Job Title
Research Assistant – Bioinformatics Database Developer
Research Group
Onco-Proteomics Centre, Department of Biological Sciences, National University of Singapore
Job Description
The post is aimed at developing the existing SPLASH database system to incorporate novel research tools and to implement new computational statistics methods for exploiting the large genomics and proteomics datasets that are arising in cancer biomarker research, involving different data mining approaches (artificial intelligence application and multi-variant analyses etc.) and the heterogeneous data integration and analysis.
You will work with another computational statistician\mathematician to implement the algorithms, under the supervision of Professor Hew Choy Leong, Professor Maxey Chung and Dr. Lin Qingsong of the Onco-Proteomics Centre in DBS. Further details of this project are on
http://oncoproteomics.nus.edu.sg/splash.
Requirements
The ideal applicant should hold at least a good Honours degree or Masters degree in computer sciences or related fields (such as bioinformatics) with application development and maintenance experience. Life science graduates with computing skills are also welcome to apply.
- Strong knowledge in database, MySQL
- Well versed in Java, Perl, XML, XSL
- Familiar with open-source platforms such as Apache, Tomcat, Cocoon, Bioperl
- Being able to maintain Linux servers
- Self-motivated with the initiative to work independently
- Knowledge in proteomics would be an advantage
Remuneration & Benefits
Salary is between S$30,000-58,200, inclusive of staff benefits, based on qualifications and relevant research experience.
Term of Appointment
This appointment is for two years, starting October 2005 (later by agreement) and is extendable.
Contact Person
Please send your CV, names and addresses of two referees, and other supporting documents to Professor Maxey Chung at the Department of Biochemistry. (
[email protected])
Important Dates
Closing date: Friday, Sep 30, 2005
Valuing diversity and committed to equality of opportunity