This is a current listing of job announcements related to Statistics. To submit a job for posting please use the Statistics Job Submission Form. Please note that jobs are posted within 24hrs of submission. If you have any questions, comments, or need to make a correction regarding your job announcement, please contact jobs@stat.ufl.edu.
School of Mathematics and Statistics, University of Melbourne, Australia – Postdoctoral Research Fellow
Company Information: We are recruiting a Postdoc/Research Fellow in statistics, machine learning, or bioinformatics, focusing on developing computational methods for complex and large-scale biological data analysis (e.g., single-cell/spatial multi-omics data analysis) at the University of Melbourne, Australia.
The position offers considerable flexibility in project scope and skillsets, and we encourage applicants with diverse backgrounds across computational biology, machine learning, statistics, and bioinformatics to apply.
This position is based at School of Maths and Stats, the Australian Research Council Centre of Excellence for the Mathematical Analysis of Cellular Systems (MACSYS, https://macsys.org/, the world’s largest focused research initiative in mathematical biology) and the Melbourne Integrative Genomics (MIG, https://sites.research.unimelb.edu.au/integrative-genomics, an interdisciplinary research centre advancing the role of statisticians, mathematicians, and bioinformaticians in genomics and computational biology).
Position Title: Postdoctoral Research Fellow
Duties and Responsibilities: 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
Position Qualifications: 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 application website.
Salary Range: Level A – $83,468 – $113,262 p.a. plus 17% super (PhD entry level $105,518 p.a.)
Benefits: 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!
Website: https://jobs.staff.unimelb.edu.au/en/job/920022/macsysmig-research-fellow-in-biological-data-science
Application Information: Is this the perfect opportunity for you? Apply today!
https://jobs.staff.unimelb.edu.au/en/job/920022/macsysmig-research-fellow-in-biological-data-science
Including the following documents:
Resume
Cover Letter outlining your interest and experience
The responses against the Selection Criteria^ (found in the Position Description)
Contact Email: heejung.shim@unimelb.edu.au
Application Deadline: 05/14/2025
Company NameSchool of Mathematics and Statistics, University of Melbourne, Australia
Company Information
We are recruiting a Postdoc/Research Fellow in statistics, machine learning, or bioinformatics, focusing on developing computational methods for complex and large-scale biological data analysis (e.g., single-cell/spatial multi-omics data analysis) at the University of Melbourne, Australia.
The position offers considerable flexibility in project scope and skillsets, and we encourage applicants with diverse backgrounds across computational biology, machine learning, statistics, and bioinformatics to apply.
This position is based at School of Maths and Stats, the Australian Research Council Centre of Excellence for the Mathematical Analysis of Cellular Systems (MACSYS, https://macsys.org/, the world’s largest focused research initiative in mathematical biology) and the Melbourne Integrative Genomics (MIG, https://sites.research.unimelb.edu.au/integrative-genomics, an interdisciplinary research centre advancing the role of statisticians, mathematicians, and bioinformaticians in genomics and computational biology).
Position TitlePostdoctoral Research Fellow
Duties and Responsibilities
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
Position Qualifications
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 application website.
Salary RangeLevel A - $83,468 – $113,262 p.a. plus 17% super (PhD entry level $105,518 p.a.)
Benefits
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!
Position or Company Websiteunimelb.edu.au
Application Instructions
Is this the perfect opportunity for you? Apply today!
https://jobs.staff.unimelb.edu.au/en/job/920022/macsysmig-research-fellow-in-biological-data-science
Including the following documents:
Resume
Cover Letter outlining your interest and experience
The responses against the Selection Criteria^ (found in the Position Description)