Research Assistant - Data Analytics
Position Classification: Admin Off Lvl 3- 6 (appointment in line with qualifications and experience)
Remuneration: 53071.64 - 79458.87 full time equivalent base salary range (excludes super, leave loading and salary packaging)
Hours Per Week: 38
Requisition ID: REQ483072
Sydney Children's Hospitals Network is the largest paediatric health care entity in Australia. We care for thousands of children each year in our hospitals and in their homes — with one purpose in mind — to help young people live their healthiest lives.
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Additional Information:
- An eligibility list may be created for future temporary full or part time vacancies.
The research assistant will work with a well-established and highly regarded cancer research team at Kid’s Research, The Children’s Hospital at Westmead and in collaboration with computing experts from the School of Computer Science, Faculty of Engineering and IT, University of Technology Sydney.
The project “Data Mining for Survivorship: Navigating the genomic environment of childhood cancer.”
The RA will be required to interrogate a range of genomic data sets derived from cancer patients to identify complex traits that define why patients may or may not respond well to standard therapies such as toxic chemotherapy and radiotherapy. This study takes a more nuanced approach to ask what are the genomic traits that characterize patients who respond well to therapies and survive, and can these characteristics be identified earlier in a patient’s journey, specifically during diagnosis.
The RA will pursue tasks which involve data management, coding and algorithm development, application of computing languages including Python and C/C++, and use of machine learning strategies including convolutional neural networks, transfer learning methods and other artificial intelligence or machine learning methods.
Excellent role for a recent graduate to develop their research skills in preparation for taking on a higher degree learning (eg a PhD).
- Bachelor’s degree to Honours level relevant to computer science, AI/machine learning and/or bioinformatics equivalent experience in specified field.
- Excellent working knowledge of computer science research methods utilizing data mining, machine learning and artificial intelligence techniques, with specific experience with deep learning.
- Demonstrated experience in high performance computing data collection, database management and quality assurance as well as establishing, optimising and testing data-driven analyses within a research setting.
- Demonstrated understanding of biomedical data, its source, and characteristics with a focus on data derived from biospecimens including genomic and proteomic data.
- Possess high levels of organisation and meticulous data management and recording of source code during experimentation. Evidence of efficient time management and task planning.
- A sound understanding of data confidentiality and principles of ethical research practice.
- Evidence for a high standard of communication skills and demonstrated ability working effectively both independently and within dynamic research teams.
SCHN is an Equal Opportunity Employer that values diversity - we acknowledge the vibrancy that a diverse workforce brings to enhance both our workplace culture and our service delivery to children, young people and their families and carers. We encourage all suitably qualified applicants to apply. If you identify as an Indigenous Australian or as a person with a disability, please contact us if you would like some more information about our recruitment process.
Aboriginal and Torres Strait Islander people are encouraged to apply. We recognise the value of Aboriginal staff providing health care to Aboriginal children and families that access the services we provide at the Sydney Children’s Hospitals Network. Aboriginal job applicants are encouraged to visit the NSW Health Aboriginal Recruitment tool, Stepping Up to assist in preparing your application.
All NSW Health workers are required to have completed a primary course (2 doses) of a COVID-19 vaccine which has been approved or recognised by the Therapeutics Goods Administration (TGA). New applicants must have completed the vaccination course prior to commencement with NSW Health, or provide an approved medical contraindication certificate (IM011 immunisation medical exemption form) certifying the worker cannot have any approved COVID-19 vaccines available in NSW.
Acceptable proof of vaccination is the Australian Immunisation Register (AIR) Immunisation History Statement or AIR COVID-19 Digital Certificate. Booster doses are highly recommended for all health care workers who have completed the primary course of COVID-19 vaccinations.
NSWHealth is committed to child safety in line with the Child Safe Standards
Applicants holding visas with working rights may be considered for temporary appointment (up to the expiry date of their visa) where no suitable local applicant is identified.
Please note: To be eligible for permanent appointment to a position in NSW Health, you must have an Australian citizenship or permanent Australian residency.
Need more information?
1) Click here for the Position Description
2) Find out more about applying for this position
For role related queries or questions contact Daniel Catchpoole on daniel.catchpoole@health.nsw.gov.au
If you are Aboriginal or Torres Strait islander wishing to apply for this role and want to speak with an Aboriginal person/representative from the Sydney Children’s Hospital Network please contact Wayne Dargan on wayne.dargan@health.nsw.gov.au
For technical support please contact the customer services team on 1300 679 367 and select option 3.
Applications Close: 17/05/2024
