Postdoctoral Research Fellow

4 days ago

Greater Adelaide SA, Australia The University of Adelaide Full time

**(Level A) $98,574-$105,611 per annum plus 17% superannuation**

**(Level B) $111,031-$131,335 per annum plus 17% superannuation**

**3 years fixed-term contract |Full time**

Be part of the Robinson Research Institute and Faculty of Health and Medical Sciences, and contribute to world-leading research in reproductive biology.

This role will involve developing and implementing computational workflows, performing statistical modelling, and collaborating across disciplines to translate findings into actionable treatments and diagnostic tools.

Applicants must possess strong programming skills (R and/or Python) and a demonstrated ability to publish high-quality research in peer-reviewed journals.

Established in 2008, the Robinson Research Institute is internationally renowned for its pioneering research in reproductive biology and early childhood health that spans four themes: Fertility and Conception, Pregnancy and Birth, Early Origins of Health and Child and Adolescent Health. Its mission is to deliver world-class research that advances knowledge in human reproduction, pregnancy and child health and informs clinical care, policy and practice to improve life-long health for women and children across generations into the future.

The School of Biomedicine was established in 2021 as one of eight schools within the Faculty of Health and Medical Sciences. The School of Biomedicine's research is focused on the key discipline areas of anatomy and pathology, pharmacology, physiology, reproduction and development and epigenetics.

This position offers a unique opportunity to contribute to ground-breaking work in reproductive biology and make a meaningful impact on maternal and infant health.

**Selection Criteria Level A**
- A completed or nearly completed PhD in systems biology, microbiology, bioinformatics, computational biology, reproductive biology, or other related discipline.
- Demonstrated expertise in analysis and statistical modelling of multi-omics data.
- Demonstrated experience in microbiome studies including processing of metataxonomic and metagenomic sequencing data.
- A demonstrated track record of high-quality publications relative to opportunity.
- Excellent verbal and written skills, and strong interpersonal skills with the ability to communicate across disciplines and collaborate with a wide range of professionals in the university, government, industry and research sectors.
- Proficiency in R and/or python or other relevant programming languages
- High level organisational skills, time management, including the ability to prioritise and manage workload and meet competing deadlines.

**Desired Characteristics Level A**
- Experience in working as part of large, dynamic multi-disciplinary teams.
- Experience in reproductive biology and/or women’s health research.
- Evidence of being able to integrate computational and laboratory experimental programs;
- Ability to guide and oversee postgraduate and honours students and supervise research support staff;
- A strong record of research performance, including capacity to identify productive research directions relative to opportunity.

**Selection Criteria Level B**
- A PhD in systems biology, microbiology, bioinformatics, computational biology, reproductive biology, or other related discipline.
- Demonstrated experience and substantial knowledge in the analysis, statistical modelling and integration of multi-omics data, microbiome studies including metataxonomics and metagenomics, and experience in undertaking in vitro and in vivo mechanistic studies
- High level analytical capacity and evidence of growing independence and leadership
- A demonstrated track record of high-quality publications including publications in international peer reviewed journals.
- Excellent verbal and written skills, and strong interpersonal skills with the ability to communicate across disciplines and collaborate with a wide range of professionals in the university, government, industry and research sectors.
- High level organisational skills, time management, including the ability to prioritise and manage workload and meet competing deadlines.
- Proficiency in R and/or python or other relevant programming languages
- Experience in maintaining high levels of data management and security, as well as high quality record keeping to ensure the validity, reliability and reproducibility of data at all times.
- Experience in the supervision of research students, and an ability to guide and oversee postgraduate and honours students and supervise research support staff.

**Desired Characteristics Level B**
- Experience in working as part of large, dynamic multi-disciplinary teams and playing a leadership role to junior staff and students.
- Experience in reproductive biology and/or women’s health research.
- Demonstrable experience and deep knowledge of machine learning/optimisation techniques as well as methods for integration/fusing of microbiome (amplicon and whole genome sequenci

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