At a Glance
- 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, pension scheme, 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 care for osteoarthritis patients.
- Qualifications: MSc and PhD in statistics or related field; experience as a statistical epidemiologist required.
The predicted salary is between 40000 - 50000 £ per year.
The University of Southampton is committed to excellence, using insight to tackle complex health, societal and environmental challenges. We are a world-level research-intensive university, renowned for innovation, and rank within the top 1% worldwide.
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 the first instance (full‑time preferred but part‑time may be considered), potentially extendable for up to a further 3 years.
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.
Senior Statistical Epidemiologist (Senior Research Fellow) in Southampton employer: University of Southampton
Contact Detail:
University of Southampton 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 professionals in the field of epidemiology, especially those connected to the University of Southampton. Attend relevant conferences or webinars to make connections and learn about potential job openings.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your previous work in statistical epidemiology, especially any projects related to musculoskeletal health. This will help you stand out during interviews and discussions.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors to refine your communication skills. Focus on articulating your experience with machine learning methods and your ability to work in multidisciplinary teams.
✨Tip Number 4
Apply through our website! We encourage you to submit your application directly on the University of Southampton's careers page. This way, you can ensure your application is seen by the right people and increases your chances of landing that dream role.
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 role 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 position, make sure your application is clear and concise. We love well-structured documents that are easy to read, so take the time to proofread and polish your writing before submitting.
Apply Through Our Website: We encourage you to apply through our website for a smooth application process. It’s straightforward and ensures your application gets to the right place. Plus, it shows us you’re keen on joining our team at the University of Southampton!
How to prepare for a job interview at University of Southampton
✨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 effectively in a multidisciplinary team and convey your ideas clearly.
✨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 that showcase your problem-solving skills and innovative thinking in statistical epidemiology.