Postdoctoral Fellow - Ramaciotti Centre for Genomics

    Institution Info
    University of New South Wales
    High St, Kensington, Australia
    Phone:
    Web Site: www.unsw.edu.au

    Institution Profile



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Job ID:

44290

Location:

Sydney, NSW 
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Job Views:

87
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Job Description:

  • One of Australia’s leading research & teaching universities
  • Vibrant campus life with a strong sense of community & inclusion
  • Enjoy a career that makes a difference by collaborating & learning from the best

At UNSW, we pride ourselves on being a workplace where the best people come to do their best work.

The Ramaciotti Centre for Genomics is a national infrastructure facility and a leader in the application and development of genomics in Australia. It is the largest genomics facility at any Australian University and is comprehensively equipped with the latest next-generation sequencing (NGS) technology, and with high throughput genotyping systems. The Centre currently analyses over 130,000 samples per annum using a range of techniques, both manually and with robotics.

The Postdoctoral Fellow (Level A) is expected to contribute towards the research effort of UNSW and to develop their research expertise through the pursuit of defined projects relevant to their particular field of research.

The role of Postdoctoral Fellow reports to A/Prof Martin Smith and has no direct reports. The incumbent will lead projects involving Oxford Nanopore single molecule and single cell sequencing data for native RNA, genomic DNA, and their biochemically modified bases, with an emphasis towards developing innovative biotechnological and biomedical applications. The ideal candidate will have demonstrated laboratory and bioinformatics experience with a determination to deliver high-impact outcomes.


About the role

  • $106K - $113K plus 17% superannuation and annual leave loading
  • Fixed Term – 3 years
  • Full-time (35 hours per week)

Specific responsibilities for this role include:

  • Contribute independently or as a team member in collaborative research with a focus to enhance the quality of research outcomes in Genomics & Computational Biology.
  • Conduct research (as per the norms of the discipline) and/or enable research teams to create scholarly output that is recognised by peers.
  • Undertake specific research project/s under the guidance of a research leader and contribute to development of research activities.
  • Support the dissemination of research outcomes through appropriate channels and outlets.
  • Undertake discipline-appropriate research activities, e.g. surveys, literature reviews, data gathering and/or recording of results using appropriate research methods.
  • Participate in and/or present at conferences and/or workshops relevant to the project as required.
  • Assist with the supervision of research students in Genomics & Computational Biology where required.
  • Develop experimental protocols and computational workflows for the exploration of multi-omics data.
  • Identify pathways for the integration of novel genomics applications into the ISO certified laboratory environment of the Ramaciotti Centre for Genomics.
  • Engage and interact with staff and various stakeholders of the Ramaciotti Centre for Genomics and the School of Biotechnology and Biomolecular Sciences.
  • Keep meticulous records of experiments and analyses using best practices for data science.
  • Align with and actively demonstrate the UNSW Values in Action: Our Behaviours and the UNSW Code of Conduct.
  • Cooperate with all health and safety policies and procedures of the university and take all reasonable care to ensure that your actions or omissions do not impact on the health and safety of yourself or others.

About the successful applicant
(Selection Criteria)

To be successful in this role you will have:

  • A PhD in Genomics & Computational Biology or a related field and/or relevant work experience.
  • Experience generating, processing and interrogating genomic, transcriptomic and epigenomic data
  • Experience with Oxford Nanopore Technologies.
  • Experience with computer programming, scripting, workflow managers (e.g. NextFlow, SnakeMake, etc), statistical analysis and data visualization.
  • Familiarity with data science and machine learning.
  • Familiarity with cellular and molecular biology, such as cell culture, nucleic acid extraction, enzymatic ligation, PCR, sequencing library preparation, in vitro transcription, etc.
  • Proven commitment to proactively keeping up to date with discipline knowledge and developments.
  • Demonstrated ability to undertake high quality academic research and conduct independent research with limited supervision.
  • Demonstrated track record of publications and conference presentations relative to opportunity.
  • Demonstrated ability to work in a team, collaborate across disciplines and build effective relationships.
  • Evidence of highly developed interpersonal skills.
  • Demonstrated ability to communicate and interact with a diverse range of stakeholders and students.
  • An understanding of and commitment to UNSW’s aims, objectives and values in action, together with relevant policies and guidelines.
  • Knowledge of health and safety responsibilities and commitment to attending relevant health and safety training.

Ensure you systematically address the selection criteria listed within above in your application.

Please apply online - applications will not be accepted if sent to the contact listed.

Contact:
Martin Smith
E: [email protected]
Applications close: June 18th, 2024


Find out more about working at UNSW at www.unsw.edu.au

UNSW aspires to be the exemplar Australian university and employer of choice for people from diverse backgrounds. UNSW aims to ensure equality in recruitment, development, retention and promotion of staff and that no-one is disadvantaged on the basis of their gender, cultural background, disability, sexual orientation or identity or Indigenous heritage. We encourage everyone who meets the selection criteria to apply.

UNSW partners with Australia’s leading diversity organisations, networks, and campaigns. Please refer to UNSW’s diversity offerings for further information on our flexible work and leave options, and support for carers (childcare, parent rooms, parental leave).

Posted:

21/05/2024

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