Position Number: 0064027
Location: Parkville
Role type: Full-time; Fixed-term for 2 years
Faculty: Faculty of Science
Department/School: School of Mathematics and Statistics
Salary: Level A.6 – $105,518 p.a. plus 17% super
- Develop advanced statistical methods for integrating omics data to enhance biological understanding.
- Collaborate with top experts across statistics, computational biology, and biology to drive interdisciplinary research and career growth.
- Salary packaging, subsidised health and wellbeing services, fitness and cultural clubs, Myki discounts, and a 25% discount on graduate courses to our staff and their immediate families!
About the Role
Join the School for Mathematics and Statistics and Melbourne Integrative Genomics in a dynamic role as a Research Fellow, focusing on pioneering statistical method development for omics data integration.
The role, under the guidance of Prof Kim-Anh Lê Cao at the forefront of computational methods for high-throughput biological data (https://lecao-lab.science.unimelb.edu.au), involves combining statistical modelling, advanced computational techniques, and omics data integration to gain comprehensive insights into biological systems in health and disease.
You will innovate new computational and statistical methods, fostering campus-wide collaborations.
This is a rare opportunity to thrive in a collaborative environment alongside statisticians, bioinformaticians, and biologists.
The role also includes teaching one subject per year aligned with your expertise and strong support for developing your research career path and directions.
Your responsibilities will include:
- Contribute towards the research effort of the team and to develop your research expertise with an increasing degree of autonomy.
- Under the guidance and support of Senior Academic staff conduct internationally competitive research, resulting in publications in high impact journals.
- Contribute to and publish academic papers and other scholarly outputs to a high academic standard in accordance with the research expectations of the University of Melbourne
- Actively participate in research seminars and conferences to disseminate research findings as opportunities arise.
- Contribute to the preparation, or where appropriate individual preparation of research proposal submissions to internal or external funding bodies as relevant.
Who We Are Looking For
You will have a strong research track record in statistical applications within the life sciences, complemented by a history of impactful publications. We value your ability to forge research partnerships nationally and internationally. Additionally, we seek someone passionate about teaching postgraduate courses in statistics, statistical genomics, biostatistics, bioinformatics, or computational biology.
You will also have:
- A PhD or equivalent research higher degree in statistics, or interdisciplinary computational statistics research in genomics or a related area.
- Strong computer programming skills in R and experience in software development.
- Experience in multivariate statistical analysis.
- Knowledge of mammalian molecular biology and genomics
For further information regarding responsibilities and requirements, please refer to the attached PD.
This role requires that the successful candidate must undergo and maintain an up-to-date Working with Children Check. This is essential to guarantee a secure environment for all individuals at the University. 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.
Your New Team – “Melbourne Integrative Genomics (MIG)"
https://sites.research.unimelb.edu.au/integrative-genomics
Melbourne Integrative Genomics (MIG) is a cross-disciplinary initiative at the interface between biology, mathematics and statistics at the University of Melbourne.
MIG is a leading institution where we use innovative mathematical and computational approaches to answer pressing questions in biology and biomedicine. MIG, which was founded in 2017, fosters a vibrant environment for collaborative research and education.
https://research.unimelb.edu.au/integrative-genomics
Le Cao lab is part of Melbourne Integrative Genomics (MIG), which has been established in 2017 and is an initiative to strengthen the involvement of statisticians in the advances being made in genomics and computational biology. MIG is an interdisciplinary research centre for the application of maths/stats/computing techniques to genomic profiling data to help understand genotype-to-phenotype process in humans and other organisms.
What We Offer You!
In addition, we offer the opportunity to be part of a vibrant community and enjoy a range of benefits, including generous leave provisions, salary packaging, health and well-being services and discounts on graduate courses. For more information, check out our benefits page!
About the University of Melbourne
We’re tightly connected with the community, both at home and abroad. 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.
Be Yourself
The University of Melbourne values the unique backgrounds, experiences and contributions that each person brings to our community and welcomes and celebrates diversity. First Nations people, those identifying as LGBTQIA+, parents, carers, people of all ages, abilities and genders, and people of diverse ethnicity, nationality and faith are encouraged to apply. Our aim is to create a workforce that reflects the diversity of the community in which we live. For more information please visit our Diversity and Inclusion page.
We are dedicated to ensuring barrier free and inclusive practices to recruit the most talented candidates. If you require reasonable adjustments, please contact the employee listed on the first page of the Position Description found below, with an email containing your name and contact details for a confidential discussion. Please ensure your email is titled "Reasonable Adjustments Request".
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
Join Us!
If you feel this role is right for you, please apply with the following documents:
- Resume
- Cover Letter outlining your interest, experience and the responses against the five following Selection Criteria (max 2 pages):
- Experience in developing computational and statistical methods for omics data integration
- Experience in analysing omics data, either in a collaborative multi-disciplinary context or for methodological development purposes
- Experience in developing R packages
- Experience in mentoring students
- Experience in teaching
- Project proposal (max 1 page) outlining the description of a potential project, including relevant literature, and a statement of feasibility and capability to drive the project to completion. We will try to align as best as possible the candidate’s interests with the research conducted in Lê Cao lab.
Please note that applications without a cover letter addressing the selection criteria and the project proposal will not be reviewed.
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
