Clinical Research Scientist - Medical Affairs

Want to join a team of passionate people who want to build a future where no one dies from skin cancer?

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About us

Skin Analytics is an award-winning, health tech company that deploys world-leading skin cancer pathways using AI as a medical device, DERM.

Following our recent £15M series B funding, regulatory milestones hit, and doubling from 50 to 100 headcount in 2025, we're ready to scale further internationally, making history for AI in healthcare and the future of dermatology.

We're proud to epitomise AI for good - with a Class III CE mark, DERM is the only AI as a medical device approved to make clinical decisions autonomously in the cancer space, as well as being the first company to receive a NICE recommendation for use across the NHS.*

DERM is deployed at more than 28 NHS organisations where we enable patients to gain significantly quicker access to skin cancer diagnosis. If that's not enough, we also collaborate with some of the largest health insurers to reach patients in their own homes.

We are a team of passionate people on a mission to build a future where no one dies from skin cancer.

***This research scientist role supports and advances the clinical evaluation of AI Medical Devices. You would be responsible for the design and delivery of regulatory and technical documentation across the AI product lifecycle, including literature searches and clinical investigations. In addition, you’d also be responsible for scientific communication and dissemination.

We strongly encourage Scientific Postdocs. Medical Doctors and individuals with experience in the evaluation of AI Medical Devices to apply.***

*Please note: we are looking for candidates to be based in and around London and are happy to come to our London office 3 times per week. If you are based outside of London, you must be happy to frequently travel to our office.

If you are an MD looking for a fellowship, or would like a fixed term contract for another reason, let us know as we might be able to support this.*

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.

Required Experience

• Advanced degree in 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 communicate complex scientific concepts clearly.
• Strong attention to detail, analytical mindset and a proactive approach to problem-solving.
• Conduct and publication of systematic reviews and meta-analyses.
• Proficiency with reference management tools (e.g. EndNote, Mendeley, etc) and document collaboration platforms (e.g. Google Suite).
• Knowledge of statistical methods and principles commonly applied in clinical research and regulatory documentation.

Nice to have (but we can teach you)

• Ability to use statistical programming and data analysis tools (e.g. R, Python or Stata).
• Familiarity with global regulatory and quality management standards (e.g. EU MDR, FDA, ISO 13485), possibly evidenced by a relevant certification (e.g. RAPS)
• Medical writing experience - e.g. CERs, CEPs and CSRs

**Benefits**

💰 Competitive salary

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Share options package - all our employees have ownership in the company

🏥 Private healthcare

💸 Company pension incl. salary sacrifice options

🌴 25 days annual leave \+ 5 day company shutdown in August \+ bank holidays

👪 Enhanced parental leave - includes adoption \& foster

🐣 Yellownest Salary Sacrifice Nursery Scheme - save with workplace nursery scheme

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Bike to work scheme

💻 Training budget

🤝 Weekly catch-ups, monthly meetings to talk about you, your ambitions and work on your development

🎊 Lots of fun social activities!

Our Values

🌱 Building a Strong Foundation

🎓 Always Learning

🏅 Lead from the Front

💪 Tough and Resilient

The Real Stuff

Skin Analytics embraces and is committed to diversity and equal opportunities. We are dedicated to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be. If you need any adjustments during our hiring process, you can indicate that at the next step.

AI usage in our hiring process

If you submit an application to us, you will consent to AI playing a role in your hiring process. No hiring decision is ever made by an algorithm alone. Every AI-generated summary, screening result, or note is reviewed, verified, and, if necessary, corrected by a member of our recruitment team. Humans make the final call on who moves forward and who receives an offer.

You can find more information about how we use AI in our hiring process here.