Senior Medical Statistician
- Employer
- University of Leeds
- Location
- Leeds, United Kingdom
- Salary
- £34,304 to £40,927 p.a.
- Closing date
- May 31, 2022
View more
- Sector
- Pharmaceutical, Business Development
- Hours
- Full Time
- Organization Type
- University and College
- Jobseeker Type
- Academic (e.g. 'Lecturer')
You need to sign in or create an account to save a job.
Are you an experienced medical statistician and want to work for an Institute leading in clinical trials research and impacting international clinical practice?
Do you want to be part of a successful, highly talented, and multi-disciplinary team?
Are you an enthusiastic, driven postgraduate with a major statistical qualification?
The Clinical Trials Research Unit (CTRU) is an international leader in the field of clinical trials. The Unit is one of the largest in the UK and conducts national and international early phase and late phase clinical trials in a variety of clinical fields. Our main aim is to develop and support novel and efficient trials to change clinical practice for the better. Our past results and current research have already helped to do this. Our results inform the academic development of this specialised field of clinical research on a national and international level. Particularly, we specialise in complex phase III trials, early phase I/II trials, biomarker-driven designs, seamless phase II/III designs, adaptive designs and the development, optimisation and evaluation of complex interventions, including cluster randomised and complex factorial designs.
You will be a talented and dynamic individual with a postgraduate qualification, including a major statistical component, and an interest in evaluating novel treatments or interventions of pharmaceuticals, radiotherapy, surgery, medical devices or complex interventions. You will have considerable applied experience in clinical trial statistics and/or medical statistics including some project and people management.
If you are looking for a role that aims to improve patient outcomes and provide you with an excellent opportunity to develop your career and broaden your expertise through methodological research, apply today.
To explore the post further or for any queries you may have, please contact:
Prof Deb Stocken, Head of Statistics
Tel: +44 (0)113 343 5616
Email: d.d.stocken@leeds.ac.uk
We welcome applications throughout the year.
Our application system will re-advertise this job at the end of every month with a new job reference. If you have recently applied and we haven't got back to you, you may still be under consideration and you shouldn't apply under the new job reference. If you are applying towards the end of the month please ensure your application is submitted by the closing date on the system otherwise you will need to start a new application under the new job reference. Candidates will be reviewed throughout the month and you may receive an email inviting you to interview before the closing date below.
Further Information
The University of Leeds is committed to providing equal opportunities for all and offers a range of family friendly policies . The School of Medicine holds a Gold Athena Swan award. We are committed to being an inclusive Medical School that values all staff, and we are happy to consider job share applications and requests for flexible working arrangements from our employees.
Do you want to be part of a successful, highly talented, and multi-disciplinary team?
Are you an enthusiastic, driven postgraduate with a major statistical qualification?
The Clinical Trials Research Unit (CTRU) is an international leader in the field of clinical trials. The Unit is one of the largest in the UK and conducts national and international early phase and late phase clinical trials in a variety of clinical fields. Our main aim is to develop and support novel and efficient trials to change clinical practice for the better. Our past results and current research have already helped to do this. Our results inform the academic development of this specialised field of clinical research on a national and international level. Particularly, we specialise in complex phase III trials, early phase I/II trials, biomarker-driven designs, seamless phase II/III designs, adaptive designs and the development, optimisation and evaluation of complex interventions, including cluster randomised and complex factorial designs.
You will be a talented and dynamic individual with a postgraduate qualification, including a major statistical component, and an interest in evaluating novel treatments or interventions of pharmaceuticals, radiotherapy, surgery, medical devices or complex interventions. You will have considerable applied experience in clinical trial statistics and/or medical statistics including some project and people management.
If you are looking for a role that aims to improve patient outcomes and provide you with an excellent opportunity to develop your career and broaden your expertise through methodological research, apply today.
To explore the post further or for any queries you may have, please contact:
Prof Deb Stocken, Head of Statistics
Tel: +44 (0)113 343 5616
Email: d.d.stocken@leeds.ac.uk
We welcome applications throughout the year.
Our application system will re-advertise this job at the end of every month with a new job reference. If you have recently applied and we haven't got back to you, you may still be under consideration and you shouldn't apply under the new job reference. If you are applying towards the end of the month please ensure your application is submitted by the closing date on the system otherwise you will need to start a new application under the new job reference. Candidates will be reviewed throughout the month and you may receive an email inviting you to interview before the closing date below.
Further Information
The University of Leeds is committed to providing equal opportunities for all and offers a range of family friendly policies . The School of Medicine holds a Gold Athena Swan award. We are committed to being an inclusive Medical School that values all staff, and we are happy to consider job share applications and requests for flexible working arrangements from our employees.
You need to sign in or create an account to save a job.
Get job alerts
Create a job alert and receive personalized job recommendations straight to your inbox.
Create alert