Biostatistician and Data Science Leader in Cancer Research
4 days ago
Establish a leading role in the South Australian immuno GENomics Cancer Institute (SAi GENCI) by spearheading biostatistical and data science initiatives that drive cancer research.
About the Position
This fixed-term, full-time position offers a unique opportunity to apply your expertise in biostatistics and data science to ground-breaking cancer research at SAi GENCI.
Salary and Benefits
The successful candidate will receive an annual salary of $135,388 to $155,696, plus a 17% employer contribution to superannuation.
In addition to this competitive remuneration package, we offer flexible work arrangements, high-quality professional development programs, and access to on-campus health services and fitness facilities.
Job Description
You will lead a dynamic team, collaborating with world-class researchers to develop innovative computational methods for cancer diagnosis and treatment. This role is part of the establishment of the Data Science Unit at SAi GENCI, aiming to accelerate discoveries in cancer research through data analysis and modelling.
You will work closely with researchers, fostering connections to cooperative research centres, national and international networks. With access to state-of-the-art resources and a supportive environment, this position provides an excellent platform for professional growth and making a real impact in biological and cancer research.
Requirements
To be successful, you will need:
- A Ph.D. in Biostatistics or an equivalent field, with a strong understanding of bioinformatics and associated biology;
- An impressive track record of collaborative publications;
- Demonstrated expertise in standard clinical biostatistics as well as multi-omics data integration, and proficiency in relevant programming languages;
- A willingness to collaborate in the development and application of innovative computational methods, including machine learning and AI approaches, to cancer research problems;
- The 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.
Career Development Opportunities
The University of Adelaide is a uniquely rewarding workplace, offering a vast scope and opportunity for a long, fulfilling career. We foster a culture that welcomes all and embraces diversity, consistent with our Staff Values and Behaviour Framework.
We believe our people are our most valuable asset, so we work to grow and diversify the skills, knowledge, and capability of all our staff. Enjoy an outstanding career environment and make history with us
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