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- Tasks: Join us as an AI & Digital Health Fellow, supporting clinical discussions and creating impactful materials.
- Company: Skin Analytics is a pioneering health tech company focused on revolutionising skin cancer diagnosis with AI.
- Benefits: Flexible working options available; gain hands-on experience in a cutting-edge digital health environment.
- Why this job: Be part of a mission-driven team aiming to eliminate skin cancer deaths through innovative technology.
- Qualifications: Medical degree and 2 years post-qualification experience required; passion for digital health is essential.
- Other info: Diversity and inclusion are core values; we welcome applicants from all backgrounds.
The predicted salary is between 36000 - 60000 £ per year.
Want to join a team of passionate people who want to build a future where no one dies from skin cancer?
About us
Skin Analytics is an award-winning health tech company that has launched the world's first AI-supported Skin Cancer pathway for a faster skin cancer diagnosis. We are the first company to receive NICE approval for an autonomous AI medical device to be used across the NHS, and it is deployed in more than 25 NHS organisations and growing. Additionally, we collaborate with some of the largest health insurers to reach patients in their own homes. We recently raised a £15M series B funding round, and after receiving our Class III EU MDR certification, we are ready to scale internationally.
About The Role
We are excited to offer this role as a 12-month fellowship, designed to offer exposure to a range of different functions within the business, primarily the clinical and commercial teams. We believe that the best way for digital health technologies to succeed is by taking clinicians on the journey with us and building trust and confidence. We are looking for a trusted, assertive and resourceful person to help us across a range of activities including supporting clinical discussions with prospective and current partners, creating materials to share with the clinical community highlighting the safety and efficacy of DERM and post market surveillance.
We are seeking candidates who strongly believe in AIaMD technology within healthcare and are looking to forge a career in digital health. In addition to believing that DHTs can support clinical care, this individual is eager to be involved in spreading the adoption of these technologies in real-life settings. We recognise the value in digital health clinicians continuing to practice front-line medicine and would be happy to consider candidates on either a full-time or 4-day per working week basis. Unfortunately, we will not be able to consider candidates who cannot commit to this.
Responsibilities
- Supporting current and future deployments of our AI as a Medical Device DERM.
- Work with our Business Development team to help clinical teams in prospective partner organisations in the NHS, Private Medical Insurance and across Europe to understand the evidence base and pathways involving DERM.
- Work with our Partnerships team to help clinical teams in established partner sites to understand the local performance of DERM and the pathway.
- Work with our Marketing team to create materials to help our various audiences to understand who we are and what we do.
- Supporting the clinical evaluation of our AI Medical Device.
- Supporting efforts to complete Post-Market Surveillance activities in line with our regulatory responsibilities as a medical device manufacturer.
- Helping to identify new questions and structuring the analysis to enable us to make data-driven decisions to improve our products and pathways.
- Collecting, structuring and analysing histology, teledermatology service and user feedback data from our live deployments.
- Supporting the dissemination of results.
- Work with Clinical & Research teams to identify opportunities for publication and generate manuscripts in line with journal requirements.
- Present, or support other members of the team to present, research results at internal meetings and external conference presentations.
Requirements
Essential
- Medical Degree, GMC registration and 2 years of post-qualification clinical experience.
- Committed to forging a career in Digital Health.
- Excellent communication skills - written, verbal and presentation.
- Comfortable with basic medical statistics (e.g. Sensitivity/Specificity/PPV/NPV etc).
- An analytical/methodical approach to problem-solving.
- Ability to prioritise and switch between detail-focused and high-level work tasks as appropriate.
Nice to have
- Clinical experience in skin cancer pathways, e.g. through roles in Dermatology, Plastics or GP.
- Experience in medical education - teaching +/- writing copy to educate medical and non-medical audiences.
- Basic understanding of regulatory and clinical risk management landscape for clinical software and medical devices and/or experience working with medical devices.
- Publication history including first author publications and/or presentations at conferences.
- Experience with data management, for example using Excel, R or SQL.
Skin Analytics manufactures medical devices and complies with ISO standards 13485 and 27001. As part of your employment, you will be assigned Quality Management System (QMS) and Information Security Management System (ISMS) training. We require that our employees agree to complete their assigned training and to diligently follow all company quality management and information security processes.
Diversity & inclusion
We encourage people from all walks of life to apply and strive to eliminate unconscious bias in our recruitment process. We do not discriminate on ethnicity, religion, sexual orientation, gender identity, veteran or parental status or disability. We encourage candidates from underrepresented groups to apply. If you need adjustments made to our application process, to help accommodate any disabilities, please do let us know. Skin Analytics runs a Diversity & Inclusion program with ambassadors working closely with all employees.
If this sounds like the sort of environment for you then we'd love to hear from you.
AI & Digital Health Fellow employer: Skin Analytics
Contact Detail:
Skin Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI & Digital Health Fellow
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and digital health, particularly in skin cancer diagnostics. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Network with professionals in the digital health space, especially those involved in AI medical devices. Attend relevant conferences or webinars to connect with potential colleagues and learn more about the industry.
✨Tip Number 3
Prepare to discuss how your clinical experience can contribute to the role. Think of specific examples where you've used analytical skills or worked collaboratively with teams to improve patient outcomes.
✨Tip Number 4
Showcase your passion for digital health by engaging with online communities or writing articles on platforms like LinkedIn. This can help you stand out as a candidate who is proactive and committed to the field.
We think you need these skills to ace AI & Digital Health Fellow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in digital health and AI technologies. Emphasise any clinical experience, especially in dermatology or skin cancer pathways, as well as your communication skills.
Craft a Compelling Cover Letter: In your cover letter, express your passion for digital health and AI. Discuss why you want to work with Skin Analytics specifically and how your background aligns with their mission to improve skin cancer diagnosis.
Showcase Your Analytical Skills: Since the role requires an analytical approach, include examples of how you've used data to make decisions or improve processes in previous roles. Mention any experience with medical statistics or data management tools.
Highlight Your Commitment to Diversity: Skin Analytics values diversity and inclusion. If applicable, share experiences that demonstrate your commitment to these principles, whether through previous roles, volunteer work, or personal initiatives.
How to prepare for a job interview at Skin Analytics
✨Understand the Company’s Mission
Before your interview, make sure you fully grasp Skin Analytics' mission to combat skin cancer using AI. Familiarise yourself with their products and recent achievements, such as their NICE approval and international scaling plans. This will show your genuine interest in the role and alignment with their goals.
✨Prepare for Clinical Discussions
Given that the role involves supporting clinical discussions, brush up on your communication skills and be ready to discuss how AI can enhance clinical pathways. Think of examples from your experience where you've successfully communicated complex medical information to non-medical audiences.
✨Showcase Your Analytical Skills
The position requires an analytical approach to problem-solving. Be prepared to discuss your experience with data analysis, particularly in a clinical context. Highlight any familiarity with medical statistics and how you've used data to drive decisions in your previous roles.
✨Demonstrate Passion for Digital Health
Express your enthusiasm for digital health technologies and their potential impact on patient care. Share any relevant experiences or projects that illustrate your commitment to this field, and be ready to discuss how you envision contributing to the adoption of these technologies in real-life settings.
