Position Number: 0062661
Location: Parkville
Role type: Full-time; Fixed-term for 2 years
Faculty: Science
School: Mathematics and Statistics
Salary: Level A - $83,468 – $113,262 p.a. plus 17% super (PhD entry level $105,518 p.a.)
- Join a collaborative and cutting-edge research environment working with world-class researchers.
- Apply statistics, bioinformatics, and machine learning methods to analyse complex and large-scale biological data.
- Investing in you - benefits package including salary packaging, health and wellbeing programs, discounted services, and professional development opportunities.
The University of Melbourne
We take pride in our people, who all contribute to our mission to benefit society through the transformative impact of education and research. Discover more via our website and stay connected with our stories and people on LinkedIn.
Your next career opportunity
We are seeking a highly motivated Postdoctoral Fellow to join the Australian Research Council Centre of Excellence for the Mathematical Analysis of Cellular Systems (MACSYS) and Melbourne Integrative Genomics (MIG). You will work under the supervision of Dr Heejung Shim, whose group focuses on developing innovative computational methods for biological data.
In this interdisciplinary role, you will contribute to cutting-edge research at the interface of mathematics, statistics, bioinformatics, and biology. Your work will involve developing and applying statistical, bioinformatics, and machine learning methods to analyse complex, large-scale biological datasets.
MACSYS is the largest dedicated research initiative in mathematical biology, bringing together mathematical, computational, and biological scientists to make biology predictive; establish mathematical whole cell models (WCMs) for in silico biology as a powerful complement to traditional in vivo and in vitro approaches; tackle fundamental biological problems; and establish a world-leading research and biotechnology translation environment.
MIG is an interdisciplinary research centre to strengthen the involvement of statisticians, mathematicians, and bioinformaticians in advances in genomics and computational biology.
This position offers the opportunity to be part of a dynamic and inclusive research environment committed to excellence, innovation, and collaboration across disciplines.
In this role, you will be required to:
- You are expected to significantly contribute towards the research effort of the team and to develop your research expertise with an increasing degree of autonomy
- Develop and apply advanced data analysis and computational techniques to extract valuable insights and patterns from large-scale biological datasets
- Collaborate with interdisciplinary teams to exchange ideas and leverage complementary expertise in biology, statistics, mathematics, and computational science
- Maintain clear and comprehensive documentation of all methods, data analyses, and findings for future reference and knowledge sharing
You may be a great fit if:
We are looking for an early career academic with a strong foundation in statistics, data science or a related discipline, combined with advanced computational skills. With a growing publication track record and a clear ambition to build a research career, you are confident preparing high-quality research outputs and engaging with collaborators across academia and industry.
You may also:
- Completion (or near completion) of a PhD in statistics, data science, computational biology, or a related discipline
- Strong background in statistics, data science, AI/ML, or bioinformatics
- Strong computational skills
- Experience in biological data science, including the application of quantitative methods to biological data analysis
- A demonstrated aptitude for research, with a sound publication record in relevant areas, commensurate with experience and opportunities
- Demonstrated ability to prepare research reports and manuscripts for publication
- Strong evidence of ability and desire to build an academic research career trajectory
- Demonstrated ability to engage with relevant professional and industry bodies and stakeholders to foster collaborative partnerships
For further information please refer to the attached PD.
What we offer you!
We offer the opportunity to be part of a vibrant community and enjoy a comprehensive range of benefits to support your success and sense of fulfillment, including:
- Supportive flexible work arrangements underpinned by our commitment to inclusion and well-being
- Progressive, considerate leave provisions to empower your work-life balance
- Salary packaging and access to a range of discounted services including Bupa health insurance
- Health and well-being services including a leading Employee Assistance Program
- Comprehensive career development and training, plus a 25% discount on UniMelb graduate courses for your immediate family members!
For more information check out our benefits page!
Your new team – School of Mathematics and Statistics
The University of Melbourne's School of Mathematics and Statistics is one of Australia's leading mathematics and statistics schools. It has achieved this status through the high quality of its research and teaching programs. The School offers a wide range of subjects to undergraduate and postgraduate students and is involved in aspects of community life that impact on the interests of the School and the discipline. The school currently hosts two ARC Centres of Excellence, and has hosted four ARC Laureate Fellows, ten ARC Future Fellows and fourteen DECRA Fellows.
Be Yourself
The University of Melbourne is an Equal Opportunity Employer and a child-safe organisation. We are committed to creating an inclusive and equitable workplace where all individuals feel valued, respected, and have the opportunity to thrive regardless of gender identity, ethnicity, sexual orientation, disability, age, being a parent or having caring responsibilities.
The University of Melbourne is committed to fostering a barrier-free and inclusive recruitment process. We are dedicated to providing reasonable adjustments for candidates throughout the application and interview stages, including accessible document formats and alternative application methods. To discuss your specific requirements, please feel free to contact Kim Groizard +61 3 9035 3218 or send an email titled 'Reasonable Adjustments' to hr-careers@unimelb.edu.au. You can find more information for applicants requiring reasonable adjustments on our Careers website: https://about.unimelb.edu.au/careers
Aboriginal and Torres Strait Islander Applicants
We aspire to be the University of choice for Indigenous Australians, with unprecedented investment to attract, nurture and retain Aboriginal and Torres Strait Islander students and staff. Tangible support through a range of programs and initiatives will ensure that you personally succeed and flourish while at the University of Melbourne.
For further information, including our 2023-2027 Indigenous strategy please visit -https://about.unimelb.edu.au/reconciliation/murmuk-djerring
If you are a member of an Aboriginal and/or Torres Strait Islander community and would like any support, please feel free to contact our Indigenous Employment & Development team via email at oied-hr@unimelb.edu.au.
Working at the University – what you need to know
This role requires the successful candidate to maintain a Working with Children Check The successful candidate can apply for the WWCC as part of the onboarding process. In the case the selected candidate doesn't have a valid Working with Children Check, they will be able to apply for the WWCC as part of the initial onboarding procedures.
Please note: Visa sponsorship is available for this position.
Join Us and unlock your career potential!
Is this the perfect opportunity for you? Apply today! Including the following documents:
- Resume
- Cover Letter outlining your interest and experience
- The responses against the Selection Criteria^ (found in the Position Description)
^For information to help you with compiling short statements to answer the selection criteria and competencies, please go to http://about.unimelb.edu.au/careers/selection-criteria
If you have any questions regarding the recruitment process, please feel free to contact Anna Gradoboeva via email at hr-careers@unimelb.edu.au, ensuring that you include the Position Number and the Job Title as the subject. Please do not share your application to this email address.
If you have any particular questions regarding the job please follow the details listed on the Position Description.
Position Description
