We are seeking an enthusiastic individual with an interest in applied statistical methods and health economic analysis to work on an exciting programme of research funded by the Wellcome Trust, King’s Health Partners and the NIHR. The portfolio includes an evaluation of the implementation of art-based therapies within local populations at scale, as well as supporting a funded programme grant from Maudsley Charity, IMPHS (Integrating our Mental and Physical Healthcare System).
The post will be based in the Centre for Implementation Science (CIS) within the Health Services and Population Research department of KCL. The post is available for 18 months from March 2021 or as soon as possible thereafter. The Research Associate will join a multidisciplinary team of quantitative and qualitative researchers working across the fields of Improvement and Implementation Science. The post holder will conduct applied quantitative research on trial data and other large datasets stemming from routinely collected data using quantitative methods in support of a range of funded projects.
The post provides an opportunity to enhance our capacity in methodology and applied statistics and health economic analysis to assist in achieving the research and capacity building aims of the Centre for Implementation Science and ARC South London. Our particular methodological interests include developing the application of hybrid trial designs to jointly evaluate implementation, clinical and health economic outcomes and methods for synthesising evidence to support the modelling the cost-effectiveness of delivering health programmes at scale.
Expertise in programming for efficient statistical analysis and modelling and in complex data management would be expected. Experience in evidence reviewing and evidence synthesis would be advantageous as would be a good working knowledge of methods for economic evaluation and economic modelling. A good working knowledge of STATA or R will be essential. The post-holder would be expected to work independently to take on the statistical and health economic analysis of complete projects, from the design of the analytical strategy to the writing-up stage and would be encouraged to further their methodological interests. The post-holder would be encouraged to participate in the wider academic programme of CIS.
Applicants should have an MSc/PhD in either statistics/epidemiology, health economics or a very closely related subject (e.g. applied statistics including health research, micro econometrics as applied to programme evaluation) and have a track record of publication.
We would welcome applications from researchers who themselves have experience of using health services.
The post will be located at the IoPPN, King’s College London, Denmark Hill Campus, De Crespigny Park, London SE5 8AF
This is a full time position.
This is a fixed term contract for 18 Months.
The postholder will be expected:
- To undertake statistical and economic (decision-analytic) modelling using trial and other data, and to contribute to methodological developments within the fields of implementation and improvement science.
- To lead all aspects of data management from the design stage to analysis stage (i.e. cleaning and coding data) from local and national routine data, evidence synthesis, cohort studies, and national statistics to prepare variables for use in analysis
- To work collaboratively as part of the Centre of Implementation Science to conduct analyses, interpret findings, and write academic papers and reports summarising key findings and implications.
- To provide methodological advice for the researchers across NIHR funding portfolio (ARC and PGfAR)
- To arrange meetings and supporting coordination of programme meetings
- To develop skills and competencies that assist in the delivery of current duties and contribute to further professional development
- To contribute to dissemination of research findings including writing peer-reviewed papers, conference presentations, blog posts, and reports.
As a member of the CIS, the postholder will be further expected to:
- Contribute to the development of the statistical science knowledge base through an original portfolio of research
- Provide support in grant applications
- Demonstrating good academic citizenship and contributing to the general business of the departments, through being involved proactively to teaching, training and research support activities (e.g., project design clinics) in the field of statistical science
- Deal with problems effectively as they arise
- Contribute to decisions affecting the team
- Demonstrate appropriate time management techniques
- Ensure compliance with protocols, guidelines and research governance
- Make decisions and use resources and facilities as appropriate
- Demonstrate initiative, autonomy and self-motivation
- Seek help and guidance where necessary
- Any other duties that may be agreed with the line manager or Head of Department.
The post-holder must have excellent written and spoken communication skills and ability to work well with a team of academic researchers as well as clinicians, managers and service users within the NHS.
The post-holder will be expected to contribute to the effective development and project work within their portfolio CIS. This is likely to include supervision of students as well as extensive academic/public dissemination activity commensurate with the role. It is critical that the post-holder can work within and contribute to a highly-driven, high-achieving academic environment of significant reputation.
Academic supervision and direction of the post-holder will be provided by Dr Ioannis Bakolis, Senior Lecturer in Biostatistics and Epidemiology and Dr Andy Healey, senior health economist in CIS and King’s Health Economics, who will provide regular appraisals. The post holder will work with the rest of the team to set and monitor initial targets for academic career development, and project timelines. The post-holder will be encouraged to develop his/her own learning and career objectives.
Performing research requires attention to detail and sustained concentration. The majority of working time will be spent working with a computer.
The above list of responsibilities may not be exhaustive, and the post holder will be required to undertake such tasks and responsibilities as may reasonably be expected within the scope and grading of the post.
Skills, knowledge, and experience
- PhD or MSc with equivalent working experience in relevant subject area (medical statistics, bioinformatics, applied statistics with a specific focus on health research or economics with an emphasis on program or policy evaluation)
- Postgraduate level of skill in statistical analysis, using at least one of Stata or R, and able and willing to extend skills (e.g. to use SQL)
- Experience of design, managing and analysing data from healthcare settings or population-based surveys.
- Able to write succinctly and with clarity
- Ability to work both independently and as part of a team
- Strong time and personal management skills and ability to work to deadlines
- Experience of working with data collected in health services or cohort studies
- Good communication skills (spoken and written)
- Excellent working knowledge of Excel, Word, PowerPoint
- Experience in conducting evidence reviews and evidence synthesis
- Experience in the conduct of randomised controlled trials or observational studies
- Publication record in peer-reviewed journals
- Demonstrable strong interest in statistical methods