• Contribute to cutting-edge research and development in computational structural biology
• Enjoy a supportive and dynamic work environment
• 2.5-year fixed term contract | $123,620 - $145,730 + 17% super + leave loading

The opportunity

Join the dynamic team at the Mark Wainwright Analytical Centre’s Structural Biology Facility (SBF) at UNSW. We are collaborating with Australian BioCommons to provide best-practice tools and methods for the molecular life sciences community. This role offers a unique opportunity to work at the intersection of computational biology, structural biology, and high-performance computing.

Reports to the Chief Scientist of the Structural Biology Facility UNSW, you will support our collaboration with Australian BioCommons, and focus on developing research infrastructure capabilities, particularly in delivering computational structural biology tools at both institutional and national levels. This role acts as an intermediary between end-users, HPC infrastructure, and the broader national network of computational and informatics experts. Key responsibilities include:

• Assess and deploy computational structural biology software tools and workflows across various compute infrastructure platforms.
• Provide direct support and guidance to researchers in applying computational structural biology methods, with a focus on deep learning/machine learning packages.
• Collaborate with local and national networks to identify requirements, propose recommendations, and develop approaches to resolve computational challenges.
• Lead and support the use of computational tools and best practices through training sessions, practical assistance, and developing documentation.
• Report progress with accountability and transparency to the SBF’s Chief Scientist and BioCommons A/Director of Platforms.

The Organisation

The Structural Biology Facility (SBF) at UNSW is a cutting-edge research hub for supporting users in structural biology and biophysics. We offer specialised instruments like high-throughput crystallization systems and an advanced x-ray diffractometer. Recently, we’ve expanded to include high-performance computing (HPC) resources, and a team dedicated to integrating AI and deep learning into biomolecular research, ensuring our researchers have the tools and support they need to push the boundaries of science.

UNSW isn’t like other places you’ve worked. Yes, we’re a large organisation with a diverse and talented community; a community doing extraordinary things. But what makes us different isn’t only what we do, it’s how we do it. Together, we are driven to be thoughtful, practical, and purposeful in all we do. Taking this combined approach is what makes our work matter. It’s the reason we’re Australia’s number one university for impact and among the nation’s Top 20 employers.

Who you are

You have a PhD in a relevant field or equivalent experience in computational structural biology, with expertise in deploying and validating biomolecular modeling techniques such as CryoEM, crystallography, or AlphaFold and can demonstrate the following skills and experience: -

• AI and ML code packages in a Linux/HPC environment, with proficiency in using, installing, and troubleshooting computational tools and software (e.g., git).

• A track record of supporting research groups through documentation, training, and collaborative problem-solving in computational biology.

 • Excellent communication skills with a high level of attention to detail and the ability to interact effectively across a diverse range of stakeholders, students, and colleagues.

 • Ability to work independently, manage competing demands, and deliver high-quality results.

 • Commitment to UNSW’s aims and values and knowledge of health and safety responsibilities

To Apply: If developing computational structural biology tools at both institutional and national levels is of interest to you, please submit your CV, Cover Letter and responses to Skills and Experience required via the APPLY button.

Applications close: 11.55pm, Wednesday 4^th December 2024

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.

support the collaboration between MWAC’s Structural Biology Facility and Australian BioCommons as part of their national strategy to provide best-practice tools and methods for the molecular life sciences community. The position is focused on developing research infrastructure capabilities, with a particular emphasis on delivering computational structural biology tools within UNSW and at a national level . The role has been agreed to be funded for 2.5 years (external funding received for this period).