Research Associate - Behavioural Neuroscience and Molecular Biology
About the role
- $113k - $121k plus 17% Superannuation and annual leave loading
- Fixed Term – 2.5 years (to 31 December 2028)
- Full time (35 hours)
The role reports to Associate Professor Kelly Clemens and has no direct reports.
Specific responsibilities for this role include:
- Engage in individual and/or collaborative research in a manner consistent with the objectives of the ARC grant.
- Create scholarly impact in the discipline which is recognised by peers in the advancement of disciplinary knowledge.
- Conduct the research project under limited supervision, both independently or as a member of a team.
- Contribute to the development of applications for competitive funding under the guidance of senior colleagues.
- Mentor and guide students and colleagues and develop the next generation of academics through involvement in supervision of HDRs.
- Conduct advanced data analyses using appropriate tools and methodologies.
- Draft high-quality manuscripts for peer reviewed journals.
- Present findings at national and international conferences.
- Align with and actively demonstrate the Code of Conduct and Values.
- 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)
- A PhD in Molecular Neuroscience, Molecular Biology, or a related discipline (required).
- Demonstrated experience in, behavioural neuroscience techniques and automated/semi-automated machine learning analyses of rodent behavioural data (e.g., DeepLabCut, SimBA).
- Demonstrated experience in molecular biology and imaging techniques: core molecular biology approaches (e.g. DNA/RNA/Protein extractions, qPCR, Western Blotting, RNA-sequencing, Mass-Spec); In vivo and in vitro RNA knockdown techniques (e.g., CRISPRi, CRISPR/Cas13, ASOs, siRNAs); advanced molecular imaging (e.g. RNAScope, MERSCOPE).
- Excellent data management skills, with demonstrated experience in bioinformatics and/or advanced statistical analyses (e.g. Python/R, Linux environment).
- Evidence of capacity to problem-solve and troubleshoot independently, with a solutions-focused approach to research processes and procedures.
- Proven commitment to proactively keeping up to date with discipline knowledge and developments.
- High level communication skills and ability to network effectively and interact with a diverse range of students and staff.
- Demonstrated ability to work in a team, collaborate across disciplines and build effective relationships.
- Evidence of highly developed interpersonal and organisational skills.
- 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.
You should systematically address the selection criteria listed within the position description in your application.
Please apply online - applications will not be accepted if sent to the contact listed.
Contact:Kelly Clemens E: k.clemens@unsw.edu.au
Applications close: May 3rd, 2026
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