Research Assistant / Associate in Health Data Science

This is an exciting opportunity to contribute to a major international project funded by the Wellcome Trust and led by Dr Emmanuel Molefi entitled "Diversity in Chronobiology: Discovering dynamics and interactions in chronobiology using multimodal, multiscale, and multinational data". The project involves a 10-partner consortium across four continents; and you will be based at the CNNP Lab in the School of Computing at Newcastle University.

The aim of the project is to collect and curate a multimodal, multiscale, and multinational chronobiology and environmental health dataset; and use computational methods to understand how geographical, ethnical, cultural, and biological factors shape human biological rhythms in naturalistic settings.

Duration of post is 12 months.

Key Accountabilities — Research Assistant:
- Collect, analyse and interpret research data and draw conclusions on the outcomes.
- Co-ordinate own work with that of others, use problem solving to affect the achievement of research objectives and contribute to the planning of the project(s).
- Present information on research progress and outcomes to a Principal Investigator or groups overseeing the research project.
- Write up results from own research activity and provide input into the research project's dissemination, in whatever form (report, papers, chapters, books).
- Use research resources (including, where required, laboratories, workshops and specialist equipment) as appropriate.

Key Accountabilities — Research Associate (in addition to the above):
- Contribute ideas, including enhancements to the technical or methodological aspects of the project.
- Determine appropriate methodologies for research.
- Assess research findings for the need/scope for further investigations.
- Contribute to the writing up of the research and its dissemination, either through seminar and conference presentations or through publications.
- Present research findings, either at conferences or through publications in reputable outlets appropriate to the discipline.
- Contribute to grant applications submitted by others and develop own research objectives and proposals for funding.

Knowledge, Skills and Experience — Research Assistant:
- Experience analysing physiological, biomedical, or wearable sensor data.
- Experience applying machine learning, data-driven modelling, or multivariate methods to multimodal physiological and behavioral data.
- Experience in scientific software development and programming (e.g., MATLAB, Python, R).
- Experience of developing and maintaining relationships with diverse stakeholders.
- Evidence of being able to conduct high quality research in one or more areas of Data Science, Machine Learning, Health Informatics, and Digital Health.
- Attention to detail and ability to work at high levels of accuracy.
- Ability to present complex information effectively to a range of audiences.
- Proven ability to analyse data and write-up results.
- Experience of working collaboratively with colleagues.
- Excellent IT skills in all major office applications.
- The ability to use personal initiative and creativity to solve research problems.

Knowledge, Skills and Experience — Research Associate (in addition to the above):
- Awareness of the research environment.
- High level of analytical and problem solving capacity.
- Ability to communicate complex information with clarity.
- Experience of presentations at conferences and/or in high quality publications.

Attributes and Behaviour:
- Commitment to working positively as a member of a multi-skilled research team.
- Ability to negotiate and prioritise multiple, competing responsibilities and to work to deadlines.
- Commitment to continued professional development.
- Understanding of good practice in equality, inclusion and diversity.

Qualifications — Research Assistant:
- Honours degree in Health Data Science, Computer Science, Biomedical Informatics, Biomedical Engineering, Applied Mathematics / Statistics or a related discipline.

Qualifications — Research Associate (in addition to the above):
- PhD in Health Data Science, Computer Science, Biomedical Informatics, Biomedical Engineering, Applied Mathematics / Statistics or a related discipline.

Salary:
- Research Assistant: £34,630 to £36,320 per annum
- Research Associate: £37,369 per annum

Newcastle University offers excellent benefits including a generous holiday package, opportunity to buy additional leave, great pension schemes, and a number of health and wellbeing initiatives.