Research Fellow

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Job Description
We are pleased to invite applications for the position of Senior Research Fellow / Research Fellow as part of a multidisciplinary research programme funded by the National Research Foundation (NRF) and the Singapore Food Agency (SFA), and administered by the Singapore-HUJ Alliance for Research and Enterprise (SHARE)
This collaborative initiative brings together leading Principal Investigators (PIs) from the National University of Singapore (NUS), The Hebrew University of Jerusalem (HUJ), A*STAR, Republic Polytechnic (RP), and Nanyang Technological University (NTU)
The successful candidate will support the PIs in the implementation and execution of research activities aligned with the programme's objectives. Appointees may be based either full-time or on a rotational basis at one of the local partner institutions, including NUS, A*STAR, RP, NTU, Singapore Aquaculture Technologies Pte Ltd (SAT), the St John's Island National Marine Laboratory (SJINML), or the Marine Aquaculture Centre (MAC) on St John's Island. The programme also involves active collaboration with local aquaculture industry partners
We are seeking highly motivated, qualified, and enthusiastic individuals who are passionate about contributing to impactful research in the field of aquaculture, bioinformatics and related life sciences
Job Description:
A/Prof.s Ajay Mathuru and Yih-Cherng Liou (NUS), along with Dr. Caroline Wee (IMCB, A*STAR) are looking for a bioinformatician or data scientist to contribute towards a multi-omics integration effort of transcriptomics, metagenomics, proteomics, and metabolomics data in a new project investigating Aquaculture solutions. The overall goal of this project is to use a multi-omics approach, combined with gut microbiome studies and multi-modal characterization of neurobiology of stress response and resilience to stressors in fish. The aim will be to integrate technology to develop the knowledge base for understanding stress resilience behaviours in Asian Seabass in farm conditions using laboratory model zebrafish and controlled lab studies on early-stage Seabass. The candidate will work with a dynamic team spanning basic biologists, neuroscientists, bioinformaticians, and aquaculture specialists to develop novel multi-omics data integration strategies with significant impact.
Duties & Responsibilities
• Lead and supervise research projects in fish "omics" analyses, behavioral analytics, stress resilience studies.
• Plan and execute experiments; analyse and interpret research findings and large-scale biological data (e.g., genomic, transcriptomic, microbiome) and familiarity with following analyses - sc transcriptomics, proteomics, metabolomics.
• Guide junior researchers and team members through training, and oversee the achievement of project KPIs and research deliverables.
• Publish high-impact research articles aligned with project or grant objectives.
• Coordinate and collaborate with external and local institutional partners to develop and execute project strategies. Expertise in microbiome research or in handling different types of omics data preferred.
• Creative problem solving and critical thinking to explore and manage large datasets.
• Perform bioinformatics analyses using appropriate tools and pipelines; develop and optimize workflows for omics data interpretation.
• Develop and maintain GitHub repositories and user-friendly scripts for data visualization by other researchers.
• Handle project documentation, progress reporting, budgeting, and procurement (including liaising with vendors and managing equipment and supplies).
• Monitor project milestones and ensure timely execution of research activities.
• Perform additional duties as required by the project leader or co-leads.
Qualifications
• PhD (or Master's with strong relevant experience) in Bioinformatics or a related discipline (Neurobiology, Computer Science, Statistics, Epidemiology, Systems Biology, Computational Biology).
• Proven research track record with publications or preprints in relevant domains. Prior demonstrable experience in at least one or more of the following analyses - sc transcriptomics, proteomics, metabolomics.
• Strong bioinformatics background and / or familiar with software programming, data analysis and statistics. Demonstrable works, such as a GitHub Profile with history of project works, for example of previous publications where the candidate performed such work.
• Generate user friendly scripts in R, and Python for data visualization and analysis that can be used by other team members.
• Creative problem solver with critical thinking skills and the ability to manage, explore and interpret complex biological datasets. Expertise in microbiome research or in handling different types of omics data preferred.
• Proficient in laboratory techniques, documentation, and research data management.
• Proficient in other IT tools, including statistical software and bioinformatics platforms.
• Excellent communication and interpersonal skills with a collaborative mindset.
• Able to work independently, and also effectively with a team, and enjoys collaboration.
• Strong planning, organizational, and multitasking abilities; detail-oriented and responsible.
• Willingness to be based at or rotate between partner institutions as needed.
• Contract-based employment.

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