Senior Biostatistician and Data Science Lead
Job no: 514977
Work type: Fixed term - Full-time
Campus: Adelaide
Categories: Faculty of Health & Medical Sciences, Level C
Salary: (Level C) $135,388 to $155,696 per annum plus an employer contribution of 17% superannuation applies.
Fixed term, full time position available for 60 months.
Lead biostatistical and data science initiatives at the cutting edge of cancer research.
The Senior Biostatistician and Data Science Lead will spearhead statistical analyses and data-driven approaches to accelerate research at SAiGENCI.
This role offers a unique opportunity to apply your expertise in biostatistics and data science to ground-breaking cancer research. You will lead a dynamic team, collaborate with world-class researchers, and contribute to the development of innovative computational methods that could transform cancer diagnosis and treatment.
The South Australian immunoGENomics Cancer Institute (SAiGENCI) is establishing a Data Science Unit to accelerate discoveries in cancer research through data analysis and modelling. Working closely with researchers and fostering connections to cooperative research centres, national and international networks, this is a career defining opportunity to shape the direction of data science initiatives at SAiGENCI. With access to state-of-the-art resources and a supportive, collaborative environment, this position provides an excellent platform for professional growth and the chance to make a real impact in the field of biological and cancer research.
To be successful you will need:
- PhD in Biostatistics or an equivalent field, with an understanding of bioinformatics and associated biology and a track record of collaborative publications.
- Demonstrated expertise in standard clinical biostatistics as well as multi-omics data integration, and proficiency in relevant programming languages (e.g., R, Python).
- A strong willingness to collaborate in the development and application of innovative computational methods, including machine learning and AI approaches, to cancer research problems.
- Demonstrated ability to lead and mentor a small team of computational biologists and/or data scientists, including experience in supervising HDR students, while fostering a collaborative, cross-disciplinary, and high-functioning research environment.
- Strong communication skills with the ability to effectively collaborate with wet-lab researchers, clinicians, and computational scientists, as well as explain complex concepts to non-technical audiences.
Enjoy an outstanding career environment
The University of Adelaide is a uniquely rewarding workplace. The size, breadth and quality of our education and research programs - including significant industry, government and community collaborations - offers you a vast scope and opportunity for a long, fulfilling career.
It also enables us to attract high-calibre people in all facets of our operations, ensuring you will be surrounded by talented colleagues, many world-leading. Our work's cutting-edge nature - not just in your own area, but across virtually the full spectrum of human endeavour - provides a constant source of inspiration.
Our culture is one that welcomes all and embraces diversity consistent with our Staff Values and Behaviour Framework and our Values of integrity, respect, collegiality, excellence and discovery. We firmly believe that our people are our most valuable asset, so we work to grow and diversify the skills, knowledge and capability of all our staff.
We embrace flexibility as a key principle to allow our people to manage the changing demands of work, personal and family life.
In addition, we offer a wide range of attractive staff benefits. These include: salary packaging; flexible work arrangements; high-quality professional development programs and activities; and an on-campus health clinic, gym and other fitness facilities.
Your faculty's broader role
The Faculty of Health and Medical Sciences contains one of Australia's largest concentrations of leading health researchers, teachers and clinical titleholders. It's comprised of eight schools and a number of specialist disciplines, institutes and centres, variously focused on world-class research, and training the next generation of: medical doctors; surgeons; dentists; nurses; psychiatrists; psychologists; and other health professionals.
If you have the talent, we'll give you the opportunity. Together, let's make history.
Click on the ‘Apply Now’ button to be taken through to the online application form. Please ensure you submit a cover letter, resume, and upload a document that includes your responses to all of the selection criteria for the position as contained in the position description or selection criteria document.
Applications close: 11:55pm, 21st November 2024.
The University reserves the right to close this advertisement before the closing date if a suitable candidate is identified.
For further information
For a confidential discussion regarding this position, contact:
Professor Lan Nguyen
Head, Computational Systems Oncology Program, SAiGENCI
0437609766
lan.k.nguyen@monash.edu
You'll find a full position description and/or selection criteria below: (If no links appear, try viewing on another device)
The University of Adelaide is an Equal Employment Opportunity employer committed to providing a working environment that embraces and values diversity and inclusion. Female applicants, people with a disability and/or and Aboriginal and Torres Strait Islander people who meet the requirements of this position are strongly encouraged to apply. If you have any support or access requirements, we encourage you to advise us at time of application.
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Advertised: 21 Oct 2024 12:00 AM
Applications close: 21 Nov 2024 11:55 PM
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