Statistical Epidemiologist (Senior Staff Scientist) - Sandhu Fa Location: Cambridge, England Salary: GBP38989 - GBP49602 per annum + excellent benefits



Salary range: £38989 to £49602 pa plus excellent benefits. Fixed Term 3 years. We are seeking to appoint a statistical epidemiologist to conduct real-world statistical analyses in the busy Global Health and Populations Research Group, co-located between the Wellcome Trust Sanger Institute and the University of Cambridge, led by Dr. Manjinder Sandhu. Our group assesses the burden and aetiology of chronic diseases among populations, integrating principles and procedures underlying epidemiology, genomics and public health, with a strong interest in global health. The successful applicant will work on analysing real-world data in the field of genomics and electronic health records (EHRs). This will include planning and undertaking complex statistical analyses of longitudinal data with repeated measures to assess epidemiological associations between multiple exposures and disease outcomes. They will also provide statistical input into protocols, study reports and papers for publication. We are looking for someone who has substantial experience in data harmonisation and statistical analysis of large-scale longitudinal data from electronic health record databases in the UK, informed by an understanding of the structure and format of these databases. They should be able to work independently to plan and deliver statistical analyses, as well as devise the statistical methodology for observational research projects. Furthermore, they should be able to evaluate existing statistical methods in different data contexts, as well as devise novel statistical methodology for projects where existing methods have recognised limitations. As a senior postholder in the research group, the successful applicant will also contribute statistical support to other global health research projects within the group as required; help to develop scientific goals for related projects and coordinate activities and interact with other members of the group so that goals are met; contribute to publications or disseminate research findings; and contribute to the process of securing funds. Essential Skills A degree in medical statistics, epidemiology or a related discipline, with sufficient breadth/depth of specialist knowledge in statistics and clinical epidemiology

Substantial experience of conducting statistical analyses with large EHR datasets in the UK e.g. from CPRD, THIN, ResearchOne, QResearch

Substantial experience of conducting statistical analyses with large-scale longitudinal epidemiological data

Substantial experience in data manipulation, curation and merging

Experience of providing statistical input into study protocols including statistical methodology, analysis plans, study design and sample size/power calculations

Ability to report and interpret findings from statistical analyses to a range of audiences

Substantial experience conducting epidemiological analyses in R software

Knowledge and understanding of the structure and format of EHR databases including coding systems used in the UK to record clinical data

Previous experience of writing up statistical methodologies and analyses for reports and publications

Competence in standard IT software packages, e.g. Word, Excel, PowerPoint

Motivated individual who will be a flexible team player with good communication (in both oral and written English) and organisational skills

Ability to prioritise and manage his/her own workload and time

Ability to work competently and efficiently to tight deadlines and to troubleshoot problems without continuous supervision

Demonstrated ability to work independently and as part of a team

Detail oriented and highly organised with the ability to ensure accuracy and rigour in all areas of work

Ability to deal with difficult or pressured situations

Ability to work on a number of projects simultaneously

Strong problem solving, collaboration and communication skills Other information Closing date for applications: 5th February 2017; however applications will be considered and reviewed on an on-going basis and therefore the post may be filled before the deadline To apply, please click here