Applied Statistics Consultant for Cross-Disciplinary Research

UNSW

Moscow

On-site

GBP 56,000 - 69,000

Full time

5 days ago
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Job summary

UNSW is seeking a Statistical Consultant (Research) to lead study design, analysis, and communication of results across cross-disciplinary research contracts. You will support UNSW researchers, collaborate with a small team in the Mark Wainwright Analytical Centre, and contribute to publications.

The role requires a PhD in Applied Statistics or related discipline, strong expertise in health and behavioural statistics, mentoring capabilities, and the ability to work independently and as part of a

Qualifications

  • PhD in Applied Statistics or related field with strong research record.
  • Experience designing and analyzing clinical trials with advanced methods.
  • Ability to meet project deadlines with minimal supervision.
  • Excellent collaboration and mentoring abilities.

Responsibilities

  • Lead study design and data analysis on cross-disciplinary research contracts.
  • Provide advisory support and communicate results clearly to stakeholders.
  • Mentor research staff and develop statistical software.
  • Collaborate with UNSW researchers and contribute to publications.

Skills

Clinical trial design
Statistical analysis
GLMM
Survival analysis
Time series
Imputation methods
Meta-analysis
Project management
Teamwork
Communication
Mentoring
Statistical programming
Initiative
Health & safety awareness

Education

PhD in Applied Statistics or related discipline

Tools

R
Python
SAS
Stata

Job description

UNSW is seeking a Statistical Consultant (Research) to lead study design, analysis, and communication of results across cross-disciplinary research contracts. You will support UNSW researchers, collaborate with a small team in the Mark Wainwright Analytical Centre, and contribute to publications.

The role requires a PhD in Applied Statistics or related discipline, strong expertise in health and behavioural statistics, mentoring capabilities, and the ability to work independently and as part of a

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