Research Assistant (OR/CCB/EGP)

Job Description

We are seeking a motivated Research Assistant / Senior Research Assistant in Computational Biology to work with a multidisciplinary group of scientists on the discovery of new targets for therapy in Diabetic Nephropathy (DN), a devastating complication of diabetes causing significant morbidity, mortality and human suffering. In Singapore, the incidence of DN as a cause of end-stage kidney disease is among the highest in the world, and identifying new targets for therapeutic development remains an important unmet medical need.

The successful candidate will be part of the NMRC funded project - DYNAMO, and will be based within the Centre for Computational Biology (CCB). CCB provides a nucleus for expertise in computational biology to study key questions in biomedical research.

The selected candidate will perform a variety of research activities within the overall scope of the DYNAMO project under the supervision of Assoc. Prof. Enrico Petretto or his designate, including but not limited to the following: 

• Apply qualitative and quantitative research techniques which include accurate quality control (QC) assessment, in-depth interpretation and data-mining of next generation sequencing data sets, especially WGS datasets and integration with other -omics data (e.g., RNA seq, scRNA-seq etc).
• Communicate scientific information in the form of laboratory notebooks, oral presentations, text, figures, and scientific manuscripts.
• Perform routine duties related to the research study, such as data curation and making data backups, as required.
• Maintain safety protocols, conduct risk assessments, and ensure compliance with safety procedures and laboratory practice agreements.
• Perform other related duties incidental to the work described therein.

Job Requirements

• Bachelor's or Master's Degree in Bioinformatics, Computer Science, Statistics, Biostatistics, Biotechnology, Biology, or related field, with relevant training and experience.
• Familiar with and hands-on experience in handling and manipulation of omics datasets (e.g., WGS, RNA-seq, etc).
• Fluent in the use of the R and Linux/Bash.
• Prior experience and working knowledge of additional computational platforms and applications (e.g. Python, Perl, etc.) is preferred.
• Prior experience with analysing next generation sequencing data, particularly WGS data (e.g., using Genome Analysis Toolkit) is essential.
• Prior experience with data integration using other -omics datasets (e.g., RNA-seq, ChIP-seq, scRNA-seq, etc.) is desirable.
• Proven track record in analysis of genomics data, e.g., in the form of publications, presentations, conference abstracts, etc.
• A strong team player who is able to prioritise, multi-task and work collaboratively in a diverse workforce.

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.