Scientist (Bioinformatics, Computational Biologist/Post-doctoral Fellow), GIS
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We are seeking a highly motivated Bioinformatics/Computational Biology Post-doctoral fellow to join the data-driven RNA translation biology team at the Genome Institute of Singapore (A*STAR).
Our lab focuses on uncovering overlooked RNA translation events across the genome, with direct applications in human disease - particularly to reveal the hidden proteins in cancer, also known as the dark proteome. Our data-driven platform aims to advance fundamental biology but also holds potential for commercial translation including novel therapeutic targets and biomarkers. The lab is also actively involved in international consortia to annotate translation across the genome, contributing open-access resources to the global scientific community.
This position offers an opportunity to work at the intersection of genomics, data science, and translational medicine. You?ll play a central role in analysing large-scale Ribosome Profiling (Ribo-seq) and RNA-seq datasets, developing novel tools for comparative translatomics, and contributing to impactful publications and clinical research collaborations.
More details on responsibilities
- Lead their own project developing novel methods for comparative translatomics with applications in clinical research
- Analyse sequencing data (Ribo-seq and RNA-seq) and other multi-omics dataset (spatial, single-cell RNA sequencing etc,.) using statistical analysis and machine learning techniques to investigate RNA translation dynamics and regulation.
- Present research findings through reports, presentations, and contributions to scientific publications.
- PhD in Bioinformatics, Computational Biology, Computer Science, Data Science or related field.
- Proficiency in programming languages such as Python, R, C++ and/or others.
- Experience with high-throughput sequencing data analysis, statistical analysis and data visualisation techniques.
- Possess strong interpersonal communications skills and is able to work both independently and collaboratively in an interdisciplinary team and diverse workforce.
- Candidates with previous experience in analysing RNA-seq/Ribo-seq or integrating multi-omics data (spatial transcriptomics/scRNA-seq) will have an advantage.
- Familiarity with machine learning and AI-based approaches is a plus.
- Understanding of basic molecular biology concepts, RNA translation
- Opportunity to drive your own research project in an emerging field with clinical impact.
- Access to state-of-the-art datasets, computing infrastructure , and inter-disciplinary collaborators.
- A supportive, international environment with local and international consortia involvements that fosters career development and scientific visibility .
Singapore is known for its world-class living standards and is a global hub for biomedical research. It offers a unique blend of vibrant Asian culture and contemporary urban living. As a tropical, cosmopolitan city, it provides not only an outstanding quality of life but also a strategic base for exploring the Asia-Pacific region - with easy access to a wide array of countries. The Genome Institute of Singapore (A*STAR) is the national flagship program for genomic science in Singapore. Find out more here: . Apply your computational expertise to large-scale biological data and join us in advancing our vision of transforming fundamental research into real-world biomedical impact. Seniority level
- Seniority level Associate
- Employment type Full-time
- Job function Research, Analyst, and Information Technology
- Industries Research Services
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