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Research Scientist: Mouse Population Genomics

Apply now Job no: 506393
Work type: Full Time
Vacancy type: Internal Vacancy, External Vacancy
Categories: Academic - Research Only / Fellowship

  • Salary Package: from Level B $103,914 to 122,947 p.a. or Level C, from $126,879 to $145,912 p.a. plus 17% employer's superannuation and annual leave loading. The appointment will be commensurate with experience.
  • Appointment Type: 3 year fixed term, full-time (possibility of extension)
  • Located at CSIRO Black Mountain in Canberra

The Role 

In this newly created role, you will be reporting to Professor Phil Taylor and working alongside established and successful research scientists at CSIRO, and in particular under the supervision of Dr Peter Brown of CSIRO . As part of this role, you will have the opportunity to build and maintain networks, play a lead role in securing project funds, provide scientific leadership and pursue new ideas and approaches that create new concepts.

Specifically, in this role you will develop and apply genetic tools to understand genetic diversity, dispersal, gene flow and population structure of mouse populations (“landscape genomics”) to develop robust rodent management recommendations for the grains industry.

This information will:

  1. lead to a better understanding of mouse movements (identify source and sink habitats to understand when and where to undertake management),
  2. inform the design of mouse monitoring systems (spatial layout and timing of monitoring) and
  3. improve our understanding of mouse ecology (where do mice live, how do they interact with crops, etc).

In this important role, you will work to connect these different components and generate an entirely new level of understanding of mouse populations and thereby contribute to improved management strategies.

Key Responsibilities include:

  • Designing and carrying out population genomics studies to better understand diversity, gene flow, population dynamics, and migration patterns of mice in Australian cropping systems.
  • Assisting with the experimental design and collection of genetic material. Assist with collection of genetic samples from the field and talking with end-users and stakeholders of this research (growers and the grains industry).
  • Undertake experimental and/or observational research activities, often requiring the supervision and/or training of others to ensure experiments are established in accordance with research design, or as required.
  • Draw on professional expertise, knowledge of other disciplines and research experience, recognise opportunities for innovation and generate new theoretical perspectives by pursuing new ideas/approaches and networking with scientific colleagues across a range of disciplines.

About You

The successful candidate will be PhD qualified in population genomics or a relevant discipline and have an excellent track record of research in the areas of evolutionary genetics or population genetics. You will have significant experience with analysis of genome sequencing data and high throughput sequencing population genomics data. Coupled with your strong research background and successful record of publications in quality journals, you will possess excellent communication skills and a demonstrated track record of working collaboratively and effectively as part of an interdisciplinary team.

You will have a good understanding of project management in a research context and have a strong track record of engaging with and building strong relationships and linkages with industry partners to meet project milestones.

About Us:

Scientific research and discovery have been an integral part of the Science and Engineering story at Macquarie since our beginnings. Our researchers have participated in the world’s first ever attempt to synthesise complex life, turn Wi-Fi into a reality, discover dancing dwarf galaxies, and set the groundwork for the development of blue LED light – the future key ingredients in everything from your smartphone to the lights in your home.

Scientific discovery – be it during our studies or working in industry or at a university – comes from a deep understanding of the fundamentals as well as from being creative. We believe that the creativity, hard work and collaborations of all of our staff is the key to success in Science and Engineering at Macquarie University. We are the Faculty for those not afraid to tackle the big issues. In a world more dependent on science and engineering than ever before, we stand at the forefront of change and innovation.

Macquarie is a university engaged with the real and often complex problems and opportunities that define our lives. Since our foundation 54 years ago, we have aspired to be a different type of university. Over the years, we’ve grown to become the centre of a vibrant local and global community. Connect with us today.

Selection Criteria:

To be considered for this position, please apply online by submitting your cv and a separate cover letter (maximum 3 pages) that demonstrates how you meet the following selection criteria:

Essential

  1. A PhD in a relevant discipline area, such as population genomics and extensive relevant experience
  2. Demonstrated track record of carrying out impactful research in the area of evolutionary genetics/population genomics evidenced by research outputs including high quality publications in both national and international journals and a record of attracting competitive funding
  3. Demonstrated experience with analysis of genome sequencing data and high throughput sequencing population genomics data.
  4. A record of science innovation and creativity, plus the ability and willingness to incorporate novel ideas and approaches into scientific investigations.
  5. Demonstrated strong oral and written communications skills, including the ability to build, develop and foster relationships with a diverse range of stakeholders (e.g. HDR students to Industry collaborators)
  6. Demonstrated ability to work both independently on research and also contribute as a productive member of a research group
  7. A track record of attracting and successfully supervising Higher Degree Research Students

Desirable 

  • Genomics skills that go beyond population genomics, e.g. re-sequencing and whole genomes, annotation.

Specific Role Enquiries:  Professor Phil Taylor via e-mail phil.taylor@mq.edu.au or call + 61 2 9850 1311.

General Recruitment Enquiries: Katherine Rodionoff, HR Consultant via e-mail Katherine.rodionoff@mq.edu.au

Applications Close: Sunday 8 September 2019 at 11:55pm

Macquarie University is committed to Equity, Diversity and Inclusion. We value individual difference and recognise the strength of a vibrant, diverse and inclusive workforce where the backgrounds, perspectives and experiences of our staff are a driving force for collaboration, innovation and impact.

We work to ensure genuine equality of opportunity for people regardless of their gender, age, cultural background, sexual orientation, gender identity, disability and/or family status, and we encourage you to apply for a position at Macquarie University.

             

Advertised: AUS Eastern Standard Time
Applications close: AUS Eastern Standard Time

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