Statistical Programmer/Data Scientist
Mathematics and Statistics,Statistics,Computer Science,Computer Science,Information Systems
Short info about job
Company: University of Oxford
Department: Nuffield Department of Population Health (NDPH)
Salary: £31,076 to £38,183 Grade 7 p.a.
Hours: Full Time, Part Time
Contract type: Fixed-Term/Contract
Type / Role: Academic or Research
Phone: +44-1424 6267669
Fax: +44-1462 8751403
E-mail: N\A
Site: N\A
Detail information about job Statistical Programmer/Data Scientist. Terms and conditions vacancy
The Nuffield Department of Population Health (NDPH) contains world-renowned population health research groups and provides an excellent environment for multi-disciplinary research and teaching. Based within NDPH, The Translational Epidemiology Unit (TEU) establishes causes of disease and translates epidemiologic findings to population-wide interventions to improve the public health through precision prevention.
As a Statistical Programmer/Data Scientist you will join the new world-class Machine Learning and Biomedical Informatics group of the programme, working to address important questions about risk factors for chronic diseases. The main responsibilities will include management, integration, and further enhancement of large databases, providing statistical and programming expertise and preparation of reports and presentation of research.
To be considered you will have an MSc or good degree in a numerate subject (e.g., mathematics, statistics, computer science) or equivalent experience and experience in statistical programming (in at least two of R, Python, SAS and Stata) and statistical modelling. You will also require experience in large scale data management and genetic analysis as well as exceptional time management and problem solving skills.
The post is full time (part time considered) and fixed term for 2 years in the first instance.
Informal enquiries should be addressed to Professor David Hunter ([email protected]).
The closing date for applications is 12.00 noon on Monday 18 September 2017.
https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_version_4.jobspec?p_id=129865