Job Description

The Duke-NUS Cancer and Stem Cell Biology (CSCB) Programme studies the causes and treatments of cancer and related diseases. The CSCB research groups have diverse programmes in both basic cancer biology and clinical-translational studies, with a special emphasis on cancers that affect the Asian community in general.

We are seeking for a Computational Biology Research Fellow to help us uncover the genetic basis of cancer biology and pave the way to next-generation molecular diagnostics for early cancer detection. The shortlisted candidate will be part of a bioinformatics team and will play a key role in analyzing genomics data generated from cutting-edge technologies (eg: RNA-seq data, ChIPseq data etc). This role will provide you with unique opportunity to develop your expertise in computational biology and machine learning, while contributing towards developing new bioinformatics pipelines and algorithms through multi-omics data integration.

• Develop, deploy and maintain bioinformatics workflows to process large volumes of heterogenous genomics data (e.g. exome/genome/transcriptome sequencing etc).
• Analyse multi-omics data to obtain insights on the human cancer landscape at various levels ranging from bulk tumors down to tumor associated promoters and identification of transcription factor binding sites.
• Assist in developing machine learning models to 1) predict risk of cancer development and cancer progression and 2) provide personalized, molecularly-driven therapeutic recommendations.
• Provide bioinformatics support to researchers within the group and external collaborators.
• Ensure secure storage of the generated genomics data.

Job Requirements

• PhD Degree in Computer Science/ Biology related field (e.g. Bioinformatics, Computer Science, Statistics, Computational Biology, Genetics, etc.).
• Experience with workflow managers such as Nextflow, Snakemake, Cromwell/WDL and their associated languages.
• Experience with next generation sequencing data analysis (e.g. ChIP-Seq, RNA-seq etc.), especially for human cancers.
• Possesses strong programming skills, especially in Python, CHANCE, MACS2, ROSE and R.
• Experience with tools such as RStudio and Jupyter will be valuable.
• A track record of contributing to peer-reviewed publications in relevant areas will be advantageous.

We regret that only shortlisted candidates will be notified.

Covid-19 Message

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.

More Information

Location: Outram Campus Organization: Duke-NUS Medical School Department : Office of Research Employee Referral Eligible: No Job requisition ID : 16979