NATIONAL UNIVERSITY OF SINGAPORE

Research Fellow, Research

Location
Singapore
Posted
12 Jan 2021
End of advertisement period
12 Feb 2021
Ref
3559744
Academic Discipline
Life sciences, Biological Sciences
Contract Type
Permanent
Hours
Full Time

Job Description

Biomedical research is exploding with data. The Chew Lab (https://www.csi.nus.edu.sg/web/chew-guo-liang/) at the Cancer Science Institute of Singapore (CSI) at the National University of Singapore seeks to make sense of these data, using it to understand fundamental molecular mechanisms underlying human disease so that we may design better treatments.

For examples of the work we do, see:
Chew, Campbell et al. DUX4 suppresses MHC Class I to promote cancer immune evasion and resistance to checkpoint blockade. Dev Cell 2019. https://doi.org/10.1016/j.devcel.2019.06.011
Inoue, Chew et al. Spliceosomal disruption of the non-canonical BAF complex in cancer. Nature 2019. https://doi.org/10.1038/s41586-019-1646-9

Our interests will evolve over time. We are currently focused in the interactions between cancer and the immune system, and how these interactions may be mediated by the aberrant gene expression.

We are looking for a full-time bioinformatics data scientist to join us.

In this position, you will:

  • Integrate high-throughput data (e.g. proteomics, RNA-seq) from hundreds to thousands of patients
  • Derive experimentally-testable hypotheses, molecular insight from integrated analyses of high-throughput patient and experimental data
  • Communicate findings to clinical and experimental collaborators
  • Contribute to scientific discussions within the lab, at CSI and in the greater community
  • With guidance/coaching, develop yourself personally and professionally for a long term career in biomedical research

You would need:

  • A PhD in a relevant field (e.g. cancer biology, bioinformatics, molecular biology)
  • Prior experience applying bioinformatics to your own research
  • Working proficiency in R, Python or similar programming languages (we primarily use R)
  • Working knowledge of statistics as applied in a biomedical research setting
  • A broad interest in many aspects of biology

It would be great if you also had some familiarity with tidy data, Bioconductor, version control, workflow management software and working on servers/clusters/cloud.

We are particularly interested in hybrid wet/dry-lab molecular biologists seeking to make a full-time transition to computational biology.

If you are interested, please include a detailed CV and contact information of at least two referees (including that of your current / most recent position). Please also provide a description of your research interests, including how your own experience would augment/complement our ongoing work. We will only contact candidates who are shortlisted.

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