Research Fellow (Biostatistician)

UNSW; Dublin; On-site; EUR 68,000 - 86,000; Full time

Benefits offered by this job

17% Superannuation & leave loading

Flexible working

Extra 3 days of leave over Christmas

Lifelong learning & career development

Progressive HR practices

Job summary

UNSW's Kirby Institute in Sydney is seeking a Research Fellow (Biostatistician) to design, analyse and report on linked health data projects. You will lead statistical analyses of national datasets in collaboration with investigators and stakeholders, applying advanced methods and contributing to publications.

This 12-month fixed-term role offers a competitive base salary, 17% superannuation, and opportunities for collaboration across a world-leading health research environment addressing

Qualifications

• PhD in a related discipline or equivalent work experience.
• High-level skills in STATA, R, SAS, PySpark and Python.
• Experience with linked health data and output of statistical analysis plans.
• Demonstrated ability to conduct independent research with limited supervision.
• Track record of publications and conference presentations.
• Ability to develop advanced data management and statistical analysis methods.

Responsibilities

• Design, document, analyse and report on linked and surveillance health data research.
• Lead statistical analysis of national datasets in collaboration with investigators.
• Apply advanced analytical methods and contribute to publications and reports.
• Present findings to diverse audiences and collaborate across disciplines.

Skills

PhD in related discipline

STATA

R

SAS

PySpark

Python

Linked health data analysis

Publications & presentations

GitHub

Team collaboration

Education

PhD in related discipline

Tools

GitHub

Job description

This Job is based in Australia

Research Fellow (Biostatistician) - The Kirby Institute

• Employment Type: Full - time (35 hours a week)
• Duration: 12 Months Fixed Term contract
• Remuneration: $118,467 base, plus 17% superannuation and leave loading
• Work rights required: 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, Sydney

About The Kirby Institute

The Kirby Institute is a world-leading health research institute at UNSW Sydney. We work to eliminate infectious diseases, globally. Our specialisation is in developing health solutions for the most at-risk communities. Putting communities at the heart of our research, we develop tests, treatments, cures and prevention strategies that have the greatest chance of success.

Details of the role

The Research Fellow (Biostatistician) is responsible for the design, documentation, analysis and reporting of linked and surveillance health data research conducted by The Kirby Institute. The position holder’s primary obligation is the statistical analysis of national linked health and social and surveillance datasets in collaboration with investigators and stakeholders.

Join a world-leading research environment where your statistical expertise will contribute to advancing population health outcomes and addressing some of the most significant public health challenges. In this role, you will work with large-scale linked, surveillance and administrative datasets to generate meaningful evidence that informs research, policy and practice. Collaborating with multidisciplinary teams, investigators and key stakeholders, you will apply advanced analytical methods, contribute to high-quality publications and reports, and present findings to diverse audiences. This is an exciting opportunity for an early-career researcher to strengthen their research profile, contribute to impactful health research, and support the development of innovative data-driven solutions that improve the lives of communities both in Australia and globally.

The role of Research Fellow (Biostatistician) sits within the SERP team and has no direct reports.

Some Key Skills Required

• A PhD in a related discipline and/or relevant work experience
• High level skills in relevant statistical packages including STATA, R, SAS, PySpark and Python
• Previous experience in the management and analysis of linked health data, the production of statistical analysis plans and the use of GitHub
• Demonstrated ability to undertake high‑quality academic research and conduct independent research with limited supervision
• Demonstrated track record of publications and conference presentations relative to opportunity
• Develop and execute advanced data management and statistical analysis methods on large scale surveillance, linked and administrative datasets
• Draft and finalise study concept sheets, statistical analysis plans, code, data visualisations, scientific manuscripts and reports
• Demonstrated ability to work in a team, collaborate across disciplines, and build effective relationships

Please refer to the position description for full details.

UNSW Benefits And Culture

• 17% Superannuation and leave loading
• Flexible working
• Additional 3 days of leave over the Christmas Period
• Access to lifelong learning and career development
• Progressive HR practices

More information on the great staff benefits and culture can be found here.

Pre-Employment Checks

As part of our recruitment process candidates may be required to undergo pre‑employment screening, which may include reference checks, qualification verification, right‑to‑work verification, and criminal history screening where relevant to the role. Compliance with the necessary combination of these checks is a condition of employment at UNSW.

Applications close: Tuesday 13th October before 11.30pm Sydney time

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.