Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Conduct exciting research on the impact of immune drugs in rheumatic diseases.
- Company: Join the University of Manchester, a vibrant and diverse global institution.
- Benefits: Enjoy a fantastic pension scheme, health services, and generous annual leave.
- Why this job: Make a real difference in public health while working with cutting-edge data analysis.
- Qualifications: PhD in epidemiology, data science, or related fields; strong statistical analysis skills.
- Other info: Flexible working options available in a supportive and inclusive environment.
The predicted salary is between 33794 - 41064 £ per year.
We are looking for an enthusiastic researcher with a PhD in epidemiology, data science, public health, statistics or equivalent. The successful candidate will be involved in investigating adverse events and the impact of having adverse events in adults and adolescents with rheumatic diseases such as inflammatory arthritis who receive common immune drugs (e.g. methotrexate). You will be performing quantitative research using data from large observational studies. You will have a good understanding of applying various statistical analyses (e.g. multivariate regression analysis, longitudinal analysis) and of real-world data and interrogating observational large datasets. It is desirable for the research associate to have an understanding of Natural Language Processing (NLP) and machine learning to analyse text data. For this project, the research associate will be based at the Centre for Musculoskeletal Research (CfMR), Centre for Epidemiology, The University of Manchester, Manchester UK.
The post is for 2 years (1.0 FTE or two part-time posts equalling 1.0 FTE). We have a genuine commitment to equality of opportunity for our staff and students, and are proud to employ a workforce that reflects the diverse community we serve. As a global institution, situated at the heart of a lively, culturally diverse city, we welcome applicants of all nationalities.
What you will get in return:
- Fantastic market leading Pension scheme
- Excellent employee health and wellbeing services including an Employee Assistance Programme
- Exceptional starting annual leave entitlement, plus bank holidays
- Additional paid closure over the Christmas period
- Local and national discounts at a range of major retailers
As an equal opportunities employer, we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.
Equality and flexible working:
Our University is positive about flexible working – you can find out more (noting that this is subject to arrangements). Hybrid working arrangements may be considered.
Application and enquiries:
Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies. Any recruitment enquiries from recruitment agencies should be directed to People.Recruitment@manchester.ac.uk. Any CVs submitted by a recruitment agency will be considered a gift. Enquiries about the vacancy, shortlisting and interviews: Name: Suzanne Verstappen. Email: suzanne.verstappen@manchester.ac.uk. General enquiries: Email: recruitmentservices.people@manchester.ac.uk. Technical support: jobtrain support.
Closing date:
This vacancy will close for applications at midnight on the closing date.
Salary:
£37,694 to £41,064 per annum depending on experience.
Research Associate in Manchester employer: Uag
Contact Detail:
Uag Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Associate in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the field of epidemiology and public health. Attend relevant conferences or webinars, and don’t be shy about introducing yourself to potential colleagues or mentors.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your quantitative research projects, especially those involving statistical analysis and large datasets. This will give you an edge when discussing your experience during interviews.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors to refine your responses, especially around your understanding of NLP and machine learning. The more comfortable you are, the better you'll perform!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at the Centre for Musculoskeletal Research.
We think you need these skills to ace Research Associate in Manchester
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your application to highlight your relevant experience in epidemiology, data science, or public health. We want to see how your skills align with the specific requirements of the Research Associate role.
Showcase Your Research Skills: Don’t forget to emphasise your quantitative research abilities and familiarity with statistical analysis methods. We’re keen on seeing examples of how you’ve applied these skills in real-world scenarios, especially with large datasets.
Highlight NLP and Machine Learning Knowledge: If you have experience with Natural Language Processing or machine learning, make sure to mention it! We’re looking for someone who can analyse text data, so any relevant projects or coursework should definitely be included.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the position. Don’t miss out on this opportunity!
How to prepare for a job interview at Uag
✨Know Your Stats
Brush up on your statistical analysis skills, especially multivariate regression and longitudinal analysis. Be ready to discuss how you've applied these techniques in past research projects, as this will show your practical understanding of the role.
✨Showcase Your Research Experience
Prepare to talk about your previous research, particularly any work related to epidemiology or public health. Highlight specific studies you've been involved in, focusing on your contributions and the outcomes, as this will demonstrate your hands-on experience.
✨Familiarise with NLP and Machine Learning
If you have experience with Natural Language Processing or machine learning, make sure to mention it! Discuss any relevant projects where you've used these tools to analyse text data, as this could set you apart from other candidates.
✨Embrace Diversity and Flexibility
Since the University values diversity and flexible working, be prepared to discuss how you can contribute to an inclusive environment. Share examples of how you've worked effectively in diverse teams or adapted to flexible working conditions in the past.
