Statistician- Centre for Primary Health Care Equity (CPHCE), Faculty of Medicine & Health

Apply now Job no:522961
Work type:part time
Location:Sydney, NSW
Categories:Information Technology, Research Administration support, Analyst, Clinical/Medical Research

Employment Type: Part Time- 21 hours per week

Duration: 1-year fixed term

Remuneration: $106 K- $109 K (pro rata; based on experience) + 17% super + annual leave loading

Location: Kensington, NSW 

Why this role matters:

The Statistician will be responsible for supporting the project team in achieving the aims of the study. This will involve data management, designing, planning, and analysing linked health data, including descriptive studies relating to different exposures and outcomes, as well as predictive modelling to establish the potential association between different treatment variables, behaviours, and a range of health-related outcomes. 

The role of the Statistician will report to the Central and Eastern Sydney Primary and Community Cohort Linkage Project (CES-P&CH) Chief Investigator and has no direct reports.

Key Accountabilities (but not limited to):

• Undertake data management and data analysis, including the application of advanced statistical techniques to large, complex linked datasets.
• Contribute to the design of studies using appropriate statistical methods (e.g. survival analysis, GEE models).
• Accurately interpret the results of analyses and communicate the findings verbally and in written summaries.
• Manage data according to best practices, including, data checking and quality control, development of analytical protocols, management of electronic files and records (including data dictionaries), and archiving.  
• Contribute to ethics applications, progress reports and data governance for the study.
• Attend regular project meetings and provide updates on progress against study aims, including written updates for investigators.

Skills Required:

• Undergraduate degree specialising in statistics, biostatistics, epidemiology, pharmacoepidemiology or a related discipline, with relevant experience in research and machine learning techniques.
• Demonstrated experience in the management and analysis of large complex health datasets, and preferably the analysis of linked, longitudinal data.
• Highly developed data analysis skills and experience in using SAS, and R with evidence of applying a methodical and detailed approach to data exploration and cleaning.
• Demonstrated ability to perform complex statistical analyses and provide direction in research design and statistical analysis independently and accurately.
• Demonstrated understanding of ethical principles relating to privacy and confidentiality with ability to maintain the strictest confidentiality when dealing with sensitive data.
• Excellent interpersonal and communication skills, with proven ability to build successful working relationships with a variety of people, both internal and external.
• An understanding of and commitment to UNSW’s aims, objectives and values in action, together with relevant policies and guidelines.
• Knowledge of health & safety (psychosocial and physical) responsibilities and commitment to attending relevant health and safety training

Benefits and Culture:

People are at the core of everything we do. We recognise it is the contributions of our staff who make UNSW one of the best universities in Australia and the world. 

Our benefits include:

• Career development opportunities
• 17% Superannuation contributions and additional leave loading payments
• Additional 3 days of leave over Christmas period
• Discounts and entitlements (retail, education, fitness)

How to apply

To be successful you will hold Australian Working Rights or Australian Citizenship. Visa sponsorship is not available for this appointment.

Please click Apply now to submit your application online.

Applications should not be sent to the contact listed below. Please provide a resume and a cover letter addressing the selection criteria (Skills & Experience in the position description) and interest in the role. To view the full position description, please click on the Position Description link below.

Contact

Aarti

Talent Acquisition Coordinator

[email protected]

Applications close:  Sunday 24th March before 11.30pm.

UNSW is committed to evolving a culture that embraces equity and supports a diverse and inclusive community where everyone can participate fairly, in a safe and respectful environment. We welcome candidates from all backgrounds and encourage applications from people of diverse gender, sexual orientation, cultural and linguistic backgrounds, Aboriginal and Torres Strait Islander background, people with disability and those with caring and family responsibilities. 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.

Advertised:08 Mar 2024 AUS Eastern Daylight Time
Applications close:24 Mar 2024 AUS Eastern Daylight Time