Jobs · Research · Georgia

Senior Research Associate

UNSW · Atlanta, GA · 2 wk ago
Research$128k/yrFull-time

About the role

A Senior Research Associate (Level B) will contribute to the design, implementation, analysis and dissemination of clinical, epidemiological, and public health research focused on viral hepatitis (hepatitis B and hepatitis C), prison health, injecting drug use, and other priority populations. The position holder will be involved in research projects from inception through to completion and dissemination, with a primary focus on quantitative data analysis, interpretation of findings, and scientific manuscript development and publication.

Responsibilities

  • Work both as part of a team and independently, while receiving strategic scientific mentorship and support.
  • Contribute to a portfolio of observational epidemiological studies, surveillance systems, cohort studies, and analyses of large clinical and administrative datasets.
  • Lead end-to-end research initiatives—from designing studies and conducting advanced statistical analyses through to publishing impactful findings.
  • Collaborate with multidisciplinary teams, work with large and complex datasets, and play a key role in translating evidence into meaningful public health solutions.
  • Develop statistical analysis plans and undertake advanced quantitative analyses using commonly used statistical packages such as Stata and/or R.
  • Analyse large observational, surveillance, cohort, clinical and administrative datasets.
  • Conceptualise and lead the development of manuscripts for scientific publications (including statistical analysis, interpretation of findings, preparation of manuscript drafts, coordination of coauthor review and responses to peer-review comments) and contribute to publications initiated by collaborators and colleagues.

Requirements

The successful candidate will be expected to have:

  • A PhD in epidemiology, biostatistics, public health, infectious diseases, health services research, or a closely related discipline, and/or relevant work experience.
  • Advanced proficiency in quantitative data analysis, including data management, statistical modelling and analysis using statistical software such as Stata and/or R.
  • Demonstrated ability to undertake all stages of quantitative research, from development of analysis plans through to dissemination of findings, with limited supervision.
  • Demonstrated experience analysing observational, surveillance, cohort, administrative, health services or clinical research datasets.
  • Demonstrated ability to prepare scientific manuscripts suitable for publication in peer-reviewed journals, with limited supervision.

Qualifications

The successful candidate will have:

  • A PhD in epidemiology, biostatistics, public health, infectious diseases, health services research, or a closely related discipline, and/or relevant work experience.
  • Advanced proficiency in quantitative data analysis, including data management, statistical modelling and analysis using statistical software such as Stata and/or R.
  • Demonstrated ability to undertake all stages of quantitative research, from development of analysis plans through to dissemination of findings, with limited supervision.
  • Demonstrated experience analysing observational, surveillance, cohort, administrative, health services or clinical research datasets.
  • Demonstrated ability to prepare scientific manuscripts suitable for publication in peer-reviewed journals, with limited supervision.

Skills

  • Develop statistical analysis plans and undertake advanced quantitative analyses using commonly used statistical packages such as Stata and/or R.
  • Analyse large observational, surveillance, cohort, clinical and administrative datasets.
  • Conceptualise and lead the development of manuscripts for scientific publications (including statistical analysis, interpretation of findings, preparation of manuscript drafts, coordination of coauthor review and responses to peer-review comments) and contribute to publications initiated by collaborators and colleagues.

Benefits

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

Pay

$127,947 base, plus 17% superannuation and leave loading

Schedule

Full-time (35 hours a week)

Contact

Frank McHenry, Talent Acquisition Associate

Applications close: Sunday 12th July before 11.30pm Sydney time

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