Cancer Research Data Science Lead in Adelaide

3 weeks ago


Adelaide, South Australia The University Of Adelaide Full time
Senior Biostatistician and Data Science Role

The University of Adelaide seeks a highly skilled Senior Biostatistician and Data Science Lead to spearhead statistical analyses and data-driven approaches in cancer research. This fixed-term, full-time position offers a unique opportunity to apply your expertise in biostatistics and data science to ground-breaking research.

About the Role
This Senior Biostatistician and Data Science Lead will be responsible for leading biostatistical and data science initiatives at SAi GENCI, accelerating discoveries in cancer research through data analysis and modelling. The successful candidate will work closely with researchers, fostering connections to cooperative research centres, national and international networks, and contribute to the development of innovative computational methods that could transform cancer diagnosis and treatment.

About You
To be successful in this role, you will need a PhD in Biostatistics or an equivalent field, with a strong understanding of bioinformatics and associated biology. Your track record of collaborative publications will be essential, as well as demonstrated expertise in standard clinical biostatistics and multi-omics data integration. Proficiency in relevant programming languages (e.g., R, Python) is also required. Additionally, you will need a strong willingness to collaborate in the development and application of innovative computational methods, including machine learning and AI approaches, to cancer research problems.

What We Offer
The University of Adelaide is a uniquely rewarding workplace, offering a vast scope and opportunity for a long, fulfilling career. As a member of our team, you can expect an outstanding career environment, with access to state-of-the-art resources and a supportive, collaborative environment. You will enjoy a competitive salary, estimated to be around $142,842 per annum, based on the Level C classification and 17% superannuation contribution. Furthermore, you will have the opportunity 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.

Required Skills and Qualifications
The ideal candidate will possess a PhD in Biostatistics or an equivalent field, with a strong understanding of bioinformatics and associated biology. Your track record of collaborative publications will be essential, as well as demonstrated expertise in standard clinical biostatistics and multi-omics data integration. Proficiency in relevant programming languages (e.g., R, Python) is also required. Additionally, you will need a strong willingness to collaborate in the development and application of innovative computational methods, including machine learning and AI approaches, to cancer research problems.

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