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Biostatistician (health informatics and real-world data)

Salary in the region of £43,182 - £52,250 (dependant on experience) plus excellent benefits

Fixed Term for 3 years, Job Family: Staff Scientist, Grade 1

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, to develop and apply real-world evidence (RWE) with a strong focus on global health.

The successful applicant will work on analysing real-world data (RWD) using 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 RWD 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 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.

This post provides a unique opportunity to lead large-scale epidemiological studies involving statistical analyses of millions of individuals, in the context of population health and genomics globally. 

Job Reference

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 

Ideal Skills

  • Previous experience using statistical software such as SAS or Stata
  • Experience in working with external collaborators
  • Experience in training and guiding others

Other information

The Sanger Institute is a charitably funded research centre focused on understanding the role of genetics in health and disease. We use state of the art large-scale genomic approaches to drive world-leading projects to uncover the basis of genetic and infectious disease. Our goal is to provide results that can be translated into diagnostics, treatments or therapies that reduce global health burdens.

The Institute is located near Cambridge, UK on the stunning Wellcome Genome Campus. This growing and dynamic site is the British hub of genomic science. It hosts the European Bioinformatics Institute (EBI), Open Targets, a Biodata Innovation Centre and the Genomics England Limited’s 100,000 Genomes Sequencing Centre. The Campus is also home to Wellcome Genome Campus Connecting Science. Connecting Science inspires new thinking, sparks conversation and supports learning by drawing on the ground-breaking research taking place on the Campus. Its mission is to enable everyone to explore genomic science and its impact on research, health and society.

To help researchers to develop their skills and networks, the Institute hosts a range of scientific seminars with internal and invited speakers, scientific group meetings and skills development workshops.

Our Benefits include: Defined Contribution Pension Scheme, Group Income Protection, Healthcare scheme, Childcare Vouchers, Workplace Nursery and 25 days Annual Leave, increasing by one day per year up to a maximum of 30, plus Bank Holidays. We also have a gym, two cafes, dining facilities, and a free campus bus service. Our thriving Sports and Social Club provides many opportunities to meet with people working across the campus.

Wellcome Trust Sanger Institute welcomes applications from all candidates irrespective of age, disability, gender, gender identity, sexual orientation, race, religion or belief, or marital or civil partnership status.

 Please include a covering letter and CV with your application. Closing date for applications: 7th March 2018