Job Description
A research assistant position is available in the Saw Swee Hock School of Public Health to support the Principal Investigators in research projects in the areas of statistical genetics and multi-omics.
The group focuses on epidemiology of common human diseases and complex traits. The position emphasize on analyses of longitudinal epidemiological data and high-dimensional data derived from high-throughput technologies such as genome-wide genotyping/sequencing, methylation, metabolomics, proteomics to understand the pathogenesis of one or more of these diseases.
One of the primary projects is the Diabetes Study in Nephropathy And other Microvascular Complications (DYNAMO). DYNAMO aims to determine the genes and processes involved in the development of diabetic kidney disease, to identify them for earlier intervention. We have measured genomics, lipidomics and proteomics across diabetic samples in the community and hospitals. Outcomes and phenotypic traits are to be analysed with the multi-omics data to derive insights on the pathways to developing diabetes complications.
Major duties and responsibility of the post includes managing, extracting, analysing data from omics datasets. In addition, candidate is required to do report writing, presentations, and publication of results and findings in peer-reviewed journals. Furthermore, he/she will need to contribute to development and writing of research grant proposals.
Qualifications
Candidate must be an independent mature worker who is well-organized and has an eye for details. Candidate must possess excellent written and verbal communication skills. He/she must possess the ability to work effectively with colleagues to achieve team goals.
Good proficiency in the following areas is essential:
1. Statistical software (R)
2. File management and data analysis in the Unix/Linux environment
3. Perl or Python
4. Microsoft Office Applications, particularly MS Word, PowerPoint, Excel (preferably with proficiency in Visual Basic)
The successful applicant is expected to possess at least a Bachelor’s degree in genetics, statistics, computational biology, bioinformatics, computer science or mathematics. Relevant experience in data analyses will be considered.
More Information
Location: Kent Ridge Campus
Organization: National University of Singapore
Department : Saw Swee Hock School of Public Health
Job requisition ID : 12565
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