{"id":1252581,"url":"https://alion.io/job/astar-scientist-postdoctoral-fellow-computational-methods-for-long-read-rna-seq-data-gis","title":"Scientist (Postdoctoral Fellow: Computational Methods for Long Read RNA-Seq data), GIS","company":{"id":50235,"name":"Agency for Science, Technology and Research","domain":"a-star.edu.sg","url":"https://alion.io/company/a-star-edu","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":{"grade":"B","score":81,"open_postings":48,"ghost_share":0,"stale_share":0.979,"repost_share":0,"time_to_fill_p50_days":21,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Science & Research","role_family":"Science & Research","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"GitHub","optional":false},{"name":"Machine Learning","optional":false}],"status":"live","first_seen_at":"2026-09-25T18:36:43Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-10-30T01:56:32Z","board_verified":true,"closed_at":null,"days_open":34,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":34},"description":"Description\nScientist (Postdoctoral Fellow: Computational Methods for Long Read RNA-Seq data)\nThe lab of Computational Transcriptomics at the Genome Institute of Singapore, A*STAR (led by Dr Jonathan Göke) is offering a position for a postdoctoral fellow to develop computational methods for population-scale long read RNA-Seq data. Areas of interest include the identification of RNA modifications from direct RNA-Seq data, the analysis of transcript expression, alternative promoters and alternative transcription start sites from single cell and spatial long read RNA-Seq data, genome annotation for the Asian Reference Genome Project, and identifying transcriptional mechanisms for rare diseases. The position will be in close collaboration with experimental and clinical collaborators, industry partners, and will provide resources for large-scale data generation and full access to the latest long read sequencing technologies.\nThe candidate will join an experienced team with expertise in methods development for long read RNA-Seq data (e.g. Bambu, Nature Methods (2023), m6Anet, Nature Methods (2022) and xPore, Nature Biotechnology (2021)), large scale transcriptomics data generation (e.g. the SG-NEx project, Nature Methods (2025)), genome assembly (I002C, Sarashetti et al, biorxiv (2025)) and the analysis of large-scale transcriptomics data (e.g. Demircioglu et al, Cell (2019)). More information about the lab can be found online: https://www.jglab.org/ and www.github.com/goekelab\nRequirements:\nPhD in Bioinformatics, Computer Science, Statistics, Genomics, or a related discipline\nGood programming skills, experience with coding agents, and strong interest in methods development\nExperience in one or more of the following areas: algorithms development, transcriptome analysis, RNA modifications, statistics, machine learning, long read RNA-Sequencing, direct RNA-Sequencing\nPublication record with a first author publication (pre-prints are accepted)\nExcellent communication skills\nWe are searching for promising candidates who are great team players and actively seek opportunities to learn new skills. If you are unsure about your eligibility, please feel free to reach out via email.\nBenefits\nThe Genome Institute of Singapore offers a competitive salary and a complete benefits package.\nAbout Singapore and the Genome Institute of Singapore\nSingapore is a city-state with one of the highest standards of living in the world and an international hub for the biomedical sciences. Singapore is a vibrant, tropical city, with rich Asian heritage and modern style of living, an ideal gateway to explore Asia, providing a unique experience and an excellent quality of life.\nThe Genome Institute of Singapore (A*STAR) is the national flagship program for genomic science in Singapore. 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