At a Glance
- Tasks: Support clinical research for AI medical devices, including data collection and analysis.
- Company: Join Odin Vision, a multi-award-winning company revolutionising healthcare with AI technology.
- Benefits: Competitive salary, hybrid work model, and opportunities for travel and professional growth.
- Why this job: Make a real impact in healthcare by contributing to innovative AI solutions.
- Qualifications: Undergraduate degree in biomedical or scientific discipline and two years of clinical research experience.
- Other info: Diverse and inclusive workplace committed to innovation and creativity.
The predicted salary is between 28000 - 36000 £ 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, study documentation and reporting, and 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 Ltd
Contact Detail:
Odin Vision Ltd 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 and participate in discussions to get your name out there and show your interest.
✨Tip Number 2
Prepare for interviews by brushing up on your knowledge of AI medical devices and clinical research methodologies. We recommend practising common interview questions and having examples ready that showcase your experience.
✨Tip Number 3
Don’t just apply; follow up! After submitting your application through our website, send a friendly email to express your enthusiasm for the role. It shows initiative and keeps you on their radar.
✨Tip Number 4
Showcase your passion for improving patient outcomes. During interviews, share your thoughts on how AI can revolutionise clinical practices. This will demonstrate your commitment to the field and align with our mission at Odin Vision.
We think you need these skills to ace AI Clinical Product Researcher in London
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 analysis, and any exposure to AI-based 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 clinical research and how you can contribute to our mission at Odin Vision. Be sure to mention any specific projects or experiences that relate to the job description.
Showcase Your Team Spirit: Collaboration is key in our work environment. In your application, share examples of how you've successfully worked within cross-functional teams. We love to see candidates who can communicate effectively and support their colleagues!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your documents in one go. Plus, it shows us you’re really interested in joining our team!
How to prepare for a job interview at Odin Vision Ltd
✨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.
✨Showcase Your Team Spirit
Collaboration is key in this role, so highlight your experience working in cross-functional teams. Share stories that demonstrate your ability to communicate effectively with different stakeholders, whether they're clinicians, engineers, or researchers. This will show that you're a team player who can contribute to a diverse environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's future projects, especially regarding AI medical devices and clinical research. This not only shows your enthusiasm but also helps you gauge if the company aligns with your career goals. Plus, it gives you a chance to engage with your interviewers on a deeper level.