26 May 2023
Job Information
- Organisation/Company
NATIONAL UNIVERSITY OF SINGAPORE- Research Field
Biological sciences- Researcher Profile
First Stage Researcher (R1)- Country
Singapore- Application Deadline
24 Jun 2023 - 00:00 (UTC)- Type of Contract
Other- Job Status
Full-time- Is the job funded through the EU Research Framework Programme?
Not funded by an EU programme- Is the Job related to staff position within a Research Infrastructure?
No
Offer Description
Job Description
The mission of Cancer Science Institute (National University of Singapore) is to better understand the causes of human cancer across Asia, and thereby improve its detection, treatment, and prevention. Our outstanding researchers and exceptional facilities create an energetic environment for ground-breaking science and world-class training.
The position of Postdoctoral Fellow with an emphasis on computational cancer genomics is available immediately and will be attached to Dr Jason PITT’s laboratory. This position is for 2 to 3 years with the possibility of extension. More information about his research is available at https://csi.nus.edu.sg/researcher/jason-pitt/
The selected candidate will lead a newly funded project in exploring how germline genetics and cell-of-origin contribute to genomic instability (GI) in cancer and build upon our recently developed computational framework to derive dozens of GI scores and copy number signatures from tens of thousands of malignant samples. Using a multi-omic approach, these scores will be associated with clinical, genomic, and cell-type specific features. Candidate genes/variants will be investigated experimentally using CRISPR-mediated isogenic cell lines.
Join us and be part of our family today!
Interested applicants should include the following documents in the job application
Duties and Responsibilities
- Processing and management of public genomic data (WES, RNAseq, SNP array, etc.)
- Develop methods to estimate CN-based GI scores and signatures
- Use innovative approaches to associate inherited variation with GI patterns
- Determine the relationship between GI patterns and phenotypic features
- Lead manuscript writing and software documentation
Qualifications
- PhD in Human genetics, Genomics, Bioinformatics, or related fields
- Firm understanding of human genetics and association studies
- Experience analysing cancer genomics data
- Strong Python and/or R programming skills
- Penchant for statistical reasoning
- Strong publication record
- Excellent written and spoken English
PREFERENCES
- Familiarity with copy number and mutation signature analysis
- Experience using Amazon Web Services or high-performance computing
- Proficiency with Unix-based systems
- Experience with collaborative software development via github/gitlab
Requirements
Additional Information
Where to apply
- Website
https://www.timeshighereducation.com/unijobs/listing/341210/research-fellow-bio…
STATUS: EXPIRED
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