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Research Scientist - Crop Breeding Optimisation (99966)

Research Scientist - Crop Breeding Optimisation (99966)

CSIROCanberra, Australia
30+ days ago
Job description

Acknowledgement of Country

CSIRO acknowledges the Traditional Owners of the land sea and waters of the area that we live and work on across Australia. We acknowledge their continuing connection to their culture and pay our respects to their Elders past and present. View our vision towards reconciliation

Role highlights

  • Join CSIRO Agriculture & Foods Breeding Innovations Group
  • Great opportunity to actively foster a collaborative culture empowering teams to achieve research excellence
  • 3 year fixed term position based at Black Mountain Canberra

About CSIRO

As Australias national science agency CSIRO is solving the greatest challenges through innovative science and technology. Many of our iconic innovations were once considered impossible until someone just like you joined us and took on the challenge.

Visit for more information.

The opportunity

We have a dynamic and inclusive team within the Breeding Innovations Group within CSIROs Agriculture and Food research unit. We are seeking applicants for the role of Research Scientist crop breeding optimisation. If you take pride in your interpersonal skills and your ability to apply expertise in statistical machine learning we would love to hear from you.

As the Research Scientist you will develop innovative solutions that address technology gaps such as landscape scale optimisation of GxE interactions epistasis and multi-objective breeding to support accelerated crop breeding and pre-breeding platforms for the Australian crops industry. You will be expected to deliver on externally funded research projects partnering with industry stakeholders and also support internal strategic innovation toward accelerating genetic gain in crop breeding and production systems.

This position will be based in Canberra ACT at our Black Mountain site and will be part of a team of other experts in statistical crop breeding. You may be required to travel occasionally as part of collaborations with external partners and to attend domestic and international conferences.

Your high-level duties will include :

  • Carry out innovative research of strategic importance to CSIRO that will where possible address identified technology gaps and lead to novel and important scientific outcomes with a clear path to impact for the Australian crops industry.
  • Draw on professional expertise knowledge of other disciplines and research experience to recognise opportunities for innovation and generate new theoretical perspectives by pursuing new ideas or approaches and networking with scientific colleagues across a range of disciplines.
  • Work collaboratively as part of a multi-disciplinary regionally dispersed research team to carry out tasks in support of project objectives.
  • Liaise with clients to determine their needs and take personal responsibility for client satisfaction.
  • Manage unify and analyse data using relevant data science techniques according to FAIR principles. Data streams will include canola wheat and barley genotype and phenotype data as well as pedigree and environmental data sets. This will require close collaboration with members of the team and external partners.
  • Other duties as directed
  • Role particulars

    Location : Black Mountain Canberra ACT

    Salary : AU$114k - AU$123k per annum (pro rata for part-time) plus 15.4% superannuation

    Tenure : 3-year specified term

    Reference : 99966

    As the successful candidate you will bring :

    Essential criteria

  • A PhD in statistics computational genetics (or an equivalent combination of qualifications and research experience) and relevant postdoctoral experience in the fields of Bayesian statistics statistical machine learning computational and quantitative biology statistical simulation and optimisation.
  • Demonstrated experience applying statistical machine learning to solve complex multi-objective optimisation problems including Bayesian evolutionary and Gaussian Process models linear mixed models and generalised regression models.
  • Demonstrated ability to undertake original creative and innovative research that expands the scale and performance of existing methods by generating and pursuing novel ideas and solutions to scientific research problems.
  • Practical knowledge of Australian crop breeding specifically canola wheat and / or barley.
  • Evidence of advanced programming skills in languages and statistical software packages relevant to biostatistics and bioinformatics (e.g. R Python Fortran Matlab SAS Stata or equivalent) and experience in the use of high-performance computer resources and parallel computation.
  • Demonstrated skills in handling and analysis of large-scale biological datasets for application in crop genomic prediction and selection to enable landscape-scale optimisation of GxE interactions epistasis and multi-trait selection.
  • Demonstrated experience handling different types and representations of genomic data (e.g. transcriptome proteome genome sequence SNP) environment and other data modes (image spectral time series spatial and temporal).
  • Demonstrated experience working in multidisciplinary teams handling multiple tasks and managing time.
  • A demonstrated publication history of authorship on high-quality scientific papers in peer-reviewed journals and / or reports grant applications or inventorship on patent applications.
  • For full details about this role and the desirable criteria please review the Position Description

    Not sure if you meet all the criteria

    While it is CSIRO policy that the successful candidate must meet all the essential criteria there are many ways to demonstrate this. Dont let the list discourage you. If you are unsure about applying please reach out to the contact person in the Position Description.

    Setting you up for success

    We are committed to providing a recruitment process that is fair equitable and accessible to everyone. We recognise that it may be helpful for us to adjust our process to make it equitable for your individual situation. Please contact your TA Partner and let us know how we can support you.

    Life at CSIRO and flexible working arrangements

    W e work flexibly at CSIRO offering a range of options for how when and where you can discuss flexible work arrangements with you during the recruitment process. CSIRO also offers a range of leave entitlements benefits and career development opportunities. To find out more visit Careers at CSIRO.

    Inclusion and belonging

    Solving Australias greatest challenges takes a diversity of minds and lived experiences. We know diverse teams are more effective and deliver more innovative outcomes. As an equal employment opportunity organisation we are committed to creating diverse and inclusive teams where people feel they belong. We recognise true diversity encompasses all ages abilities cultures faiths levels of education genders sexualities diversity of thought and much more. We focus on hiring people who share our values of People First Further Together Making it Real and Trusted.

    CSIRO holds Gold Status for the Australian Workplace Equality Index for LGBTQIA inclusion and a Science in Australia Gender Equity Bronze Award.

    Eligibility

    Applications for this position are open to Australian Citizens New Zealand Citizens and Australian Permanent Residents only. Appointment to this role is subject to provision of a national police check and may be subject to other security / medical / character requirements.

    Child safety

    CSIRO is committed to the safety and wellbeing of all children and young people involved in our activities and programs. View our Child Safe Policy.

    How to apply

    Please apply online and submit a cover letter (maximum 2 pages) and CV that demonstrates your motivation and ability to meet the essential requirements of this role.

    Applications close

    4 June 2025 11 : 59 pm AEST

    Key Skills

    Laboratory Experience,Machine Learning,Python,AI,Bioinformatics,C / C++,R,Biochemistry,Research Experience,Natural Language Processing,Deep Learning,Molecular Biology

    Employment Type : Temp

    Experience : years

    Vacancy : 1

    Yearly Salary Salary : 114 - 123

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    Research Scientist • Canberra, Australia

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