At a Glance
- Tasks: Support research in epidemiology and health data sciences using real-world data.
- Company: Join the prestigious University of Oxford's Botnar Research Centre.
- Benefits: Gain valuable experience, work with experts, and contribute to impactful research.
- Other info: Full-time, fixed-term role for 2 years with opportunities for career growth.
- 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.
Research Assistant in Epidemiology and Health Data Sciences in Oxford 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 thrives. As a Research Assistant in Epidemiology and Health Data Sciences, you will have access to cutting-edge research opportunities, professional development, and the chance to contribute to impactful studies that shape healthcare practices globally. Located in the historic city of Oxford, employees benefit from a rich academic culture, networking opportunities, and a commitment to fostering a diverse and inclusive workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Research Assistant in Epidemiology and Health Data Sciences in Oxford
✨Tip Number 1
Network like a pro! Reach out to your connections in the field of epidemiology and health data sciences. Attend relevant events or webinars, and don’t be shy about introducing yourself to people who work at the Nuffield Department or similar institutions.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your experience with R and any relevant projects you've worked on. This can really help you stand out during interviews and discussions.
✨Tip Number 3
Practice makes perfect! Get comfortable discussing your research experience and how it relates to the role. Mock interviews with friends or mentors can help you articulate your thoughts clearly and confidently.
✨Tip Number 4
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 apply directly.
We think you need these skills to ace Research Assistant in Epidemiology and Health Data Sciences in Oxford
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 love collaboration at StudySmarter! Make sure to mention any experiences where you’ve successfully worked in 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 keep track of your application. Plus, it shows you’re keen on joining our team!
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 in biostatistics, programming in R, and writing scientific documents. Be ready to explain how these experiences make you a great fit for the role.
✨Team Player Vibes
Since this role involves working within multi-disciplinary teams, think of instances where you've successfully collaborated with others. Highlight your communication skills and how you contribute to a positive team dynamic.
✨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.
