Biostatistician: health informatics and real-world data
Salary in the region of £43,722 -£52,903 (dependent on experience) plus excellent benefits
Permanent / Open Contract
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 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 key 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.
• 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 RWD/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 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 or equivalent 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 generating and interpretating results, and writing manuscripts for reports and peer-review 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
• Previous experience using statistical software such as SAS or Stata
• Experience in working with external collaborators
• Experience in training and guiding others
The Wellcome Sanger Institute is a charitably funded research centre and committed to training the next generation of genome scientists. Focused on understanding the role of genetics in health and disease and a world leader in the genomic revolution, our mission is to use genome sequences to advance understanding of human and pathogen biology in order to improve human health. We aim to provide results that can be translated into diagnostics, treatments or therapies that reduce global health burdens. Our science is large-scale and organised into Programmes, led by our Faculty who conceive and deliver our science, and supported by our Scientific Operations teams responsible for all data production pipelines at the Institute.
Our Campus: Set over 125 acres, the stunning and dynamic Wellcome Genome Campus is the biggest aggregate concentration of people in the world working on the common theme of Genomes and BioData. It brings together a diverse and exceptional scientific community, committed to delivering life-changing science with the reach, scale and imagination to pursue some of humanity’s greatest challenges.
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, cricket pitch and sports hall plus a range of dining facilities
• Active Campus Sports and Social Club
• Free Campus Bus Service
Genome Research Limited is an Equal Opportunity employer. As part of our commitment to equality, diversity and inclusion and promoting equality in careers in science, we hold an Athena SWAN Bronze Award and have an active Equality, Diversity and Inclusion programme of activity. We will consider all applicants without discrimination on grounds of disability, sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law. We are open to a range of UK-based flexible working options including part-time or full-time employment as well as flexible hours due to caring or other commitments.
Please include a covering letter and CV with your application.
Closing date for applications: 16/11/2018, however applications will be considered and reviewed on an on-going basis and therefore the post may be filled before the deadline.