Job Description

The successful candidate will work with Profs Greg-Tucker-Kellogg (Biological Sciences) on bioinformatics research to understand the detailed role of non-canonical splicing dysregulation in models of human disease

The main responsibilities of the position include:

• Bioinformatics analysis (in Python, R, and using workflow tools such as Snakemake and Nextflow
• Development and modification of algorithms used for analysis of transcriptome dysregulatio
• Report writing

Qualifications

Bachelor or Masters degree in bioinformatics, biotechnology or equivalen

Skills:

• Demonstrated strong coding skills in Python and R are a must
• Domain-specific experience in analysis of transcriptome dysregulation and disease-associated alternative splicing
• Strong workflow development skills in Snakemake or Nextflow
• Excellent communication in written and spoken English
• Demonstrated success in collaborative, interdisciplinary research.

Experience:

• At least 1 year of practical research experience in a closely related area

More Information

Location: Kent Ridge Campus

Organization: Science

Department : Biological Sciences

Employee Referral Eligible: No

Job requisition ID : 29604

Contact list for further enquiries

Hiring Manager: Greg Tucker-Kellogg

Hiring Manager Email: DBSGTK@nus.edu.sg

HR Partner: Foong Choy Mei

HR Partner Email: CMFOONG@nus.edu.sg