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Senior Data Management Officer

Apply now Job no: 508884
Work type: Full time, Part time
Location: Sydney, NSW
Categories: Research Administration support

Senior Data Management Officer

  • See the difference you can make, through the work you do
  • Be part of a team that’s delivering change at scale.
  • Here, your work makes a real difference to people’s lives

UNSW isn’t like other places you’ve worked. Yes, we’re a large organisation with a diverse and talented community; a community doing great things. But what makes us different isn’t what we do, it’s how we do it. Together, we are driven to be thoughtful, practical, and purposeful in all we do.

Employment Type: Full-time (35-hour week) or Part time is also considered

Duration: 6 months

Remuneration: $99K - $107K PA (plus 17% superannuation and leave loading)

Location: Kensington campus, NSW

Why this role matters:

CBDRH in collaboration with clinicians and IT personnel from several Local Health Area Districts in NSW is leading the establishment of two data repositories containing hospital Electronic Medical Record (EMR) data. The aim of these data repositories is to facilitate safe and efficient access to meaningful clinical information for collaborative research. The Senior Data Management Officer will assist with the building, organisation, standardisation and management of these data repositories. The Senior Data Management Officer will work in a supportive multidisciplinary team of clinicians, data scientists and engineers.

The Senior Data Management Officer reports to the Head, Clinical Machine Learning Research Unit and has no direct reports.

Skills Required:

  • Undergraduate degree in health information, statistics, epidemiology, public health, combined with previous experience working in the health sector or in clinical audit or equivalent competence gained through any combination of education, training and experience.
  • Extensive experience working with hospital electronic medical records, and, in particular, CERNER will be highly regarded.
  • Experience managing large health databases including routinely collected data, clinical registries, or clinical trials.
  • Experience with data analysis and preparation of reports, with sound analytical, evaluation and/or applied research skills using large datasets.
  • Demonstrated knowledge and extensive experience in statistical and/or database analysis applications (e.g. SQL Server, R, SAS, SPSS, STATA). Experience in programming automated processes will be highly regarded.
  • Excellent written and verbal communication skills, with a high level of attention to detail for deliverables produced.
  • Excellent time management skills, with a demonstrated ability to respond to changing priorities, manage multiple tasks and meet competing deadlines by using judgement and initiative.
  • Demonstrated success working effectively and collaboratively on initiatives with a range of people at different levels within an organisation.
  • Demonstrated ability to work collaboratively and productively within a team, but also to take initiative and work independently while managing competing demands.

How to apply

Please click Apply now to submit your application online.

Applications should not be sent to the contact listed below. Can you please provide a resume and a cover letter addressing your experience and interest in the role. Please see the full position description here

Contacts (job related questions only)

A/Professor Blanca Gallego Luxan - b.gallego@unsw.edu.au

Applications close:  Sunday, 5th June before 11.30pm.

UNSW aspires to be the exemplar Australian university and employer of choice for people from diverse backgrounds. UNSW aims to ensure equality in recruitment, development, retention and promotion of staff, and that no-one is disadvantaged on the basis of their gender, cultural background, disability, sexual orientation or identity. We encourage everyone who meets the selection criteria to apply.

Position Description

Advertised: AUS Eastern Standard Time
Applications close: AUS Eastern Standard Time

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