Wearable Data Research Assistant - Sleep & Activity Studies

Wearable Data Research Assistant - Sleep & Activity Studies

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 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, particularly in the dynamic field of wearable data research. Located in the vibrant city of Oxford, we offer a unique chance to contribute to impactful health studies while enjoying a stimulating academic environment.

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

Tip Number 1

Get to know the research team and their work! Before your interview, check out their recent publications and projects. This will not only help you understand their focus but also give you some great talking points to impress them.

Tip Number 2

Practice your interpersonal skills! Since you'll be interacting with participants and PPI groups, it’s crucial to show that you can communicate effectively. Try role-playing with a friend or family member to build your confidence.

Tip Number 3

Be ready to discuss your experience with data collection and analysis. Think of specific examples from your studies or previous roles where you’ve successfully handled similar tasks. This will show you’re prepared for the hands-on aspects of the job.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to engage directly with us.

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

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

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 experience you have with data collection and analysis. We love seeing examples of how you've tackled similar challenges in the past!

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

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 interviewers that you're genuinely interested and knowledgeable about the field.

Show Off Your Interpersonal Skills

Since this role involves close interaction with participants, be ready to demonstrate your strong interpersonal skills. Think of examples from your past experiences where you've successfully engaged with people, whether in a research setting or otherwise. This will help them see how you'd fit into their team.

Prepare Questions

Interviews are a two-way street! Prepare thoughtful questions about the research projects, participant recruitment strategies, and the team's goals. This not only shows your enthusiasm but also helps you gauge if the role is right for you.

Practice Makes Perfect

Run through common interview questions related to research methodologies and data analysis. Practising your responses can help you articulate your thoughts clearly during the interview. Consider doing mock interviews with friends or mentors to build your confidence.