Exciting job opportunity : Statistician (Teaching Fellow) in the Department of Biostatistics, King's College London
We are looking for a teaching fellow in statistics, who cares about helping psychology, psychiatry and neuroscience postgraduate students learn statistics and research methodology. The successful applicant will work as a teaching fellow within an established research and teaching team within the Department of Biostatistics at the Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London..
The successful applicant will have a formal qualification in statistics or discipline with a substantial statistical content. The person will be familiar with statistical software packages such as SPSS/R/STATA and will have competence in standard medical statistics for clinical trials, experimental research and epidemiological studies and excellent written and verbal communication skills. The post holder will be expected to contribute to work with the Department's Education Lead to assist in the delivery of teaching of introductory and advance statistics courses for MSc students in mental health and co-ordinate our short-course programme.
We wish, over the next year, to restructure our teaching to achieve a more programmatic sequence of courses and to introduce greater variety of teaching. This is an exciting opportunity to actively lead in planning new courses and to develop new approaches to teaching statistics, including exploiting the opportunities of online learning and flipped classroom teaching approaches. In addition, 20% of the time will be available to undertake academic research, including writing fellowship applications
For further information please see:
https://www.hirewire.co.uk/HE/1061247/MS_JobDetails.aspx?JobID=58897
For more information about our department please see
http://www.kcl.ac.uk/ioppn/depts/biostatistics/index.aspx
Closing date: 25 March 2015
If you have questions about this role, please contact: Dr Daniel Stahl, Email: [log in to unmask]
You may leave the list at any time by sending the command
SIGNOFF allstat
to [log in to unmask], leaving the subject line blank.
|