(SHDC) Research Engineer x 5
Deputy Vice Chancellor
(Research)
Reference no. 613/0416
- Develop
and implement data science algorithms, software tools and data systems - Full-time,
3 years fixed term - Remuneration
package: $100-109k p.a. which includes leave loading and up to 17% super
The University of Sydney is Australia’s first university and has an outstanding
global reputation for academic and research excellence. It employs over 7600
permanent staff, supporting over 60,000 students.
The Sydney Health Data Coalition (SHDC) is a new multi-disciplinary initiative
of the University of Sydney based primarily in the Westmead precinct. SHDC aims
to develop and apply data science and machine technologies across all fields of
clinical medicine and health. SHDC is a key part of the University of Sydney
Data Science Hub (DS-Hub) and translational data science initiative. The DS-Hub
comprises a team of software and data science research engineers tasked with
the challenge of translating the best data science into tools, platforms and
systems to assist in research and outcomes across all fields of academic
endeavour.
SHDC and DS-Hub are seeking to recruit up to 5 Research Engineers to support
translational data science in medicine and health. SHDC Research Engineers are
exciting roles to support cutting edge research and development in a critical
and transformational field. The SHDS Research Engineer role will need to have
experience in the use of complex data, a willingness to learn and develop
modern data science methods. These roles will develop and implement data
science algorithms, software tools and data systems to support of research
opportunities across all areas of clinical medicine and health. These roles
will be based in the Westmead precinct. These roles will report to the Lead
Engineer of the DS-Hub.
You will need to demonstrate:
- an
understanding of modern data software and tools, from cloud computing to
the many existing commercial products used for data analytics - a
knowledge of modern data-centric programing languages including one of
Python, R, and development languages including one of C++ or Java - experience
in the use of complex data sets - excellent
interpersonal, verbal and written communication skills with sound
negotiating and conflict resolution skills and a demonstrated level of
tact and discretion in dealing with day to day operational matters - ability
to work both independently and as part of a team, taking initiative and
exercising sound judgement in resolving matters that may arise as part of
normal daily work - demonstrated
ability to organise and prioritise work, sometimes under pressure, with
competing priorities and sometimes limited supervision - tertiary
education in in a computational area of study (computer science,
computational statistics engineering, physics, biology, for example).
- an
appreciation of modern data science methods and familiarity with
statistical or machine learning techniques. - Knowledge
of Cerner Command Language (CCL)
is a great opportunity to support cutting edge research and development in a
critical and transformational field.
This position is designated as child-related work. To undertake or remain in
this position, you are required to apply for and obtain a Working With Children
Check clearance in accordance with the Child Protection (Working With Children)
Act 2012.
University of Sydney careers website. Visit http://sydney.edu.au/recruitment/
and search by the reference number for more information and to apply.
CLOSING DATE:
Open until all positions are filled
The University is an equal opportunity employer committed to equity, diversity
and social inclusion. Applications from equity target groups, including women
and people with disabilities are encouraged. As the University of Sydney has
established a scheme to increase the number of Aboriginal and Torres Strait
Islander staff employed across the institution, applications from people of Aboriginal
and Torres Strait Islander descent are also encouraged.
The University reserves the right not to proceed with any appointment.
