Location: | Leicester |
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Salary: | £38,205 to £44,263 per annum (pro rata if part-time). Grade 7 |
Hours: | Full Time, Part Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 22nd September 2023 |
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Closes: | 16th October 2023 |
Job Ref: | 8785 |
Vacancy terms: Full-time, part-time (minimum 0.8FTE 30 hours per week) or job share, fixed term contract for 20 months
Salary details: Grade 7 £38,205 to £44,263 per annum (pro rata if part-time)
Hours per week: 37.5
Advert closes midnight on: 16 Oct 2023
About the role
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 a thousand staff and approaching 4,000 students across it’s departments, which includes Population Health Sciences, and Respiratory Sciences where this post will be based.
The purpose of this fixed term post is to increase research capacity in child and perinatal health, with a focus on the utilization of large real-world datasets to answer clinically important Paediatric and Neonatal 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
You will bring to the role an in-depth knowledge of statistics, gained either through a relevant higher degree at MSc or PhD level or extensive relevant professional experience and qualifications. You must have robust knowledge of fundamental statistical methods and principles and/or machine learning techniques and be competent in statistical software, such as R, Python and/or STATA. You should have experience of pre-processing/cleaning, integrating/linking and analyzing real world data sets, couple 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
Informal enquiries are welcome and should be made to David Lo (dkhl1@leicester.ac.uk) and Professor Lucy Smith (lucy.smith@leicester.ac.uk)
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.
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 equality, 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.
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