AI Clinical Product Researcher in London

AI Clinical Product Researcher in London

London Full-Time 35000 - 45000 € / year (est.) No home office possible
Odin Vision an Olympus Company

At a Glance

  • Tasks: Support clinical research for AI medical devices, including data collection and analysis.
  • Company: Join an award-winning company revolutionising healthcare with AI technology.
  • Benefits: Competitive salary, hybrid work, travel opportunities, and a focus on diversity.
  • Other info: Dynamic team environment with opportunities for growth and innovation.
  • Why this job: Make a real impact in healthcare while working with cutting-edge AI solutions.
  • Qualifications: Degree in biomedical or scientific field and experience in clinical research.

The predicted salary is between 35000 - 45000 € per year.

Odin Vision is a multi-award-winning company that provides state-of-the-art AI-enabled software applications for endoscopic procedures. These applications aid clinicians in the detection and diagnosis of disease, supporting higher quality care, improved patient outcomes, and better value for healthcare payers. We are looking for a full-time AI Clinical Product Researcher to support the execution of clinical research activities that inform AI medical device product development, clinical performance validation, and regulatory evidence generation. The role contributes to the generation of high-quality clinical evidence by supporting study execution, data collection, analysis, and documentation under the guidance of senior team members. This full-time hybrid role requires national and international travel (UK, EU, & US) and attendance at live endoscopy procedures. Salary range - £35-45K

Key Responsibilities

  • Clinical Research Support & Execution: Support the execution of clinical research activities for AI-based medical devices, including real-world performance evaluations, usability/human factors engineering, literature reviews, pilot studies, and clinical investigations. Assist in the preparation and maintenance of research protocols, analysis plans, study documentation and logs. Conduct clinical data collection, cleaning, and analysis in line with approved study plans. Monitor study progress and elevate issues, deviations, or risks to senior team members as appropriate.
  • Evidence Generation & Documentation: Contribute to the preparation of research reports, literature reviews, and supporting documentation. Ensure research outputs are accurate, well-documented, and aligned with regulatory and internal quality expectations. Contribute content to clinical evaluation documentation and other regulatory-facing materials under guidance from senior team members.
  • Cross-Functional Collaboration: Collaborate with internal teams, including Clinical Research, Human Factors, AI Software Engineering, AI Medical Devices, AI Product, and AI Research & Data Science. Provide structured clinical input and observations to senior team members to inform product design and development discussions. Participate in cross-functional meetings as required to support assigned research activities.
  • Stakeholder & Site Support: Support interactions with clinical investigators, trial sites, CROs, and other external research partners. Participate in site visits, user observations, and data collection activities as required. Gather structured clinician and user feedback to inform clinical research and product improvement. Conduct training and onboarding activities related to the use of AI-based medical devices in clinical research settings. Ensure that activities conducted with KOLs and research sites are within the contractual scope and are documented in accordance with internal processes.
  • Quality, Compliance & Best Practice: Conduct all activities in accordance with internal policies, external regulations, and ethical standards, and report deviations to senior leadership. Maintain accurate, complete, and up-to-date study documentation. Support ethical approval applications and amendments under guidance from senior team members. Contribute to continuous improvement initiatives by providing feedback on processes, templates, and tools used in clinical research execution.

Qualifications

  • Undergraduate degree (or equivalent) in a biomedical, scientific, or statistical discipline.
  • Good Clinical Practice Certification.

Experience

Essential:

  • Minimum two years’ experience supporting clinical research activities.
  • Experience contributing to clinical study execution, data collection and analysis, and study documentation and reporting.
  • Working knowledge of clinical research methodologies.
  • Experience working within cross-functional teams.

Desirable:

  • Working knowledge of FDA, EU MDR and UKCA clinical evidence requirements, ISO 14155, GDPR, and research governance frameworks.
  • Experience supporting evaluations of medical devices and/or Software as a Medical Device.
  • Exposure to AI-based medical device evaluation.
  • Experience supporting multi-region or global clinical studies.
  • Exposure to endoscopy or related procedural specialities.

At Odin Vision we believe that diversity is an important contributor to our success and long-term company goals. Diversity in our teams can contribute to innovations and creativity and increase our ability to cope with change. Odin Vision is committed to encouraging equality, diversity and inclusion among our workforce, and eliminating unlawful discrimination. The aim is for our workforce to be truly representative of all sections of society and our customers, and for each employee to feel respected and able to give their best.

AI Clinical Product Researcher in London employer: Odin Vision an Olympus Company

Odin Vision is an exceptional employer that champions innovation and inclusivity in the healthcare technology sector. With a commitment to employee growth, we offer opportunities for professional development through cross-functional collaboration and exposure to cutting-edge AI medical devices. Our hybrid work model, combined with a supportive culture that values diversity, ensures that every team member can thrive while contributing to meaningful advancements in patient care.

Odin Vision an Olympus Company

Contact Detail:

Odin Vision an Olympus Company Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Clinical Product Researcher in London

Tip Number 1

Network like a pro! Reach out to professionals in the AI and clinical research fields on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. We all know that sometimes it’s not just what you know, but who you know!

Tip Number 2

Prepare for those interviews! Research Odin Vision thoroughly—know their products, values, and recent news. We want to see your passion for AI in healthcare shine through. Practice common interview questions and think about how your experience aligns with the role of an AI Clinical Product Researcher.

Tip Number 3

Showcase your skills! Bring a portfolio or examples of your previous work related to clinical research. Whether it’s data analysis or documentation, we love seeing tangible evidence of your expertise. It’s all about making a strong impression!

Tip Number 4

Don’t forget to follow up! After your interview, send a thank-you email to express your appreciation for the opportunity. It’s a great way to reiterate your interest in the position and keep you fresh in their minds. And remember, apply through our website for the best chance!

We think you need these skills to ace AI Clinical Product Researcher in London

Clinical Research Support
Data Collection and Analysis
Study Documentation and Reporting
Good Clinical Practice Certification
Knowledge of FDA, EU MDR and UKCA Requirements
ISO 14155
GDPR Compliance

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the AI Clinical Product Researcher role. Highlight relevant experience in clinical research, data collection, and any work with AI or medical devices. We want to see how your background aligns with what we do!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI in healthcare and how your skills can contribute to our mission at Odin Vision. Keep it concise but impactful – we love a good story!

Showcase Your Team Spirit:Collaboration is key in our work environment. In your application, mention experiences where you’ve worked in cross-functional teams or supported others in achieving common goals. We’re all about teamwork here at StudySmarter!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about who we are and what we do!

How to prepare for a job interview at Odin Vision an Olympus Company

Know Your Stuff

Make sure you brush up on the latest trends in AI and clinical research. Familiarise yourself with Odin Vision's products and how they impact endoscopic procedures. Being able to discuss specific applications and their benefits will show your genuine interest and expertise.

Prepare for Practical Scenarios

Expect to be asked about real-world applications of your research skills. Think of examples from your past experiences where you've successfully executed clinical studies or collaborated with cross-functional teams. Be ready to explain your thought process and how you overcame challenges.

Show Your Collaborative Spirit

This role involves working closely with various teams, so highlight your teamwork skills. Share instances where you've effectively communicated with different stakeholders or contributed to a project that required input from multiple disciplines. This will demonstrate your ability to fit into their collaborative culture.

Ask Insightful Questions

Prepare thoughtful questions about the company's future projects, their approach to clinical evidence generation, or how they ensure compliance with regulations. This not only shows your enthusiasm but also helps you gauge if the company aligns with your career goals.