At a Glance
- Tasks: Design and deliver clinical evaluations for AI medical devices in skin cancer.
- Company: Join an award-winning health tech company revolutionising dermatology with AI.
- Benefits: Competitive salary, share options, private healthcare, and generous leave policies.
- Other info: Dynamic team culture with opportunities for professional growth and fun social activities.
- Why this job: Make a real impact in healthcare and help save lives with innovative technology.
- Qualifications: Advanced degree in relevant fields and experience in medical writing preferred.
The predicted salary is between 50000 - 60000 £ per year.
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 are ready to scale further internationally, making history for AI in healthcare and the future of dermatology. We are 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. 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.
Research Scientist – Clinical Evaluation
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 across the AI product lifecycle, including literature searches and clinical investigations. Additionally, you will 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 three 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 literature reviews and meta‑analyses to contextualise 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 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 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) 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
- 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.
- Share options package – all employees have ownership in the company.
- Private healthcare.
- Company pension including salary sacrifice options.
- 25 days annual leave plus 5 day company shutdown in August plus bank holidays.
- Enhanced parental leave – includes adoption and foster.
- Yellownest Salary Sacrifice Nursery Scheme – save with workplace nursery scheme.
- Bike to work scheme.
- Training budget.
- Weekly catch‑ups and monthly meetings to discuss 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.
Equal Opportunity Statement
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
When 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.
Clinical Research Scientist - Medical Affairs employer: Skin Analytics Ltd
At Skin Analytics, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the health tech sector. Our commitment to employee growth is evident through our training budget, regular catch-ups, and a supportive environment that encourages personal and professional development. With competitive salaries, share options, and a range of benefits including private healthcare and enhanced parental leave, we ensure our team feels valued and empowered as we work together to revolutionise skin cancer diagnosis using AI.
StudySmarter Expert Advice🤫
We think this is how you could land Clinical Research Scientist - Medical Affairs
✨Get Involved in Local Research Communities
Tap into local biotechnology meetups and research forums. These are great places to mingle with industry professionals, share your passion, and even discover unadvertised job openings. It's all about getting your face known in the field!
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Curate a portfolio showcasing any research projects or internships you've completed in biotechnology. This tangible evidence of your skills can really impress employers when you chat with them at networking events or interviews. It's about making that killer first impression!
✨Stay Up-to-Date with Industry Trends
Biotech is a fast-paced field, so keeping yourself updated with the latest advancements is crucial. Attend industry conferences, webinars, or workshops to broaden your knowledge and meet potential employers. Plus, it’ll give you fantastic talking points for your interviews at places like Skin Analytics Ltd!
We think you need these skills to ace Clinical Research Scientist - Medical Affairs
Some tips for your application 🫡
Show Off Your Lab Skills:In the biotechnology field, it's super important to highlight your lab experience in your CV. Be sure to mention specific techniques or instruments you've mastered (think PCR, gel electrophoresis, etc.) and any relevant projects you've worked on. This will show Skin Analytics Ltd that you have the hands-on skills they need.
Tailor Your Technical Skills:Make sure to emphasise your technical skills, especially those relevant to the biotechnology sector. Include any software tools or programming languages you've used, like R or Python for data analysis, which could be key for this role at Skin Analytics Ltd.
Craft a Compelling Cover Letter:Since this is a full-time role, your cover letter should reflect not only your passion for biotechnology but also your long-term career ambitions. Share why you're excited about the work that Skin Analytics Ltd does and how you envision contributing to their goals. This shows that you’re not just looking for any job, but you're genuinely invested in this opportunity.
Include Your Papers and Projects:If you've published any papers or contributed to significant projects, mention them! These documents can boost your application and provide tangible evidence of your expertise in the biotechnology field. Don’t forget to link to any relevant publications or project summaries—this can set you apart from other candidates.
How to prepare for a job interview at Skin Analytics Ltd
✨Brush Up on Lab Techniques
Since you're eyeing a full-time gig in biotechnology, make sure you're well-versed in the lab techniques relevant to the role. Be ready to talk about PCR, CRISPR, or any specific methods mentioned in the job description at Skin Analytics Ltd. You might even be asked to demonstrate your understanding of these processes.
✨Know Your Bioinformatics Tools
Get comfortable with bioinformatics tools that are commonly used in the industry, like BLAST or Bioconductor. These are key in biotechnology, and having hands-on experience or at least familiarity can set you apart. Prepare to discuss any relevant projects you've worked on, especially if they involved data analysis or genomic research.
✨Show Your Teamwork Skills
Biotech often involves collaboration across multiple disciplines. Be ready to share stories that highlight your teamwork and communication skills, especially in research projects. Think about working with different teams at university or any internships – this is where you can show how well you fit into Skin Analytics Ltd's culture.
✨Research Recent Biotech Innovations
Stay updated on the latest trends and breakthroughs in biotechnology. Knowing what's happening in the field can help you engage in more meaningful discussions during your interview. Bring up recent articles or advancements that excite you, especially those related to the work being done at Skin Analytics Ltd. This shows your passion for the industry!