Biostatistics Research Scientist

3 weeks ago

London, Greater London, United Kingdom Imperial College London Full time

Research Associate in Biostatistics

The role of Research Associate in Biostatistics at Imperial College London is an exciting opportunity for a researcher with a strong statistical background and expertise in working with epidemiological data to contribute to the development and application of statistical methods for public health surveillance.

You will work on an MRC funded project: "Incorporating wastewater-based epidemiology into a real-time, multiplex public health surveillance system". This project aims to model the concentration of pathogens in wastewater using a geospatial model and evaluate its role in a multiplex surveillance system, which includes different datasets covering clinical measurements and syndromic data.

The research team includes statisticians and wastewater monitoring experts from several academic institutions, as well as public health researchers from UKHSA and Public Health Wales.

Key Responsibilities:

  • To model the concentration of target viral agents in wastewater using a geospatial framework.
  • To evaluate the extent to which wastewater signals can be used to track traditional disease metrics and investigate the form of the relationship between these and measurements from wastewater samples.
  • To incorporate wastewater into a modular framework, modelling relationships with clinical and symptom outcomes, to predict changes in national and local NHS healthcare demands.
  • To submit abstracts and present findings at national and international meetings.
  • To take a leading role in writing scientific papers and publish in high-quality journals.
  • To work cooperatively as part of multidisciplinary teams.
  • To contribute to teaching delivered by the department, usually in the form of assisting or leading tutorial or practical sessions.

Requirements:

  • A thorough working knowledge of modern applied statistical techniques, including Bayesian hierarchical modelling.
  • A thorough understanding of statistical methods for public health surveillance.
  • Highly proficient in R, preferably having used Rstan/R-nimble and INLA packages.
  • Demonstrable experience of analysing epidemiological/biomedical data for research purposes.
  • Experience of working in multi-disciplinary teams.
  • A record of publications in peer-reviewed journals.

What We Offer:

  • The opportunity to continue your career at a world-leading institution and be part of our mission to continue science for humanity.
  • Growth opportunities: Gain access to Imperial's sector-leading opportunities for promotion and progression.
  • Sector-leading salary and remuneration package, including 39 days off a year and generous pension schemes.

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