Postdoctoral Research Associate in Statistics

Closing date: 2nd November at 11:59pm (GMT)

Full-time 35 hours/week

3 years, from 1st January 2024, or by mutual agreement 

We are looking to appoint a Postdoctoral Research Associate in Statistics with expertise in statistical modelling and associated computational skills. This post is advertised as full-time (35 hours per week), however, we are open to considering part-time or flexible working patterns. 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.  

The Opportunity:

The successful applicant will work on the National Institute of Health (NIH) funded project “Estimating the population size of persons who inject drugs in New York” in collaboration with public health teams led by Dr Heather Bradley (Emory University) and Dr Eli Rosenberg (New York State Department for Health). The project will involve engagement with the full statistical pipeline spectrum including discussion of the data sources to be used and associated potential implications; the development and application of multiple systems estimation-type approaches to the associated data collected; interpretation of the results and associated feedback for future analyses and/or data collection. 

Applicants should have/or be close to obtaining a PhD in Statistics, and should not only have an interest in developing new statistical tools and applying them to real data, but also in understanding the context of the problem and public health implications. 

 Your skills and attributes for success: 

• Knowledge of statistical models, with a specific focus on generalised linear models and/or multiple systems estimation. 
• Experience of statistical computing and programming (ideally within the R environment). 
• Excellent communication skills both written and oral.
• Ability to work as part of an interdisciplinary team. 

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