NATIONAL UNIVERSITY OF SINGAPORE

Research Fellow, Computational and Statistical Systems Biology Lab

Location
Singapore
Posted
Thursday, 30 September 2021
End of advertisement period
Saturday, 30 October 2021
Ref
4113244
Contract Type
Fixed Term
Hours
Full Time

Job Description

The National University of Singapore invites applications for Research Fellow for “V2P: multi-stage big data approach for proteogenomic analysis”> in Computational & Statistical Systems Biology lab, the Department of Medicine, Yong Loo Lin School of Medicine. Our team develop bioinformatics and statistical tools to analyze high-throughput molecular data sets in the context of molecular biology research and clinical studies.

Purpose of the post

Research fellow position to carry out systems-level association analyses of large-scale genome and exome sequencing data in cancer studies, using the GPD methodology we developed in the lab (doi/10.1002/humu.23979 and doi/10.1101/2021.01.10.426142).

Primary aim is to extend this data analysis framework from exome-only analysis to whole epigenome-level analysis and into the multi-omics analysis for association with other omics data from the same subjects (e.g. transcriptome and proteome).

This is a full-time position of 18 months, renewable subjected to research grants availability.

Main Duties and Responsibilities

The main duties of the research fellow are:

  1. Download, curate, and manage data sets from public data repositories in secure server environment (TCGA, ICGC, and others)
  2. Process raw sequencing data into annotated variant information and mutation calls
  3. Perform statistical association analysis with various clinical endpoints in TCGA
  4. (Optional) develop a new approach to investigate the functional impact of somatic mutations and germline variants onto mRNA and protein-level measurements

We expect an ideal candidate to:

  1. Be fluent with basic and advanced computational tools for processing, storing, and managing next generation sequencing data efficiently
  2. Be proficient in low-level computer languages and linux/unix servers
  3. Have solid background in molecular biology and statistics, especially in high-dimensional data analysis
  4. Preferably have some experience in the analysis of single cell transcriptomics and epigenomics, but not required
  5. Have experience in developing novel data analysis approaches and implementing them into software packages
  6. Have excellent communication skills and demonstrate records of good scientific writing

Qualifications

The applicant should:

  1. Have a PhD in computational biology, bioinformatics, or any related disciplines
  2. Be able to work independently and in a team, have an investigative nature, attention to detail; and
  3. Excellent communication skills and proven record in scientific writing

Remuneration will be commensurate with the candidate’s qualifications and experience.

Only shortlisted candidates will be notified.

More Information

Location: Kent Ridge Campus
Organization: Yong Loo Lin School of Medicine
Department : Medicine
Employee Referral Eligible: No