Research Associate

Salary: £34,866 - £36,924 per annum   Newcastle University is a great place to work, with excellent benefits .
We have a generous holiday package; plus the opportunity to buy more, great pension schemes and a number of health and wellbeing initiatives to support you.
Closing Date: 04 December 2024   The Role   Do you have an interest in the ageing population and in helping them remain as independent as possible   We are looking for a dynamic individual with a robust background in statistics evidenced by a strong publication record.
Ideal candidates should have proven track record of analysing data both cross-sectionally and longitudinally (evidenced by publications).
As a member of the team, you will analyse large complex datasets using advanced quantitative methods to answer policy and clinically relevant questions.
You will be experienced in biostatistics/epidemiology and will be able to apply longitudinal/panel data methodology.
Ideally you will be experienced in the manipulation and management of such datasets, and in the application of advanced methods.
In addition, you will have experience of writing for a range of audiences to promote knowledge exchange and some understanding of and commitment to health research.
Candidates should have a post-graduate qualification in statistics (masters level as minimum) AND/OR a professional qualification (i.e.
CStat) AND/OR relevant experience in epidemiological analyses.
A successful candidate will join us at the Population Health Sciences Institute at Newcastle University and collaborate with colleagues of international standing.
Please provide evidence of how you meet the essential criteria required for the role outlined in 'The Person' by uploading a letter of application along with your Curriculum Vitae (CV) For further information please contact Dr Andrew Kingston ( ****** )   Please note that if you are successful to this role, you will require medical clearance and a Research Passport before you can commence in the role   Key Accountabilities   Undertake data analysis, including (but not limited to): Contribute to the development of protocols for longitudinal analyses.
Prepare data for analysis.
Conduct statistical analyses, as applied to the longitudinal health data.
Assessment of the quality and appropriateness of datasets for analysis.
Liaising with other researchers working on related data.
Provide guidance, supervision and support to less experienced statisticians.
Collaborate with project groups and clinicians to advise and implement statistical aspects of projects at the planning stage and to advise/contribute to the statistical aspects of applications for funding and/or regulatory approval where necessary.
Liaise with chief investigators and project managers to undertake statistical analysis and prepare reports for project committees and where necessary present these reports.
Work independently and collaboratively in developing statistical analysis plans.
Maintain a keen interest in research developments in statistics and to share knowledge and experience with colleagues to inform research and introduce innovative methods of obtaining and analyzing data.
Meet project deadlines and milestones and manage the statistical contributions to the research project appropriately.
Travel to Edinburgh to meet project needs.
Assist in the co-ordination of components of the research programme, including: Facilitating liaison between the members of the research team to ensure that areas of responsibility are defined and agreed.
Coordinating production of reports and associated outputs.
Acting as the first point of contact for internal inquiries about statistical/epidemiological aspects of relevant projects.
Write up results for publication.
Undertake rapid literature reviews to support the writing of research papers and funding proposals.
Knowledge, Skills and Experience  Essential Experience of accessing, managing, and interpreting person level data sets Experience of longitudinal analytical techniques to model repeated observations over time.
Knowledge of one or more statistical analysis packages (STATA, SPSS, R).
Skills in critical appraisal, data analysis, statistics, and interpretation.
Ability to work with a high level of accuracy and attention to detail, whilst meeting deadlines Ability to work independently and as a member of a team Ability to establish effective working relationships, with a range of colleagues and stakeholders at all levels of seniority Ability to adhere to strict observation of data governance issues and data protection legislation Excellent interpersonal and communication skills with the ability to translate ideas into action Ability to contribute to the development of presentations and peer reviewed publications Excellent organisational, communication and interpersonal skills Ability to maintain confidentiality A strong publication record in applied statistics and ageing Knowledge and experience of working with large quantitative datasets Commitment to the University's research strategy and mission Commitment to own personal development An understanding of, and commitment to, equality, diversity and inclusion and good working relationships   Desirable Experience of teaching Experience of systematic reviews and meta-analysis Ability to lead a team and manage and mentor less experienced staff and supervise postgraduate students Some experience of the science of ageing   Attributes and Behaviour Essential Experience in the analysis and delivery of research projects.
Evidence of completed research and publications in peer-reviewed journals.
Experience of applying longitudinal statistical methods to studies of health and ageing.
Desirable Evidence of contributing to successful applications for national/international peer reviewed research funding Ability and willingness to travel locally, within UK and internationally for meetings and conferences Qualifications A master's in medical statistics or a closely related highly quantitative subject or equivalent professional qualification e.g.
Chartered Statistician.
Knowledge and skill will be assessed at interview.
Desirable PhD in Medical Statistics/Epidemiology Chartered Statistician status Newcastle University is a global University where everyone is treated with dignity and respect.
As a University of Sanctuary, we aim to provide a welcoming place of safety for all, offering opportunities to people fleeing violence and persecution.
We are committed to being a fully inclusive university which actively recruits, supports and retains colleagues from all sectors of society.
We value diversity as well as celebrate, support and thrive on the contributions of all of our employees and the communities they represent.
We are proud to be an equal opportunities employer and encourage applications from individuals who can complement our existing teams, we believe that success is built on having teams whose backgrounds and experiences reflect the diversity of our university and student population.
At Newcastle University we hold a silver Athena Swan award in recognition of our good employment practices for the advancement of gender equality.
We also hold a Race Equality Charter Bronze award in recognition of our work towards tackling race inequality in higher education REC.
We are a Disability Confident employer and will offer an interview to disabled applicants who meet the essential criteria for the role as part of the offer and interview scheme.
In addition, we are a member of the Euraxess initiative supporting researchers in Europe.
Requisition ID: 27759