Research Fellow

Edinburgh, United Kingdom

Job Description

Full-time: 35 hours per week
Fixed-term: 4 years
The opportunity:
We seek to hire a post-doctoral Research Fellow, with excellent statistical, organisational, and interpersonal skills, to apply advanced causal inference methods to analyse longitudinal data on the mediating pathways through which excess heat influences mental health for a Wellcome funded research study called 'TOLAKARI' (Transformation Of Lived experience And Knowledge of heat, Agriculture and depRession in India).
This post is full-time (35 hours per week). We are also open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working.
Your skills and attributes for success:

  • A PhD in Statistics, Data Science, or Epidemiology with experience in causal inference.
  • An MSC in statistics with expertise in causal inference would also be acceptable if the student is willing to complete a PhD.
  • Experience in causal inference techniques such as g-computation, and propensity score matching.
  • Other relevant analytical skills in advanced data wrangling and programming skills.
  • Good programming skills in Stata or R.
  • Proven ability to meet milestones according to project timelines.
41,064 to 48,822 per annum (Grade 7)

Skills Required

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Job Detail

  • Job Id
    JD4342585
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    £41,064-48,822 per year
  • Employment Status
    Full Time
  • Job Location
    Edinburgh, United Kingdom
  • Education
    Not mentioned