Organisation/Company: UNIVERSITY OF SYDNEY
Research Field: Other
Researcher Profile: Recognised Researcher (R2), First Stage Researcher (R1)
Country: Australia
Application Deadline: 11 Jan 2025 - 00:00 (UTC)
Type of Contract: Other
Job Status: Full-time
Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
Is the Job related to staff position within a Research Infrastructure? No
Offer DescriptionFixed term role until November 2027 based in Charles Perkins CentreDynamic opportunity to contribute to advancing research projectsBase Salary $99,455 + 17% superannuationAbout the opportunity The Faculty of Medicine and Health has a great opportunity for a Computational Biologist to join a clinical and laboratory research team conducting research on genetically modified cellular (CAR-T cell) immunotherapies for patients with haematologic malignancies.
Working within an established computational team, the successful candidate will draw on a strong background in both computational analyses and biology to provide biological insight from high throughput multiomic datasets and identify factors that contribute to responses to cellular therapies.
This role requires a proactive approach to problem-solving and communication, to leverage the expertise of a multidisciplinary team and drive impactful research outcomes.
Your key responsibilities will be to: Develop bioinformatic pipelines to process and analyse multiomic datasets and provide biological interpretation.Work collaboratively within a multi-disciplinary team, and provide intellectual input into experimental design, analysis and interpretation of data.Stay abreast of advances in computational methods and develop best practices to address key biological questions.Maintain detailed records and use version control systems.Build and maintain biological domain expertise.Prepare figures for publications and grant applications.About you A master's or PhD in Computational Biology, Bioinformatics or Immunology, with proven experience in analysing and interpreting bulk and single cell epigenomic and transcriptomic data.Comfortable working with Unix and in a HPC environment.Proficient in R and Python.Strong background in biology.
Experience in immunobiology preferred.Exhibit commitment to good quality data and understand best practices in NGS workflows.Experience in developing and maintaining bioinformatics pipelines.Meticulous attention to detail and accuracy of results.Strong problem-solving skills.Ability to work independently and as part of a team.Sponsorship / work rights for Australia Please note: Visa sponsorship is not available for this position.
This role requires valid work rights for Australia.
Your employment is conditional upon the completion of all role required pre-employment or background checks in terms satisfactory to the University.
Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements.
If you do not meet these conditions, the University may take any necessary step, including the termination of your employment.
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