Post-Doctoral Fellow in Spatial Omics and Machine Learning

Apply now Job no:521566
Work type:full time
Location:Sydney, NSW
Categories:Post Doctoral Research Associate, Senior Research Associate

• Employment Type: Full Time                              
• Duration: fixed term until 28th February 2027
• Remuneration: Level A $106,337 + 17% superannuation + leave loading
• Location: Kensington campus in NSW (Hybrid Flexible Working)

About UNSW:

UNSW isn’t like other places you’ve worked. We’re a large organisation with a diverse and talented community; a community doing extraordinary things. 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 one of the top 50 universities in the world and a member of Australia’s prestigious Group of Eight. If you want a career where you can thrive, be challenged and do meaningful work, you’re in the right place.

Why Your Role Matters:

We seek a Post-doctoral Fellow (Level A) to develop a spatial omics and pattern recognition pipeline that leverages multiplexed single molecule fluorescence imaging of heart tissues and cells. The objective of the position will include leveraging single molecule statistics, computational modelling and creating machine-learning pipelines to extract multi-molecular spatial patterns of protein expression and organisation in the human heart.

The project connected to this position will generate large volumes of multi-channel super-resolution fluorescence data and will draw observations of protein expression, interaction and heterogeneity through image-based protein counting algorithms. Specific objectives for the advertised position will be to: (1) Creating and testing custom image analysis software for extracting the protein expression patterns (2) develop a bespoke and statistically-appropriate set pf spatial omics analyses, (3) adopt existing/preceding algorithms that characterise multi-scale heterogeneity in protein expression, and (4) Develop a machine-learning-based pipeline for recognising changes in the spatial and omic patterns of protein expression in cardiomyocytes.

You will work with a team of biophysicists, molecular and computational biologists embedded in the EMBL node for single molecule science (https://sms.unsw.edu.au/ ) within the Department of Molecular Medicine of UNSW.

The role of Post-Doctoral Fellow reports to the Associate Professor, Head of Molecular Medicine and has no direct reports. This role can be undertaken flexibly (i.e. hybrid + office based).

Who You Are:

• PhD in computational biology, omics, bioinformatics, or any related biological data science.
• Experience in developing omic data analyses, incorporating statistical, computational simulations, and machine learning for pattern recognition, is essential.
• Experience in biological image analysis, image-based quantification, particularly leveraging localisation microscopy, is highly desirable. Familiarity or experience in using target counting algorithms such as qPAINT and the underlying molecular kinetics underpinning single-molecule imaging is ideal.
• Ability to write, test, and benchmark bespoke software for image analysis and simulation with languages such as (but not limited to) Python, Matlab, and C would suit the role well. Experience in developing graphical user interfaces for such programmes is desirable.
• Evidenced track record in scientific problem-solving, independent working and leading projects towards high quality publications is desirable.
• Strong academic writing and data analysis skills are essential.
• Strong communication skills in presenting scientific findings, leading discussions, and coordinating with team members are essential.

Benefits and Culture:

• Flexible Working Options (work from home, flexible hours etc) 
• Career development opportunities 
• 17% Superannuation contributions and additional leave loading payments 
• Additional 3 days of leave over Christmas period 
• Discounts and entitlements (retail, education, fitness)

For further details on the benefits, please visit https://www.jobs.unsw.edu.au/lifestyle-benefits

How to Apply:

Make each day matter with a meaningful career at UNSW.

Please apply online with your CV and a statement address the selection criteria (these are listed below the Skills and Experience in the Position Description).

Submit your application online before Sunday 14th January 2024 at 11:55pm (Sydney time).

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

This position is open to applicants with Australian working rights.

Get in Touch:

Anabel Wason

Talent Acquisition Consultant

[email protected]

Please apply through the application portal and not via the contact above.

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.

Advertised:11 Dec 2023 AUS Eastern Daylight Time
Applications close:14 Jan 2024 AUS Eastern Daylight Time