Research Associate - Versus Arthritis Centre for Genetics and Genomics
Research Associate - Versus Arthritis Centre for Genetics and Genomics

Research Associate - Versus Arthritis Centre for Genetics and Genomics

Manchester Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join us to analyse patient data for groundbreaking research in psoriatic arthritis.
  • Company: Be part of the University of Manchester's leading Centre for Genetics and Genomics.
  • Benefits: Enjoy a top pension scheme, health services, generous leave, and discounts at major retailers.
  • Why this job: Make a real impact in healthcare while developing your skills in a supportive environment.
  • Qualifications: PhD in relevant fields with experience in genetic data analysis and proficiency in R required.
  • Other info: Flexible working options available; we value diversity and welcome applicants from all backgrounds.

The predicted salary is between 36000 - 60000 £ per year.

Overall Purpose of the Job

We are seeking an enthusiastic researcher with a PhD in statistical genetics, genetic analysis, bioinformatics, health data science, or related fields. The successful candidate will analyze data from patients with psoriatic arthritis as part of the international EU-funded study, Hippocrates. This research aims to establish new standards for early molecular diagnosis and biomarkers of treatment response in psoriatic arthritis.

The position is available immediately on a fixed-term contract until June 30, 2026, based at the Centre for Genetics and Genomics Versus Arthritis (CfGG), University of Manchester, UK. CfGG is a leading research group in rheumatic and musculoskeletal disorders, committed to staff development.

The candidate should have experience in analyzing genetic, transcriptomic, and proteomic data, with a good understanding of statistical analysis methods such as multivariate regression, longitudinal analysis, and proficiency in R. Experience with large observational datasets and genetic/transcriptomic/proteomic data analysis is essential.

What you will get in return:

  • Market-leading pension scheme
  • Health and wellbeing services, including Employee Assistance Programme
  • Generous annual leave entitlement plus bank holidays
  • Paid closure over Christmas
  • Discounts at major retailers

We are an equal opportunities employer and welcome applicants from all backgrounds. All appointments are made on merit. Our university supports flexible working arrangements, including hybrid working.

Note: We do not accept CVs or applications from recruitment agencies. Enquiries from agencies should be directed to People.Recruitment@manchester.ac.uk.

Contacts:

For vacancy-related questions, contact Professor Anne Barton at anne.barton@manchester.ac.uk. For general enquiries, email People.recruitment@manchester.ac.uk. Technical support can be found at https://jobseekersupport.jobtrain.co.uk/support/home.

This vacancy closes at midnight on the specified deadline. Please see the Further Particulars document for the person specification criteria.

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Research Associate - Versus Arthritis Centre for Genetics and Genomics employer: The University of Manchester

At the Centre for Genetics and Genomics Versus Arthritis, we pride ourselves on being a leading research institution dedicated to advancing the understanding of rheumatic and musculoskeletal disorders. Our commitment to staff development is reflected in our market-leading pension scheme, generous annual leave, and health and wellbeing services, fostering a supportive work culture that values flexibility and inclusivity. Join us in Manchester, where you will have the opportunity to contribute to groundbreaking research while enjoying a vibrant city known for its rich cultural heritage and collaborative environment.
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Contact Detail:

The University of Manchester Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Research Associate - Versus Arthritis Centre for Genetics and Genomics

✨Tip Number 1

Familiarise yourself with the latest research and developments in psoriatic arthritis, particularly focusing on molecular diagnosis and biomarkers. This will not only enhance your understanding but also demonstrate your genuine interest in the field during any discussions.

✨Tip Number 2

Network with professionals in the field of genetic analysis and bioinformatics. Attend relevant conferences or webinars where you can meet researchers from the Centre for Genetics and Genomics and discuss your shared interests.

✨Tip Number 3

Brush up on your R programming skills, especially in relation to statistical analysis methods like multivariate regression and longitudinal analysis. Consider working on sample datasets to showcase your proficiency during interviews.

✨Tip Number 4

Reach out to Professor Anne Barton with thoughtful questions about the role or the research being conducted at the Centre. This shows initiative and can help you stand out as a proactive candidate.

We think you need these skills to ace Research Associate - Versus Arthritis Centre for Genetics and Genomics

PhD in statistical genetics, genetic analysis, bioinformatics, or health data science
Experience in analysing genetic, transcriptomic, and proteomic data
Proficiency in R programming
Understanding of statistical analysis methods such as multivariate regression and longitudinal analysis
Experience with large observational datasets
Strong analytical skills
Attention to detail
Ability to work collaboratively in a research team
Effective communication skills
Problem-solving skills
Adaptability to new research methodologies
Time management skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your PhD and relevant experience in statistical genetics, genetic analysis, and bioinformatics. Emphasise any specific projects or research that align with the role's focus on psoriatic arthritis.

Craft a Strong Cover Letter: Write a cover letter that clearly outlines your enthusiasm for the position and how your skills match the job requirements. Mention your experience with data analysis methods like multivariate regression and your proficiency in R.

Highlight Relevant Experience: In your application, be sure to detail your experience with large observational datasets and any previous work involving genetic, transcriptomic, or proteomic data analysis. This will demonstrate your capability to handle the responsibilities of the role.

Follow Application Instructions: Ensure you submit your application through the specified channels on the StudySmarter website. Double-check that you have included all required documents and that your application is submitted before the deadline.

How to prepare for a job interview at The University of Manchester

✨Showcase Your Technical Skills

Make sure to highlight your experience with genetic, transcriptomic, and proteomic data analysis. Be prepared to discuss specific projects where you used statistical analysis methods like multivariate regression and longitudinal analysis, as these are crucial for the role.

✨Demonstrate Your Passion for Research

Express your enthusiasm for the field of statistical genetics and how it relates to psoriatic arthritis. Share any relevant experiences or insights that show your commitment to advancing research in this area.

✨Prepare for Data-Related Questions

Expect questions about your proficiency in R and your experience with large observational datasets. Be ready to explain your approach to data analysis and any challenges you've faced in previous roles.

✨Ask Insightful Questions

Prepare thoughtful questions about the Hippocrates study and the Centre for Genetics and Genomics. This shows your interest in the position and helps you understand how you can contribute to their goals.

Research Associate - Versus Arthritis Centre for Genetics and Genomics
The University of Manchester
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  • Research Associate - Versus Arthritis Centre for Genetics and Genomics

    Manchester
    Full-Time
    36000 - 60000 £ / year (est.)

    Application deadline: 2027-07-14

  • T

    The University of Manchester

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