Full Time

Research Associate in Biostatistics

Posted 6 days ago by Imperial College London
White City
Application ends: November 15, 2024
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Job Description

y / Department
Faculty of Medicine

Salary
£48,056 – £56,345 per annum

Location / Campus
White City Campus – Hybrid

Contract Type / Work Pattern
Full time – Fixed term

Closing date
04-Nov-2024
Research associate in Biostatistics, opportunity for a researcher with a strong statistical background and working with epidemiological dataAbout the role
The advertised post as research associate in Biostatistics is an exciting opportunity for a researcher with a strong statistical background and expertise of working with epidemiological data to join a multi-disciplinary team to contribute to the development and application of statistical methods for epidemiological surveillance using disparate data sources, including wastewater, as well as syndromic and clinical data.

You will work on an MRC funded project: “Incorporating wastewater-based epidemiology into a real-time, multiplex public health surveillance system”. They will model the concentration of pathogens (SARS-CoV-2 and Norovirus) in wastewater using a geospatial model and evaluate its role into a multiplex surveillance, which include different dataset covering clinical measurements/outcomes, as well as syndromic data. The developed framework will flag where and when additional resources need to be swiftly deployed to reduce the disease burden on the health system and on the population.

The research team includes statisticians and wastewater monitoring experts from several academic institutions (Imperial College, Lancaster University, Northumbria University, Bangor University) as well as public health researchers from UKHSA and Public Health Wales.

 

What you would be doing
To model concentration of target viral agents (SARS-CoV-2 and Norovirus) in wastewater using a geospatial framework which has already been established by the research team.
To evaluate the extent to which wastewater signals can be used to track traditional disease metrics and to 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 of scientific papers and to publish in high quality journals
To work cooperatively as part of multidisciplinary teams
To contribute to the teaching (Undergraduate and/or Postgraduate) delivered by the department of 5-15 hours per year, usually in the form of assisting/leading tutorial or practical sessions to small groups of students or to participants of short courses.
What we are looking for
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
Record of publications in peer-reviewed journals
What we can offer you
The opportunity to continue your career at a world-leading institution and be part of our mission to continue science for humanity.
Grow your career: Gain access to Imperial’s sector-leading dedicated career support for researchers as well as opportunities for promotion and progression
Sector-leading salary and remuneration package (including 39 days off a year and generous pension schemes).
Further information
The post is offered full time, fixed term for 24 months and you will be based at White City Campus.

For informal enquiries please contact Prof Marta Blangiardo: [email protected] .

 

Available documents
Attached documents are available under links. Clicking a document link will initialize its download.
Download: Research Associate Job Description.Pdf
Download: Employee Benefits Booklet.Pdf
 

Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above.
We reserve the right to close the advert prior to the closing date stated should we receive a high volume of applications. It is therefore advisable that you submit your application as early as possible to avoid disappointment.

If you encounter any technical issues while applying online, please don’t hesitate to email us at [email protected]. We’re here to help.

About Imperial
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This is your chance to help shape the future. We hope you’ll join us at Imperial College London.

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