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- Tasks: Support research on genetic variation and plasma protein levels through data analysis and visualisation.
- Company: Join the Nuffield Department of Orthopaedics, a leader in musculoskeletal sciences.
- Benefits: Enjoy a competitive salary and the chance to work with cutting-edge biobank datasets.
- Why this job: Be part of an interdisciplinary team making impactful discoveries in genetics and immunology.
- Qualifications: Must have a degree in a relevant field and skills in R/Python for data analysis.
- Other info: Position requires security checks; apply online by 30 July 2025.
The predicted salary is between 29000 - 39000 £ per year.
Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS)
£34,982 per annum : Grade 6
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Research Assistant in Statistical Genetics employer: University of Oxford
Contact Detail:
University of Oxford Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Assistant in Statistical Genetics
✨Tip Number 1
Familiarise yourself with the specific statistical genetics methods mentioned in the job description, such as PLINK and REGENIE. Being able to discuss these tools confidently during an interview will show your genuine interest and preparedness for the role.
✨Tip Number 2
Engage with current research in statistical genetics and proteomics by reading recent publications or attending relevant webinars. This will not only enhance your knowledge but also provide you with talking points that demonstrate your enthusiasm for the field.
✨Tip Number 3
Network with professionals in the field through platforms like LinkedIn or academic conferences. Making connections can sometimes lead to insider information about the role or even a referral, which can significantly boost your chances of landing the job.
✨Tip Number 4
Prepare to discuss your experience with large-scale datasets and any relevant projects you've worked on. Be ready to explain your approach to data management and analysis, as this will be crucial in demonstrating your capability for the tasks outlined in the job description.
We think you need these skills to ace Research Assistant in Statistical Genetics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in statistical genetics, proteomics, and any specific projects you've worked on that relate to the job description. Emphasise your proficiency in R and/or Python, as well as your experience with large-scale biological datasets.
Craft a Strong Supporting Statement: In your supporting statement, clearly articulate your interest in the role and how your background aligns with the requirements. Discuss your experience with genetic association testing, data management, and any familiarity with command-line environments or HPC.
Highlight Relevant Skills: Be sure to mention any practical experience you have with statistical methods mentioned in the job description, such as meta-analysis using PLINK or fine-mapping of HLA-protein associations. This will demonstrate your capability for the tasks outlined.
Follow Application Instructions: Ensure you quote the reference number 180932 in all correspondence and double-check that you have uploaded all required documents before submitting your application online. Pay attention to the closing date and submit well in advance.
How to prepare for a job interview at University of Oxford
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in statistical programming languages like R and Python. Highlight any relevant projects where you've managed and analysed large-scale datasets, especially from biobank studies.
✨Understand the Research Context
Familiarise yourself with the specific research focus of the Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences. Understanding how genetic variation influences plasma protein levels will help you engage more meaningfully during the interview.
✨Prepare for Practical Questions
Expect questions that assess your knowledge of statistical genetics concepts such as GWAS, pQTLs, and fine-mapping. Be ready to explain these concepts clearly and how they relate to the role you're applying for.
✨Demonstrate Your Problem-Solving Skills
Think of examples from your past experiences where you've faced challenges in research or data analysis. Be ready to discuss how you approached these problems and what the outcomes were, showcasing your ability to work independently.
