Wearable Data Research Assistant - Sleep & Activity Studies in Oxford

Wearable Data Research Assistant - Sleep & Activity Studies in Oxford

Oxford Entry level 30000 - 40000 £ / year (est.) No working from home possible
University of Oxford

At a Glance

  • Tasks: Assist in collecting and analysing wearable sensor data for sleep and activity studies.
  • Company: Join the Nuffield Department of Population Health at the University of Oxford.
  • Benefits: Gain hands-on research experience and contribute to impactful health studies.
  • Other info: Be part of a world-leading team tackling chronic health conditions.
  • Why this job: Make a difference in health research while working with cutting-edge wearable technology.
  • Qualifications: BSc in health sciences or related field; strong interpersonal skills required.

The predicted salary is between 30000 - 40000 £ per year.

We are looking for a research project assistant to support the collection, preparation, and analysis of new and existing large‑scale wearable sensor datasets. There will be exciting opportunities to recruit participants and support the collection of new wearable camera and accelerometer datasets with accompanying validation measurements of sleep (polysomnography) and activities of daily living (wearable cameras) in both validation and clinical studies.

To be considered you will hold a BSc in health sciences, clinical trials, kinesiology, biomedical engineering or related field and have strong interpersonal skills for close interaction with prospective and current research participants and PPI groups.

Oxford Population Health (Nuffield Department of Population Health, University of Oxford), Old Road Campus, Headington, Oxford, OX3 7LF. The Nuffield Department of Population Health undertakes world‑leading research into long term, chronic health conditions, operating large‑scale long‑term studies and projects to identify the causes, prevention and treatment of diseases that result in avoidable suffering for millions of people around the world.

Wearable Data Research Assistant - Sleep & Activity Studies in Oxford employer: University of Oxford

At the Nuffield Department of Population Health, University of Oxford, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our commitment to employee growth is evident through our support for professional development and research opportunities in a world-renowned institution, located in the vibrant city of Oxford. Join us to contribute to meaningful research that impacts global health while enjoying a supportive environment that values your contributions.

University of Oxford

Contact Details:

University of Oxford Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Wearable Data Research Assistant - Sleep & Activity Studies in Oxford

Tip Number 1

Network like a pro! Reach out to people in the field of health sciences and research. Attend events, join online forums, and connect with professionals on LinkedIn. You never know who might have a lead on your dream job!

Tip Number 2

Show off your skills! Prepare a portfolio or a presentation that highlights your experience with wearable sensors and data analysis. This will give you an edge during interviews and show that you're ready to dive into the role.

Tip Number 3

Practice makes perfect! Conduct mock interviews with friends or mentors. Focus on common questions related to research methodologies and participant interaction. The more comfortable you are, the better you'll perform when it counts.

Tip Number 4

Apply through our website! We love seeing applications directly from candidates who are passionate about our work. Tailor your application to highlight your relevant skills and experiences, and don’t forget to follow up after submitting!

We think you need these skills to ace Wearable Data Research Assistant - Sleep & Activity Studies in Oxford

Data Collection
Data Preparation
Data Analysis
Wearable Sensor Technology
Polysomnography
Interpersonal Skills
Participant Recruitment

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights relevant experience in health sciences or related fields. We want to see how your background aligns with the role, so don’t be shy about showcasing your skills in research and data analysis!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about wearable technology and how your interpersonal skills will help us engage with participants effectively. Keep it personal and engaging!

Showcase Your Research Skills:Since this role involves working with large datasets, make sure to mention any relevant research projects you've been involved in. We love seeing examples of how you've collected, prepared, or analysed data in the past!

Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates!

How to prepare for a job interview at University of Oxford

Know Your Stuff

Make sure you brush up on the latest research in wearable technology and sleep studies. Familiarise yourself with the types of datasets you'll be working with, like polysomnography and accelerometer data. This will show your passion for the field and your readiness to dive into the role.

Show Off Your Interpersonal Skills

Since this role involves close interaction with participants, practice how you communicate your ideas clearly and empathetically. Think about examples from your past experiences where you've successfully engaged with people, especially in a research or clinical setting.

Prepare Questions

Have a few thoughtful questions ready about the research projects and the team dynamics at Oxford Population Health. This not only shows your interest but also helps you gauge if the environment is the right fit for you.

Dress the Part

While it’s important to be comfortable, make sure you dress professionally for the interview. A smart appearance can help create a positive first impression, showing that you take the opportunity seriously and respect the interviewers' time.