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- Tasks: Lead innovative research in musculoskeletal health and develop advanced statistical methods.
- Company: Join the University of Southampton, a top 1% global research university.
- Benefits: Enjoy competitive pay, generous leave, and flexible working options.
- Other info: Collaborate with leading researchers in a dynamic, inclusive environment.
- Why this job: Make a real impact on health research and improve patient care.
- Qualifications: MSc and PhD in statistics or related field; experience as a statistical epidemiologist required.
The predicted salary is between 46000 - 52000 £ per year.
The University of Southampton is committed to excellence, using insight to tackle complex health, societal and environmental challenges. We are a world-leading research-intensive university, renowned for innovation, and rank within the top 1% worldwide.
About the position
An exciting opportunity has arisen at the newly configured Lifecourse Epidemiology Centre (LEC) at the University of Southampton for a Senior Statistical Epidemiologist with an interest in musculoskeletal health research. The successful applicant will help deliver the analytical strategy and advanced statistical methods for the Arthritis UK Stratification of Osteoarthritis to promote LiVing well and treatment Effectiveness (SOLVE) Research Consortium. The consortium brings together leading UK researchers to identify subtypes, mechanisms and risk factors in osteoarthritis to improve care.
The post-holder will work with large epidemiological cohorts (including UK Biobank and the UK Clinical Practice Research Datalink (CPRD)) to quantify risk relationships, elucidate mechanisms, and develop a clinical risk prediction tool for hip or knee replacement. The LEC at the University of Southampton, reconfigured from forerunning MRC infrastructure, hosts world leading research into the determinants and mechanisms of chronic musculoskeletal diseases of ageing, principally osteoporosis, osteoarthritis and sarcopenia.
The successful applicant must have an MSc in statistics or a closely related discipline, as well as a PhD, and have experience working as a statistical epidemiologist. Previous experience of implementing machine learning methods and developing research funding applications is desirable. This post requires excellent written and oral communication skills, and the ability to work independently and in a multidisciplinary team.
The post-holder will be expected to spend a minimum of 60% of their time physically present at the LEC, located on the Southampton General Hospital site. The post is Full‑Time Fixed Term, with appointment for 1-year in first instance (full‑time preferred but part‑time may be considered), potentially extendable for up to a further 3 years.
What we can offer you
Working at the University of Southampton gives you access to a wide range of benefits in addition to our competitive rates of pay. Our core benefits include pension scheme membership; a generous annual leave allowance (supplemented by university closure days and public holidays) and excellent family leave arrangements (including maternity, paternity, adoption and parental leave). Committed to supporting our staff and students, we are open to a flexible working approach. We give full consideration to applicants that wish to work flexibly and those who have taken a career break. As a university we aim to create an environment where everyone can thrive and are proactive in fostering a culture of inclusion, respect and equality of opportunity. We are committed to equality, diversity and inclusion and welcome applicants who support our mission of inclusivity.
Apply by 11.59 pm UK time on the closing date. For assistance contact Recruitment on +44(0)2380 592750 or recruitment@soton.ac.uk quoting the job number.
Senior Statistical Epidemiologist (Senior Research Fellow) in Southampton employer: University of South Hampton
Contact Detail:
University of South Hampton Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Statistical Epidemiologist (Senior Research Fellow) in Southampton
✨Tip Number 1
Network like a pro! Reach out to current or former employees at the University of Southampton, especially those in the Lifecourse Epidemiology Centre. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your statistical methods and machine learning techniques. We want to show that we’re not just knowledgeable but also passionate about musculoskeletal health research.
✨Tip Number 3
Practice our communication skills! Since this role requires excellent written and oral communication, let’s rehearse explaining complex concepts in simple terms. It’ll help us shine during the interview.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can keep track of our application status easily.
We think you need these skills to ace Senior Statistical Epidemiologist (Senior Research Fellow) in Southampton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Statistical Epidemiologist role. Highlight your relevant experience in statistical epidemiology and any specific projects related to musculoskeletal health research. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this position and how your background makes you a perfect fit. Don’t forget to mention your experience with machine learning methods and research funding applications if applicable.
Showcase Your Communication Skills: Since excellent written communication is key for this role, make sure your application is clear and concise. We appreciate well-structured documents that are easy to read. This is your opportunity to demonstrate your ability to communicate complex ideas effectively!
Apply Through Our Website: We encourage you to apply through our website for a smooth application process. It’s the best way to ensure your application gets to us directly. Plus, you’ll find all the details you need about the role and our university there!
How to prepare for a job interview at University of South Hampton
✨Know Your Stats
Brush up on your statistical methods and epidemiological concepts. Be ready to discuss how you've applied advanced statistical techniques in your previous roles, especially in relation to musculoskeletal health research.
✨Showcase Your Research Experience
Prepare to talk about your experience with large epidemiological cohorts like the UK Biobank. Highlight any specific projects where you quantified risk relationships or developed clinical prediction tools, as this will resonate well with the interviewers.
✨Communicate Clearly
Since excellent communication skills are a must, practice explaining complex statistical concepts in simple terms. This will demonstrate your ability to work in a multidisciplinary team and convey your findings effectively.
✨Be Ready for Machine Learning Questions
If you have experience with machine learning methods, be prepared to discuss how you've implemented these in your research. Think of examples where these methods improved your analysis or outcomes, as this is a desirable skill for the role.