Post-Doctoral Research Associate – Statistics (72895)

Post-Doctoral Research Associate – Statistics (72895)
Department of Clinical Sciences
Salary: £36,386 - £42,155 per annum
Full-time, Fixed Term appointment to 31st December 2024
Based in Liverpool with occasional travel overseas

The Department of Clinical Sciences is seeking a Post-Doctoral Research Associate in Statistics to develop and apply statistical methods to cluster randomised trials and observational studies with prevalence or incidence outcomes. This role will work in the research group of AMS Professor Maia Lesosky, in collaboration with the Global Health Trials Unit at the Liverpool School of Tropical Medicine and implementation partners. Applications from individuals with expertise in cluster randomised trials, simulation studies and/or malaria studies are particularly welcome.

The postholder will contribute to ongoing malaria studies in the design and analysis to support the development and deployment of statistical tools in partnership with study stakeholders. The post will involve statistical / epidemiological research, statistical support and analysis, and scientific/paper writing. There will be an opportunity to develop own areas of research interest and to focus on specific areas of work.

The key responsibilities include:

• Statistical Research: Lead analysis on statistical methods and application relevant to project and partners, develop novel simulations and statistical methods relating to cluster RCT designs, and prepare results for presentation and publication. Actively engage on writing manuscripts, documentation, and grant proposals independently as well as supporting the PI.
• Statistical Support: Perform independent statistical analyses on data generated by the project or partners, advise and assist the research teams and partners on study design and analytic approaches, provide short training to other members of the team on methods and programming such as use of reproducible pipelines, model calibration, R software, git, and liaise with project partners on design and analysis decisions.
• Enhance Statistical Components: Engage with external stakeholders and partners to communicate methods, approaches and findings whilst participating in regional, national, and international level collaborations and meetings. Contribute to the capacity development in biostatistics, epidemiology, or statistical programming of partners, and to the supervision of PhD and/or Master’s project students.
• General; To contribute to LSTM research with an emphasis on the development and practice of statistical and epidemiological expertise to biomedical research projects, to keep up to date with major developments in approaches or methods to malaria trials and adhere to GCP data protection regulations and ethical standards.

The postholder will have excellent research skills, analytic expertise, and communication skills, plus the ability to work as a member of a multi-disciplinary team. The post will involve working in collaboration with and travel to LSTM research collaborations abroad, particularly in sub-Saharan Africa. The ideal candidate will demonstrate:

• PhD in related research area (e.g., biostatistics, medical statistics, epidemiology related to malaria)
• Experience of statistics or epidemiology in applied research, ideally with experience in malaria research.
• Record in published research in field of epidemiology or statistics
• Knowledge of biostatistics related to malaria and knowledge of malaria.
• Experience with analysis of entomological data and vector control tool trial implementation.
• Statistical programming expertise in R.
• Ability to work independently and as a team player in a multi-disciplinary environment.
• Ability to travel overseas.

(For a full list of essential and desirable criteria please refer to the job description and person specification)

Informal enquiries can be made to: maia.lesosky@lstmed.ac.uk

Closing Date: 26th February 2023

Application Process:

Due to the volume of applications, we receive, we may close our vacancies early. It is therefore advisable to apply as early as possible if you would like to be considered for a role.

Inclusion is central to our values at LSTM

We seek to attract and recruit people who reflect the diversity across our communities, regardless of sexual orientation, gender identity, ethnicity, nationality, faith or belief, social background, age and disability. LSTM selects candidates based on skills, qualifications, and experience.

We welcome conversations about flexible working; and applications from those returning to employment after a break from their careers.

About LSTM

Founded in 1898 and the oldest of its kind in the world, the Liverpool School of Tropical Medicine (LSTM) is an internationally recognised centre of excellence for teaching and research in tropical diseases. Through the creation of effective links with governments, NGOs, private organisations and global institutions and by responding to the health needs of communities, LSTM aims to promote improved health, particularly for people of the less developed/resource poorest countries in the tropics and sub-tropics.

LSTM actively promotes Equal Opportunities and Safeguarding Policies