Research Associate in Decision Analytic Modelling (Fixed Term)

University of Cambridge; Cambridge; On-site; GBP 33,000 - 47,000; Full time

Job summary

A leading UK university seeks a Research Associate in the Cardiovascular Epidemiology Unit. The role involves developing simulation models for heart transplant allocation and contributing to research in health economics. Candidates should have a PhD or equivalent in a quantitative field, with skills in statistical modelling and communication. This full-time position offers competitive salaries depending on the appointment level.

Qualifications

• PhD (or equivalent) in Health Economics, Health Data Science, Statistics, or related quantitative subject.
• Strong understanding of inferential and quantitative concepts.
• Strong computational skills with experience in simulation modelling.

Responsibilities

• Develop and apply a simulation model for heart transplant allocation.
• Characterize underlying processes using statistical modelling.
• Provide economic evaluation evidence for new technologies.

Skills

Statistical modelling

Quantitative techniques

Communication skills

Organizational skills

Simulation modelling

Education

PhD or equivalent in relevant field

Job description

Overview

An exciting opportunity has arisen for a new analytical role in the Cardiovascular Epidemiology Unit (CEU), Department of Public Health and Primary Care.

The post-holder will contribute to the development and application of a simulation model for heart transplant allocation in the UK, working in close collaboration with colleagues at the Royal Papworth Hospital (RPH) and NHS Blood & Transplant. Statistical modelling, informed by a set of national data resources, will be required to characterise the underlying processes. The simulation model will then subsequently be deployed to provide economic evaluation evidence for the implementation of cutting-edge technologies, and to inform national policy-making.

There will be further opportunities to carry out research in aligned areas, dependent on the post holder\u2019s interest and expertise. This could include within-study cost-effectiveness analysis or decision-analytic modelling with application to cardiovascular disease or blood donation research. It is anticipated that this portfolio of work will lead to a series of publications along with presentation of findings at relevant scientific meetings.

Responsibilities

• Work in collaboration with CEU analysts and colleagues at RPH and NHS Blood & Transplant to develop and apply a simulation model for heart transplant allocation in the UK.
• Characterise underlying processes using statistical modelling informed by national data resources.
• Deploy the simulation model to provide economic evaluation evidence for the implementation of new technologies and to inform national policy-making.
• With supervision, carry out research in aligned areas such as within-study cost-effectiveness analysis or decision-analytic modelling related to cardiovascular disease or blood donation research.
• Disseminate findings through publications and presentations at relevant scientific meetings.

Collaborations

The post holder will work in close conjunction with the senior analysts in the CEU, including Dr Lois Kim and Professor Angela Wood, and with scientific colleagues at the RPH, including consultant cardiothoracic surgeon Mr Marius Berman.

Qualifications and experience

Required: A PhD (or equivalent) in Health Economics, Health Data Science, Statistics, Epidemiology, or other related quantitative subject. A strong understanding of inferential and quantitative concepts and a broad range of quantitative techniques, strong computational skills and preferably experience with simulation modelling. Ability to communicate and present results to other quantitative scientists, epidemiologists, clinicians and scientists, with excellent verbal and written communication skills and strong organisational skills.

Appointment level details: Appointment at Research Associate level is dependent on having a PhD (or equivalent experience), including those who have submitted but not yet received their PhD. Where a PhD has yet to be awarded, the appointment will initially be made at Research Assistant and amended to Research Associate when the PhD is awarded (PhD needs to be awarded within 6 months of the start date).

Contract and working pattern

The funds for these posts are available for 24 months, from commencement. This is a full-time position but we welcome applications of no less than 0.6 FTE per week.

Equality and inclusion

As a group, we value and encourage applications from a diversity of background and experience to contribute to the highly interdisciplinary research programme. We strongly value and encourage Equity, Diversity and Inclusion as well as a flexible working environment.

Application process

Please ensure that you upload a covering letter and CV in the Upload section of the online application. The covering letter should outline how you match the criteria for the post and why you are applying for this role. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application. Please include details of your referees, including email address and phone number, one of which must be your most recent line manager.

For information about how your personal data is used as an applicant, please see the section on Applicant Data (https://www.hr.admin.cam.ac.uk/hr-staff/hr-data/applicant-data) on our HR web pages.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

Salary bands

Research Assistant (Grade 5) £33,002 - £35,608

Research Associate (Grade 7) £37,694 - £46,049