At a Glance
- Tasks: Join our team to analyse health data and develop innovative research methodologies.
- Company: Cutting-edge research group at the Botnar Institute, Oxford.
- Benefits: Competitive salary, 38 days leave, pension scheme, and childcare services.
- Other info: Fixed term position with excellent career development opportunities.
- Why this job: Make a real impact in health data sciences and collaborate with leading experts.
- Qualifications: PhD/DPhil in relevant field and experience with health data analysis.
The predicted salary is between 39424 - 43984 € per year.
We have an exciting and unique opportunity for a postdoctoral research assistant to join our Health Data Sciences group investigating the performance of analytical and design methods to minimize bias in pharmaco-epidemiology, comparative safety and effectiveness, and causal inference research. In this role you will analyse OMOP‑mapped real world health data assets following pre‑specified protocols and/or using existing analytical pipelines and adapt existing ones to develop new research methodologies for causal inference and real world evidence generation. You will carry out collaborative projects with colleagues in partner institutions, research groups, and key stakeholders as well as collaborate in the preparation of research publications and book chapters. You will also prepare working theories and analyse qualitative and/or quantitative data from a variety of sources, reviewing and refining theories as appropriate.
Responsibilities and Qualifications
- You will hold a PhD/DPhil (or near completion) in medical statistics, epidemiology, pharmaco‑epidemiology, data science or a related field together with experience in conducting studies using routinely collected health data (RWD).
- You will have the ability to manage your own academic research and associated activities and previous experience of contributing to publications and/or conference presentations.
- You will have demonstrable expertise in the use of R for statistical analysis and the flexibility to learn new skills.
- Experience programming R packages or related analytical code for OMOP‑mapped real world data and of designing, conducting and analysing cohort, case‑control, and similar studies using routinely collected health data is desirable.
- Collaborate on projects and prepare research publications, book chapters and working theories.
- Analyse qualitative and quantitative data, reviewing and refining theories as appropriate.
Employment Details
- Location: Botnar Institute for Musculoskeletal Sciences, Windmill Road, Oxford, OX3 7LD.
- Grade 7: Salary in the range of £39,424‑£43,984 per annum, inclusive of a pensionable Oxford University Weighting of £1,730 per year.
- Full time (100% FTE), fixed term position for 2 years.
Benefits
- An excellent contributory pension scheme
- 38 days annual leave
- A comprehensive range of childcare services
- Family leave schemes
- Cycle loan scheme
- Discounted bus travel and Season Ticket travel loans
- Membership to a variety of social and sports clubs
Postdoctoral Research Assistant in Health Data Sciences employer: University of Oxford
Join our dynamic Health Data Sciences group at the Botnar Institute, where we foster a collaborative and innovative work culture that prioritises employee growth and well-being. With generous benefits including 38 days of annual leave, an excellent pension scheme, and access to childcare services, we are committed to supporting our team both professionally and personally. This role offers a unique opportunity to contribute to impactful research in a vibrant academic environment located in the historic city of Oxford.
StudySmarter Expert Advice🤫
We think this is how you could land Postdoctoral Research Assistant in Health Data Sciences
✨Tip Number 1
Network like a pro! Reach out to colleagues, professors, or anyone in your field. A friendly chat can lead to opportunities you might not find on job boards.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your research projects and any publications. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions related to health data sciences. 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 by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Postdoctoral Research Assistant in Health Data Sciences
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your experience in health data sciences, especially your skills in R and any relevant research methodologies. We want to see how your background aligns with the role, so don’t hold back on showcasing your achievements!
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 expertise in pharmaco-epidemiology can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Collaborative Experience:Since collaboration is key in this role, make sure to mention any past projects where you worked with others, especially in academic settings. Highlighting your teamwork skills will show us that you’re ready to jump into collaborative projects with our partners.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It’s the best way to ensure your application gets to us quickly and efficiently, so don’t miss out on this opportunity!
How to prepare for a job interview at University of Oxford
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of health data sciences, especially regarding OMOP-mapped real-world data. Brush up on your experience with R for statistical analysis and be ready to discuss how you've used it in past projects.
✨Showcase Your Collaborative Spirit
This role involves working with various stakeholders and research groups. Prepare examples of past collaborations where you contributed to publications or presentations. Highlight your ability to work in a team and adapt to different working styles.
✨Prepare for Technical Questions
Expect questions about designing and analysing studies like cohort and case-control studies. Be ready to explain your methodologies and any challenges you faced. Practising these explanations will help you articulate your thought process clearly.
✨Demonstrate Your Flexibility and Learning Ability
The job requires adapting existing analytical pipelines and developing new methodologies. Share instances where you’ve had to learn new skills quickly or adapt to new tools. This shows your willingness to grow and tackle challenges head-on.
