Inicio arrow Becas y Ofertas de Empleo arrow JOB: Research Assistant (Advanced Modelling in Biostatistics), University of Leeds, UK
JOB: Research Assistant (Advanced Modelling in Biostatistics), University of Leeds, UK
jueves, 30 de marzo de 2017

Faculty of Medicine and Health

School of Medicine

Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM)

Division of Epidemiology & Biostatistics

Research Assistant (Advanced Modelling in Biostatistics)

Full Time

Fixed Term (18 months)

This new post offers an opportunity to work in a large, dynamic research group with an established reputation in medical statistics. You will benefit from working with experts in the fields of epidemiology, biostatistics and cancer research. Using novel state-of-the-art statistical techniques you will work on a research project to analyse comprehensive patient records (CPR) that assess the impact of cancer, co-morbidities and late effects on individuals and the health service. You will publish in leading journals and be a key part of a large team of multidisciplinary researchers.
You will be familiar with a range of statistical software packages such as Stata or R and preferably have experience in statistical modelling of large data sets. You will have attained a qualification (minimum first degree) preferably in mathematics or statistics. An MSc or PhD in applied statistics or equivalent experience and an existing publication record in a relevant area are desirable. Additional training, guidance and mentoring will be given appropriate to your experience and personal skills.

To explore the post further or for any queries you may have, please contact:
Dr Paul Baxter, telephone +44 (0)113 343 9078 or email Esta dirección de correo electrónico está protegida contra los robots de spam, necesita tener Javascript activado para poder verla .
University Grade 6 (£26,052 – £31,076 p.a.) depending on qualifications and experience Job reference: MHLCM1086

Closing Date: 21 April 2017

Further details available at: https://jobs.leeds.ac.uk/vacancy.aspx?ref=MHLCM1086