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About the Role

This research scientist role supports and advances the clinical evaluation of AI Medical Devices. You will be responsible for designing and delivering regulatory and technical documentation throughout the AI product lifecycle, including literature searches and clinical investigations. Additionally, you will manage scientific communication and dissemination.

Responsibilities

• Build the evidence base for new and updated AI medical devices by designing evidence generation activities to address identified research questions.
• Contribute to the strategic and timely delivery of all clinical investigation activities, from design to dissemination.
• Conduct State-of-the-Art (SOTA) literature reviews and meta-analyses to contextualize product safety and performance.
• Support the development of Clinical Evaluation Plans (CEPs) and Clinical Study Reports (CSRs) to support regulatory submissions in Europe, the US and other geographies.
• Write and maintain Clinical Evaluation Reports (CERs) in accordance with EU MDR and global regulatory frameworks.
• Collaborate with Regulatory and Product teams to provide timely and accurate technical documentation for pre- and post-market submissions.
• Support publication of clinical study and real world data in peer-reviewed journals and at international conferences (abstracts, posters, presentations).
• Develop evidence summaries, scientific claims documents, and clinical value narratives tailored to clinicians, patients, regulators and payers.

Requirements

• Advanced degree in a relevant field (e.g., Medical Doctor, PhD, or Master’s in Life Sciences, Biomedical Engineering, Statistics, or Public Health).
• Experience in medical writing (e.g., peer-reviewed publications), ideally in the clinical evaluation of AI medical devices.
• Ability to manage multiple projects with competing deadlines without compromising on standards.
• Excellent communication skills with the ability to articulate complex scientific concepts clearly.
• Strong attention to detail, analytical mindset, and a proactive approach to problem-solving.
• Experience conducting and publishing systematic reviews and meta-analyses.
• Proficiency with reference management tools (e.g., EndNote, Mendeley) and document collaboration platforms (e.g., Google Suite).
• Knowledge of statistical methods and principles commonly applied in clinical research and regulatory documentation.

Skills

• Medical writing
• Clinical evaluation of AI medical devices
• Project management
• Communication
• Attention to detail
• Analytical mindset
• Problem-solving
• Systematic reviews
• Meta-analyses
• Reference management tools
• Document collaboration platforms
• Statistical methods
• Statistical programming
• Data analysis tools
• Regulatory and quality management standards

Location

• London

Work Type

• Hybrid
• Full-time
• Contract

Experience Level

• Scientific Postdocs
• Medical Doctors
• Individuals with experience in the evaluation of AI Medical Devices

Education Level

• Advanced degree in relevant field
• Medical Doctor
• PhD
• Master’s in Life Sciences
• Master’s in Biomedical Engineering
• Master’s in Statistics
• Master’s in Public Health

Salary/Compensations

• Competitive salary

Benefits

• Competitive salary
• Share options package
• Private healthcare
• Company pension incl. salary sacrifice options
• 25 days annual leave + 5 day company shutdown in August + bank holidays
• Enhanced parental leave
• Yellownest Salary Sacrifice Nursery Scheme
• Bike to work scheme
• Training budget
• Weekly catch-ups
• Monthly meetings focused on development
• Fun social activities

About the Company

• Skin Analytics is an award-winning, health tech company that deploys world-leading skin cancer pathways using AI as a medical device, DERM.
• Following recent £15M series B funding, regulatory milestones, and headcount growth, the company is scaling internationally.
• The company is proud to epitomise AI for good, with DERM being the only AI as a medical device approved to make clinical decisions autonomously in the cancer space and the first company to receive a NICE recommendation for use across the NHS.
• DERM is deployed at over 28 NHS organisations, enabling quicker patient access to skin cancer diagnosis.
• The company collaborates with large health insurers to reach patients in their own homes.
• The team is mission-driven to build a future where no one dies from skin cancer.

Equal Opportunity

• Skin Analytics embraces and is committed to diversity and equal opportunities.
• The company is dedicated to building a team that represents a variety of backgrounds, perspectives, and skills.
• Inclusivity is valued for improving work.
• Adjustments can be requested during the hiring process.
• AI is used in the hiring process, but all AI-generated summaries, screening results, or notes are reviewed and verified by a human recruiter, with humans making the final hiring decisions.