Research Assistant (CSCB / LWK)
- Full Time
The SingHealth Duke-NUS Genomic Medicine Centre was established by SingHealth and Duke-NUS Medical School to advance the delivery of genomic medicine across the SingHealth Duke-NUS Academic Medical Centre (AMC). The Centre will bring together expertise from the various SingHealth institutions and Duke-NUS to leverage on advanced genomic technologies to improve diagnostics, therapeutics and health outcomes.
We are seeking a Bioinformatics Research Assistant / Research Associate who will play a key role in developing next-generation clinical-grade workflows for analysing a wide range of genomics datasets from patients with genetic disorders to help identify the underlying causes of their disease. The successful candidate will be part of the bioinformatics team and have frequent interaction with a multi-disciplinary group comprising clinical geneticists, genetic counsellors and biomedical researchers. This role will provide you with a unique opportunity to not only develop your expertise in bioinformatics and data analytics, but also to advance our understanding of genetic disorders and make a difference in how patients with these disorders are managed.
The areas of responsibilities will include but not limited to the following; -
- Perform tasks and support all aspects of the research project.
- Develop, deploy and maintain bioinformatics workflows to process large volumes of genomics data (e.g. targeted sequencing, whole-exome sequencing, whole-genome sequencing).
- Assist in the evaluation and development of tools to handle emerging data types such as long-read sequencing and other ‘-omics’ datasets (e.g. transcriptomics, proteomics, etc.)
- Contribute bioinformatics expertise to researchers within the group and external collaborators.
- Ensure secure storage of the generated genomics data.
- Bachelor’s or Master’s Degree in Computer Science/Biology or other related fields such as Bioinformatics, Statistics, Computational Biology, Genetics, etc. Candidates with higher credentials may be considered for more senior appointments.
- Entry level candidates may also be considered.
- Prior experience with workflow managers such as Nextflow, Snakemake, Cromwell/WDL and their associated languages.
- Possess strong programming skills, especially in Python and R. Experience with tools such as RStudio and Jupyter will be valuable.
- Familiarity with next generation sequencing data analysis (e.g. whole-exome/whole-genome sequencing, RNA-seq, scRNA-seq, MethylSeq etc.).
- A track record of contributing to peer-reviewed publications in relevant areas will be advantageous.
We regret that only shortlisted candidates will be notified.
At NUS, the health and safety of our staff and students are one of our utmost priorities, and COVID-vaccination supports our commitment to ensure the safety of our community and to make NUS as safe and welcoming as possible. Many of our roles require a significant amount of physical interactions with students/staff/public members. Even for job roles that may be performed remotely, there will be instances where on-campus presence is required.
Taking into consideration the health and well-being of our staff and students and to better protect everyone in the campus, applicants are strongly encouraged to have themselves fully COVID-19 vaccinated to secure successful employment with NUS.
Location: Outram Campus
Organization: Duke-NUS Medical School
Department : Office of Research
Employee Referral Eligible: No
Job requisition ID : 12501