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Medical Statistician - Health Data Research UK at Wellcome Sanger Institute (Hinxton, UK)

We seek an experienced Medical Statistician to analyse high-dimensional data arising from the integration of molecular, genomic and imaging data with clinical information from electronic health records to identify causal risk factors associated with a range of diseases. The post-holder will have access to rich, unique datasets from multiple population and patient cohorts, which include genetic, multi-omic and EHR data.

Candidates should have: i) a Masters or PhD in Statistics or another relevant subject; ii) strong statistical/quantitative skills and knowledge of high-dimensional statistical methods (eg. LASSO, ridge regression); iii) excellent statistical programming skills (e.g. Stata, R); iv) high-level report writing and presentation skills and; v) excellent verbal and written communication skills.

Health Data Research UK is the new national institute for data science for health, which is being established in 2018 with long term (10 year+) funding support from research councils, UKRI, charitable and governmental research funders. The mission of HDR UK is to drive improvements in the health tripartite of patients and populations through research at regional and national scale. To deliver this mission, the Wellcome Sanger Institute (WSI), EMBL-European Bioinformatics Institute (EBI), and the University of Cambridge (UoC) and its associated hospitals came together as the HDR Cambridge partnership.

Health Data Research UK is funded by UK Research and Innovation, Department of Health (England) and the UK devolved administrations, and leading medical research charities.

Essential Skills

  • Masters or PhD in Statistics or another relevant subject
  • Strong statistical/quantitative skills and knowledge of high-dimensional statistical methods (eg. LASSO, ridge regression).
  • Excellent statistical programming skills (e.g. Stata, R)
  • High-level report writing and presentation skills.
  • Strong organisational and interpersonal skills.
  • Excellent verbal and written communication skills.
  • Ability to judge priorities and work to tight deadlines.
  • Ability to be productive and energetic.
  • Ability to work to targets both independently and within a team environment.
  • Ability to ensure accuracy and rigor in all areas of work.

Ideal Skills

  • Experience of relevant statistical approaches, eg, joint models for the analysis of longitudinal and time-to-event model or Mendelian randomisation.
  • Analysis of large, complex epidemiological datasets.
  • A track record of authoring scientific publications.

Our Benefits: Our employees have access to a comprehensive range of benefits and facilities including:

  • Group Defined Contribution Pension Scheme and Life Assurance
  • Group Income Protection
  • Private Health Insurance
  • 25 days annual leave, increasing by one day a year to a maximum of 30
  • Family friendly environment including options for flexible and part-time working, a childcare voucher scheme, Campus Nursery and Summer holiday club
  • Two days paid Employee Volunteering Leave a year
  • Employee Discount Scheme
  • Campus Gym, tennis courts and sports hall plus a range of dining facilities
  • Active Campus Sports and Social Club
  • Free Campus Bus Service

Genome Research Limited hold an Athena SWAN Bronze Award and will consider all individuals without discrimination and are committed to creating an inclusive environment for all employees, where everyone can thrive.

Please include a covering letter and CV with your application.

Closing date for applications: 3 October 2019