At a Glance
- Tasks: Conduct impactful research on health data, focusing on COVID-19 recovery and patient outcomes.
- Company: Join a leading health research team at the Bennett Institute, known for high-impact studies.
- Benefits: Flexible working hours, remote options, and a chance to contribute to open science.
- Other info: Diverse team culture with opportunities for professional growth and development.
- Why this job: Make a real difference in health research while collaborating with diverse experts.
- Qualifications: Experience in health data science and a passion for open research practices.
The predicted salary is between 37000 - 46000 £ per year.
We are recruiting a new Epidemiologist/Health Data Scientist to work in our OpenSAFELY platform, currently running across the full electronic health records of 59 million patients. You will also be helping to lead a new way of delivering health data science. OpenSAFELY is a highly secure, modular, open source data analysis platform, combining best practice from both academia and the open source software community.
You will initially conduct research evaluating the impact of COVID-19 on recovering patients and the health service. The Bennett Institute is a mixed team of clinicians, software developers, policy experts, and traditional academic researchers, all pooling skills and knowledge. We have a strong track record of delivering high impact research in Nature, Lancet and BMJ; real-world impact on policy and clinical practice; and high impact services such as OpenSAFELY, OpenPrescribing and TrialsTracker.
Our mission is to create a modern, open, collaborative ecosystem for health research. We do this by shipping code, delivering papers, building capacity, and advocating for new ways of working. We aim to lead by example: recurring tasks are turned into packages and libraries; all code is shared openly for review and re-use; analyses are delivered in Jupyter notebooks for others to read, evaluate, re-purpose, and learn with.
We want to meet outstanding researchers who share this vision and have, or can rapidly develop, the skills needed to deliver it with us. We are particularly interested in researchers who will contribute to our open science community-building work, our codebase, our open teaching resources, or our policy work.
You will report to one of our Senior Researchers. You can read more at www.bennett.ox.ac.uk and OpenSAFELY.org. We are actively seeking to increase our team’s diversity and welcome applications from those in under-represented groups.
You will be based in the Nuffield Department of Primary Care Health Sciences, Radcliffe Primary Care Building, Woodstock Road, Oxford, OX2 6GG as your normal place of work, but you will be able to agree a pattern of regular remote working with your line manager. The position is offered full-time or part-time (minimum 28 hours per week – working pattern negotiable) and is funded by NHS England, until 31st October 2026 in the first instance.
For further information or to discuss the post please contact Pete Stokes (pete.stokes@phc.ox.ac.uk).
You will be required to upload a CV and Supporting Statement as part of your online application. The Supporting Statement should include a cover letter and should also clearly describe how you meet each of the selection criteria listed in the job description.
The closing date for applications is 12:00 noon on 24 April 2024.
Epidemiologist / Health Data Scientist in Oxford employer: University of Oxford
The Bennett Institute offers a dynamic and collaborative work environment where innovative health research thrives. As part of the OpenSAFELY platform, you will engage with a diverse team of experts dedicated to impactful research that shapes health policy and practice. With flexible working arrangements and a commitment to diversity, this role provides an excellent opportunity for professional growth in a leading institution located in the heart of Oxford.
StudySmarter Expert Advice🤫
We think this is how you could land Epidemiologist / Health Data Scientist in Oxford
✨Tip Number 1
Network like a pro! Reach out to folks in the health data science community, especially those connected to OpenSAFELY. Attend relevant webinars or meetups and don’t be shy about introducing yourself – you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with data analysis, especially if it relates to health research. Use platforms like GitHub to share your code and analyses, making it easy for potential employers to see what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of current health data issues, particularly around COVID-19. Be ready to discuss how your skills align with the mission of OpenSAFELY and how you can contribute to their open science community.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Tailor your CV and supporting statement to highlight your experience and passion for health data science, and make sure to address the selection criteria directly.
We think you need these skills to ace Epidemiologist / Health Data Scientist in Oxford
Some tips for your application 🫡
Craft a Compelling CV:Your CV is your first impression, so make it count! Highlight your relevant experience in epidemiology and health data science, and don’t forget to showcase any projects that align with our mission at StudySmarter.
Nail the Supporting Statement:This is your chance to shine! Make sure to include a cover letter and clearly address how you meet each selection criterion. We want to see your passion for open science and collaboration, so let that enthusiasm come through!
Showcase Your Skills:We’re looking for researchers who can contribute to our open science community. Mention any coding skills, experience with Jupyter notebooks, or contributions to open-source projects. This will help us see how you can fit into our team!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the easiest way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at University of Oxford
✨Know Your Data
As an Epidemiologist/Health Data Scientist, you’ll be working with vast amounts of health data. Brush up on your knowledge of data analysis techniques and be ready to discuss how you've applied them in past projects. Familiarise yourself with the OpenSAFELY platform and think about how you can contribute to its development.
✨Showcase Your Collaborative Spirit
This role involves working with a diverse team of clinicians, developers, and researchers. Be prepared to share examples of how you've successfully collaborated in multidisciplinary teams. Highlight your ability to communicate complex ideas clearly and your enthusiasm for open science and community-building.
✨Prepare Your Supporting Statement
Your CV is just the start; the Supporting Statement is your chance to shine. Make sure it clearly addresses each selection criterion in the job description. Use specific examples from your experience that demonstrate your skills and alignment with their mission of modern, open, collaborative health research.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the team’s current projects, the impact of COVID-19 research, or how they envision the future of health data science. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
