI¡¯s supervision and with help from other lab members. The lab is currently focusing on developing Single-Cell Big Data & Artificial Intelligence framework and several AI analytical tools under development are to be released in near future. The candidate will have the opportunity to work in a collaborative environment, interact with excellent scientists from multiple disciplines, and grow rapidly in both biological and computational knowledge and skills. The position will have the opportunity to publish first-authored and co-authored papers in high-impact journals and international conferences, as well as patent publication and potential commercialization of the tools to be developed. In addition, the candidate will have the opportunity to work with MNC pharmaceutical companies via industrial collaborations.
Job Requirements
•        PhD in any of computational biology, bioinformatics, biostatistics, computer science/engineering, mathematics or related fields
•        Programming skills using any of R/python/perl/shell script/C++/Matlab/Java or similar
•        Experience in analysis of NGS, or single-cell RNA-seq data (preferred)
•        Machine learning and AI background (optional)
•        Data management, database design and implementation (optional)
Other Requirements (e.g. Skills, Competencies)
•        Self-motivated with internal drive
•        Able to work under supervision and autonomously/independently
•        Good team player, with good interpersonal skills
•        Interest or background in biology or willing to learn
•        Good work ethics and attitude

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