At a Glance
- Tasks: Analyse real-world data and contribute to innovative health research projects.
- Company: Join the prestigious University of Oxford's Botnar Research Centre.
- Benefits: Gain valuable experience in health data sciences with a competitive salary.
- Other info: Full-time role with excellent career development opportunities in a dynamic research environment.
- Why this job: Make a real impact on healthcare by analysing data that influences treatment decisions.
- Qualifications: BA or MSc in Mathematics, Engineering, or related field; programming skills in R required.
The predicted salary is between 30000 - 40000 £ per year.
We have an exciting opportunity for a Research Assistant in 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 Health Data Sciences you will contribute to the programming of analytical pipelines for the analysis of routinely collected data mapped to the OMOP Common Data Model. You will analyse real world data to address regulatory questions related to the prevalence/incidence of disease, use of medicines/vaccines, and the risks or benefits of medicines/vaccines or devices. You will prepare analytical packages to run a number of pre-specified analyses, contribute to wider project planning, including ideas for new research projects and gather, analyse, and present scientific data from a variety of sources.
You will hold a relevant BA or MSc degree in Mathematics, Engineering, or a related field. Knowledge of medical statistics and experience analysing large datasets, experience in biostatistics and/or health data sciences and experience in the programming of R packages are essential. Experience in propensity scores, overlap weighting, inverse probability weighting and/or similar methods, expertise in pharmaco or vaccine epidemiology and experience of working with electronic medical records/routinely collected data 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.
Health Data Sciences Research Assistant: Real-World Data 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 Health Data Sciences, you will be part of a leading research group dedicated to impactful studies that shape healthcare practices globally. With access to cutting-edge resources and opportunities for professional development, this role not only enhances your analytical skills but also contributes to meaningful advancements in patient care.
StudySmarter Expert Advice🤫
We think this is how you could land Health Data Sciences Research Assistant: Real-World Data
✨Tip Number 1
Network like a pro! Reach out to people in the health data sciences field, especially those connected to the University of Oxford. A friendly chat can open doors and give you insights that might just land you that Research Assistant role.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your programming projects, especially those involving R packages or data analysis. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Practice makes perfect! Brush up on your knowledge of medical statistics and real-world data analysis. Consider doing mock interviews with friends or using online resources to get comfortable discussing your expertise.
✨Tip Number 4
Apply through our website! We make it easy for you to submit your application directly. Don’t forget to tailor your CV and supporting statement to highlight your relevant experience in biostatistics and epidemiology.
We think you need these skills to ace Health Data Sciences Research Assistant: Real-World Data
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience and skills that match the job description. We want to see how your background in Mathematics, Engineering, or related fields aligns with the role of a Research Assistant in Health Data Sciences.
Craft a Compelling Supporting Statement:Your supporting statement is your chance to shine! Use it to explain why you're passionate about health data sciences and how your skills in programming and data analysis can contribute to our research group. Be specific about your experiences!
Showcase Your Technical Skills:Don’t forget to mention your experience with R packages and any knowledge of medical statistics. We’re looking for someone who can handle large datasets and has a solid understanding of epidemiological methods, so make sure to highlight these in your application.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you don’t miss out on any important updates regarding the position. Good luck!
How to prepare for a job interview at University of Oxford
✨Know Your Data
Make sure you brush up on your knowledge of health data sciences and the specific datasets you'll be working with. Familiarise yourself with the OMOP Common Data Model and be ready to discuss how you've used similar models in past projects.
✨Showcase Your Skills
Prepare to demonstrate your programming skills, especially in R. Have examples ready that showcase your experience with analytical pipelines and large datasets. Being able to talk through your thought process will impress the interviewers.
✨Understand the Research Group's Focus
Do some homework on the Pharmaco- and Device epidemiology research group. Understand their current projects and be prepared to discuss how your background aligns with their work. This shows genuine interest and initiative.
✨Prepare Thoughtful Questions
Think of insightful questions to ask at the end of your interview. This could be about the team's future projects or how they measure success in their research. It demonstrates your enthusiasm and helps you gauge if this is the right fit for you.
