Research Associate/Senior Research Associate

Join to apply for the Research Associate/Senior Research Associate (Bioinformatics / Cancer Genomics) role at UNSW Employment Type: Full time (35 hours a week) Remuneration: $91K – $150K base, depending on experience (+17% Superannuation and leave loading) Work rights: Visa sponsorship is not available for this position. Candidates must hold full rights to work in Australia to be considered for this position. Location: Kensington, NSW This Role is based in Australia. The Molecular Oncology Group, Discipline of Women’s Health The Molecular Oncology Group conducts world‑leading translational research to improve the survival of patients diagnosed with ovarian cancer, through genetic risk prediction and tumour profiling. Large‑scale genetic and genomics datasets as well as long‑term clinical follow‑up data are available through the group’s leading role in two large international consortia. Why this role matters In this position, you will work with internationally recognised research leader Professor Susan Ramus in the Molecular Oncology group in the Discipline of Women’s Health. The position will identify prognostic markers and develop tumour tests to personalise treatment for ovarian cancer patients, by analysing DNA copy‑number data from large‑scale shallow whole‑genome sequencing. Key Skills Required Level A A PhD in Genomics / Bioinformatics or related discipline, and/or an appropriate level of expertise gained from a combination of experience, training and/or professional accreditation. Competency in analysis of high‑dimensional bioinformatic data from preprocessing to analysis in R. Experience in the fields of cancer genetics or genomics an advantage. Experience with supercomputers, GitHub, conda environments, Python & reproducible research documents such as RMarkdown an advantage. Demonstrated ability to undertake high‑quality academic research and conduct independent research with limited supervision. Proven high‑level organisational skills, including the ability to establish priorities, time management, with excellent attention to detail. Demonstrated track record of publications and conference presentations relative to opportunity. Proven commitment to proactively keeping up to date with discipline knowledge and developments. Level B (in addition to the above) A minimum of five years post‑doctoral research experience. Demonstrated track record in research publications and conference presentations, with outcomes of high quality and high impact. Demonstrated ability to conceptualise novel research questions in areas relevant to cancer / genetics / genomics and to independently develop these into high‑quality research outputs. Demonstrated ability to coordinate collaborative research projects that include investigators from multiple organisations. Evidence of an increasing trajectory of research excellence and productivity. UNSW Benefits and Culture Flexible working Additional 3 days of leave over the Christmas Period Access to lifelong learning and career development Progressive HR practices How to Apply Please click on Apply now to make an application. Applications should not be sent to the contact listed below. Please provide a resume, a cover letter and a separate document addressing the main skills and experience listed in the position description. A copy of the Position Description can be found on JOBS@UNSW. Enquiries Merita O’Connell, Talent Acquisition Consultant E: merita.oconnell@unsw.edu.au Applications close Sunday 23rd November before 11.30pm, Sydney time. Equal Opportunity Statement UNSW is committed to equity, diversity and inclusion. Applications from women, people of culturally and linguistically diverse backgrounds, those living with disabilities, members of the LGBTIQ+ community, and people of Aboriginal and Torres Strait Islander descent, are encouraged. UNSW provides workplace adjustments for people with disability, and access to flexible work options for eligible staff. The University reserves the right not to proceed with any appointment. #J-18808-Ljbffr