At a Glance
- Tasks: Conduct impactful research on health data and evaluate COVID-19 effects on patients.
- Company: Join a leading health research team at the Bennett Institute, known for innovation.
- Benefits: Flexible working hours, remote options, and a chance to shape health policy.
- 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 science.
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 (OpenSAFELY) in Oxford employer: University of Oxford
At the Bennett Institute, we pride ourselves on being an exceptional employer that fosters a collaborative and inclusive work culture. Our team of diverse professionals is dedicated to impactful health research, providing ample opportunities for personal and professional growth while working on cutting-edge projects like OpenSAFELY. Located in the vibrant city of Oxford, we offer flexible working arrangements, a commitment to open science, and the chance to contribute to meaningful advancements in healthcare.
StudySmarter Expert Advice🤫
We think this is how you could land Epidemiologist & Health Data Scientist (OpenSAFELY) 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 health data, especially any projects related to COVID-19 or open-source contributions. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of the OpenSAFELY platform and its impact on health research. Be ready to discuss how your background aligns with their mission and how you can contribute to their collaborative ecosystem.
✨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 about their job search and genuinely interested in joining our team.
We think you need these skills to ace Epidemiologist & Health Data Scientist (OpenSAFELY) 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 and skills that align with the role of Epidemiologist/Health Data Scientist. Keep it clear, concise, and tailored to what we’re looking for.
Nail the Supporting Statement:This is your chance to shine! Use the Supporting Statement to tell us how you meet each selection criterion. Be specific and give examples from your past work that demonstrate your expertise in health data science.
Show Your Passion for Open Science:We love candidates who are enthusiastic about open science! Make sure to express your commitment to collaborative research and how you can contribute to our open science community-building efforts in your application.
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 the role. Plus, it helps us keep everything organised!
How to prepare for a job interview at University of Oxford
✨Know Your Data
Familiarise yourself with the OpenSAFELY platform and its applications. Understand how it integrates electronic health records and the significance of the data you’ll be working with, especially in relation to COVID-19 research.
✨Showcase Your Collaboration Skills
Highlight your experience working in mixed teams, especially with clinicians and software developers. Be ready to discuss how you can contribute to a collaborative environment and share examples of successful teamwork in your past roles.
✨Prepare Your Supporting Statement
Craft a compelling Supporting Statement that clearly addresses each selection criterion. Use specific examples from your experience to demonstrate how you meet these criteria, and don’t forget to express your passion for open science and community-building.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the team’s projects. This shows your genuine interest in the position and helps you understand how you can fit into their mission of delivering impactful health research.
