At a Glance
- Tasks: Support analysis and management of health data studies using real-world data.
- Company: Join the prestigious University of Oxford's research team in epidemiology.
- Benefits: Gain valuable experience, contribute to impactful research, and enhance your CV.
- Other info: Full-time, fixed-term role with opportunities for career growth and networking.
- Why this job: Make a difference in public health while developing your skills in a dynamic environment.
- Qualifications: Post-graduate degree in Epidemiology or related field; experience in biostatistics and R programming.
The predicted salary is between 30000 - 40000 £ per year.
We have an exciting opportunity for a Research Assistant in Epidemiology and Health Data Sciences to join the Pharmaco- and Device epidemiology research group led by Professor Daniel Prieto-Alhambra at the Botnar Research Centre, NDORMS, University of Oxford.
The NDORMS Pharmaco- and Device epidemiology research group is involved in a number of national and international studies exploring the conditions of use (adherence, compliance, off and on-label use) of a number of licensed drugs, devices, and vaccines for the prevention and treatment of human disease in 'real world' (routine practice) conditions.
As a Research Assistant in Epidemiology and Health Data Sciences you will support the analysis and management for studies on our portfolio using routinely collected data mapped to the OMOP Common Data Model. You will contribute to the development of study documentation for our studies, you will use R packages to run a number of pre-specified analyses and you will conduct and support research activities based on your relevant expertise area.
You will contribute to publications, scientific reports and journal articles as well as the presentation of data/papers at conferences and other scientific meetings.
You will hold a relevant post-graduate degree in Epidemiology or a related field together with experience in biostatistics and/or health data sciences. Experience in programming statistical analyses, preferably in R and experience in writing scientific documents, e.g. study reports, manuscripts are essential.
As are ability to work within multi-disciplinary teams and independently, good communication skills and excellent team working skills. Experience in the analysis or interpretation of OMOP-mapped data, experience in working with electronic medical records/routinely collected/real world data and experience in generating phenotypes are desirable.
This is a full-time fixed-term appointment for 2 years. The closing date for this position is 12 noon on 10 May 2024. You will be required to upload a CV and supporting statement as part of your online application.
Real-World Data Research Assistant – Epidemiology employer: University of Oxford
The Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences at the University of Oxford offers a dynamic and collaborative work environment where innovation in health data sciences thrives. As a Research Assistant in Epidemiology, you will benefit from access to cutting-edge research projects, opportunities for professional development, and the chance to contribute to impactful studies that shape healthcare practices globally. Located in the historic city of Oxford, you will enjoy a vibrant academic community and a supportive culture that values teamwork and excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Real-World Data Research Assistant – Epidemiology
✨Tip Number 1
Network like a pro! Reach out to people in the field of epidemiology and health data sciences. Attend conferences, webinars, or local meet-ups to connect with professionals who might know about job openings or can give you insider tips.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with R packages and any relevant projects you've completed. This will help you stand out when chatting with potential employers or during interviews.
✨Tip Number 3
Practice makes perfect! Prepare for interviews by rehearsing common questions related to epidemiology and health data analysis. We recommend doing mock interviews with friends or mentors to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and take the initiative to reach out directly.
We think you need these skills to ace Real-World Data Research Assistant – Epidemiology
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your relevant experience in epidemiology and health data sciences. We want to see how your skills align with the role, so don’t be shy about showcasing your biostatistics and programming expertise!
Craft a Compelling Supporting Statement:Your supporting statement 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 for our research group. Be specific about your experience with R and any relevant projects you've worked on.
Showcase Your Teamwork Skills:We value collaboration, so make sure to mention any experiences where you’ve successfully worked within multi-disciplinary teams. Highlighting your communication skills will also help us see how you can contribute to our dynamic environment.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the easiest way for us to receive your materials and ensures you’re considered for this exciting opportunity. We can’t wait to see what you bring to the table!
How to prepare for a job interview at University of Oxford
✨Know Your Stuff
Make sure you brush up on your knowledge of epidemiology and health data sciences. Familiarise yourself with the OMOP Common Data Model and be ready to discuss how you've used R for statistical analyses in your previous work.
✨Showcase Your Experience
Prepare specific examples from your past roles that highlight your experience with biostatistics, programming in R, and writing scientific documents. This will help demonstrate your fit for the role and your ability to contribute to publications and reports.
✨Team Player Vibes
Since this role involves working within multi-disciplinary teams, be ready to talk about your teamwork experiences. Share examples of how you've collaborated effectively with others and how you handle challenges in a team setting.
✨Ask Smart Questions
At the end of the interview, don’t forget to ask insightful questions about the research group’s current projects or future directions. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
