Research Project Assistant in Oxford

Research Project Assistant in Oxford

Oxford Entry level 28000 - 35000 £ / year (est.) No working from home possible
University of Oxford

At a Glance

  • Tasks: Assist in collecting and analysing large-scale wearable sensor datasets.
  • Company: Join the world-leading Oxford Population Health team at the University of Oxford.
  • Benefits: Gain hands-on research experience and contribute to impactful health studies.
  • Other info: Exciting opportunities for participant recruitment and career growth in a dynamic environment.
  • Why this job: Make a difference in health research while working with cutting-edge technology.
  • Qualifications: BSc in health sciences or related field; strong interpersonal skills required.

The predicted salary is between 28000 - 35000 £ 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.

Research Project Assistant 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 numerous training opportunities and the chance to contribute to groundbreaking research that impacts global health. Located in the vibrant city of Oxford, our team enjoys a supportive environment where meaningful work meets academic excellence, making it an ideal place for those passionate about advancing health sciences.

University of Oxford

Contact Details:

University of Oxford Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Research Project Assistant in Oxford

Tip Number 1

Network like a pro! Reach out to people in your field, especially those connected to Oxford Population Health. A friendly chat can open doors and give you insights that a job description just can't.

Tip Number 2

Prepare for interviews by brushing up on your knowledge of wearable sensors and data analysis. We want to see your passion for the subject, so be ready to discuss how your background fits into the role!

Tip Number 3

Show off your interpersonal skills! During interviews or networking events, demonstrate your ability to connect with others. Remember, this role involves working closely with participants, so let your personality shine through.

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 Research Project Assistant in Oxford

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 your relevant experience in health sciences or related fields. We want to see how your background aligns with the role of a research project assistant, so don’t be shy about showcasing your skills!

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

Showcase Your Research Experience:If you've worked on any projects involving data collection or analysis, make sure to mention them! We love seeing candidates who have hands-on experience, especially in clinical trials or similar settings.

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 keep track of all the amazing candidates like you!

How to prepare for a job interview at University of Oxford

Know Your Stuff

Make sure you brush up on the specifics of wearable sensor datasets and their applications in health sciences. Familiarise yourself with the types of data you'll be working with, like polysomnography and accelerometer data, so you can speak confidently about them during the interview.

Show Off Your Interpersonal Skills

Since this role involves close interaction with research participants, it's crucial to demonstrate your strong interpersonal skills. Think of examples from your past experiences where you've successfully engaged with participants or worked in a team setting, and be ready to share those stories.

Research the Organisation

Dive into the work being done at the Nuffield Department of Population Health. Understanding their current projects and how they align with your interests will not only impress the interviewers but also help you articulate why you're a great fit for their team.

Prepare Questions

Have a few thoughtful questions ready to ask at the end of the interview. This shows your genuine interest in the role and the organisation. You might want to ask about the specific studies you'll be involved in or how the team collaborates on data collection and analysis.