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Research Officer, Bioinformatics (Centre for Molecular Oncology)

Apply now Job no: 523596
Work type: full time
Location: Sydney, NSW
Categories: Research Administration support, Clinical/Medical Research

Research Officer, Bioinformatics (Centre for Molecular Oncology)

  • Employment Type: Full - time (35 hours a week)
  • Duration: Fixed Term contract until 31st December 2025
  • Remuneration: $106K - $115K base (+ 17% Super, leave loading)
  • Work rights required: Full time Australian work rights for the duration of the contract.
  • Location: Kensington, Sydney

The Organisation

The Centre for Molecular Oncology is a new research centre established within the School of Biomedical Sciences at UNSW which is dedicated to advancing the understanding and treatment of cancer. The Centre applies basic, translational and clinical approaches to understanding cancer biology through patient-centred discovery programs and uses this information to improve patient outcomes through clinical trials. 

Why this role matters  

This role will play a key role in the research group to understand the molecular underpinnings of inherited sarcoma susceptibility. A large collection of germline whole genomes and healthy controls have been developed by the lab. Using this unique dataset, the Research Officer will lead and contribute bioinformatics and statistical analysis with a primary focus on statistical fine-mapping and functional bioinformatics to discover novel genetic variants.

Some skills required:

  • A degree in Bioinformatics, Computational Biology, Computer Science or engineering.
  • Highly developed and a minimum of five years of experience in the analysis of population-scale whole genome/transcriptomics datasets using open-source libraries such as GATK and Hail.
  • Experience in statistical analysis of population genomics in human disease including common and rare variants.
  • A Strong publication record and track record in managing multiple internal and external collaborations.
  • Demonstrated experience and understanding in Fastq processing, quality controls and joint-calling of the BAM files.
  • Strong skills in Linux command line and scripting languages (Python, Bash, R or other)
  • Demonstrated experience in the development and implementation of new and cutting-edge bioinformatics tools and pipelines.
  • Experience with source code management tools (git preferred).
  • Experience in deploying and running pipelines using high performance computers (HPC) and job schedulers (e.g. PBS pro or SGE).
  • Experience in containerisation using Docker and/or Singularity.

Please refer to the position description for full details.

UNSW Benefits and Culture: 

UNSW offer a competitive salary and access to a plethora of UNSW-perks including:​ 

  • 17% Superannuation and leave loading​ 
  • Flexible working ​ 
  • Additional 3 days of leave over the Christmas Period​ 
  • Access to lifelong learning and career development ​ 
  • Progressive HR practices​ 

More information on the great staff benefits and culture can be found here.  

How to apply:

Please click on Apply now to apply online. Applications should not be sent to the contact listed below. Please provide a resume and a cover letter briefly addressing the criteria listed in the position description.

A copy of the Position Description can be found on JOBS@UNSW.

Contact (role related questions only)

Merita O'Connell – Talent Acquisition Consultant 


Applications close:  Tuesday 30th April 2024 before 11.30pm

UNSW is committed to equity diversity and inclusion. Applications from women, people of culturally and linguistically diverse backgrounds, those living with disabilities, members of the LGBTIQ+ community; and people of Aboriginal and Torres Strait Islander descent, are encouraged. UNSW provides workplace adjustments for people with disability, and access to flexible work options for eligible staff.

The University reserves the right not to proceed with any appointment.

Position Description

Advertised: AUS Eastern Daylight Time
Applications close: AUS Eastern Standard Time

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