Research Associate

About the role

We have an exciting opportunity for a Research Associate with a background in either Statistics or Epidemiology to join us to explore novel studies in maternal and child health using real world datasets.

The College of Life Sciences offers a dynamic, modern environment for study and research, built on decades of highly respected achievement. The College has nearly 1,000 staff and approaching 4,000 students across it’s departments, which includes Population Health Sciences, and Respiratory Sciences where this post will be based.

This is an exciting new, fixed-term Research Associate role for a Statistician or Epidemiologist to contribute to novel studies in child and perinatal health. The research role work will focus on using large scale real-world datasets – linking General Practice records with Hospital attendance data to answer new and clinically important Paediatric and Maternal Health research questions.

You will work collaboratively and independently as part of a research team to achieve defined milestones and produce high quality research as part of a wider programme. You will also be encouraged and supported to develop and apply for further grant/fellowship funding to further their personal development and ongoing employment within academia.

 

About you

We are looking for a candidate that can bring to the role an in-depth knowledge of epidemiology and/or biostatistics through a relevant PhD and/or substantial period of professional experience working in biostatistical/epidemiological research.

You will have experience of applying statistics and/or epidemiological methods and a broad knowledge of modern statistical methods in applied health or social care research.  You must have robust knowledge of fundamental statistical methods and principles and be competent in statistical software, such as R, Python and/or STATA.

Ideally you should have experience of pre-processing/cleaning, integrating/linking and analysing real world data sets, coupled with experience working with complex ‘big data’ such as clinical data or large scale bioinformatics data.

You will be a confident communicator, able to communicate complex information to multidisciplinary audiences, write concise and clear analysis and reports and be confident contributing to scientific discussions and the critical exchange of ideas.

Excellent interpersonal skills are also essential to develop strong working relationships with scientists and academics from complementary disciplines to develop collaborative research.

Additional information
Enquiries are welcome and should be made to Dr. David Lo ([email protected] ).
 
We anticipate that interviews will take place during w/c 12th February 2024.
 


As part of the University’s ongoing commitment to professional development, this role will also be considered on a seconded basis for existing staff members. Please ensure this is discussed with your line manager prior to applying. More information regarding secondments can be found here .
 
The University of Leicester has been changing the world, and changing people’s lives, for 100 years. When you join us, you’ll become part of a community of Citizens of Change , which includes not only our staff and our current students but also thousands of Leicester graduates around the world.
 
As a diverse and forward-thinking employer, we embed the principles of equity, diversity and inclusion into everything we do. That includes not just our core missions of teaching and research, but also our support for staff, students and our local community through our values of Inspiring, Impactful and Inclusive through our values of Inspiring, Impactful and Inclusive.
 
We’re committed to the wellbeing of all our staff and to the sustainability of our environment, on our campus and beyond. We offer a competitive salary package, excellent pension scheme and a generous annual leave allowance, along with opportunities to develop your career in a supportive and collaborative environment.