About Aptura AI
We work with leading AI labs and companies across healthcare, finance, and legal providing the specialist knowledge and human oversight that makes AI platforms more accurate and reliable in these highly regulated domains.
In healthcare, we work with companies that are looking to train and fine-tune their AI models before being deployed into the real-world. Our expertise is helping companies design and build the evaluation frameworks, to assess the clinical accuracy and performance of these platforms. We specialise in sourcing clinicians (experts) and annotating medical data at scale that is used to train the models such as labelling and reviewing consultation notes, medical images or pathology reports.
The projects we manage tend to sit at the heart of how AI learns to understand real clinical interactions from consultations, workflows, and the delivery of care that directly affects both clinicians and patients. Our strength is end-to-end project management, from sourcing the right clinician all the way through to ensuring the final output meets the clinical standards required. Projects we have been involved in, include SNOMED Medical Coding for Medical Device Registration, AI powered MDT platforms and AI-assisted Clinical Trials Recruitment.
We're a small, in-person team based in London. We move quickly, hold ourselves to a high standard, and expect every individual to contribute directly.
About the role
This is a generalist operational role as well as being the first hire in the healthcare team so naturally comes with a lot of responsibility and growth opportunities.
A core focus of this role is to bring your clinical background and creativity to grow our network of healthcare professionals looking to advance AI in healthcare through short term, remote, flexible AI projects. This is coupled to helping design, manage and deliver projects across multiple clinical domains. This means getting involved in the initial customer conversations to sourcing the right clinicians and creating project specific resources. You will be responsible for onboarding clinicians, processing payments on a weekly basis, maintaining their engagement alongside offering a white glove service for our customers.
This role carries genuine breadth and real ownership from day one with the unique opportunity to work directly with some of the world’s leading AI labs. You will work directly with the Head of Healthcare, Dr Abdul Rahyead (former NHS doctor and ex-founder).
Key responsibilities
Community Building: Growing the healthcare expert network, handling onboarding, maintaining timely communications and payouts for experts. Exploring creative ways to engage more clinicians through hackathons, platforms and IRL events
Business Development: Support commercial and partnership activities, including setting up GTM motions and outreach initiatives
Client Management: Manage the full lifecycle of healthcare customer relationships, from onboarding, contracting and project delivery
Project Management: Support end-to-end project delivery, including expert engagement, manage quality assurance (QA) and review processes to ensure outputs from experts meet the required clinical standards and accuracy required to train AI models safely
Operations: Streamline and improve existing processes for experts (sourcing, onboarding, communications, payouts) and projects (resources, time-tracking, milestones, review processes) to ensure we remain lean and can manage multiple projects in parallel without compromising on the quality
Essential requirements
Qualified healthcare professional with a minimum of 2 years clinical experience (NHS)
Strong organisation skills with the ability to manage multiple projects at the same time and competing priorities
Ability to context-switch between clinicians, customers, projects and operational responsibilities without losing pace or attention to details
A proactive, self-directed working style, comfortable operating in an environment where the processes are still being defined and the playbook is being written in real-time
Strong written and verbal communication skills
Able to deliver and work in time-constrained environments
Desirable attributes
Previously worked at a startup, scale-up or similarly high-paced setting
Familiarity with data annotation/labelling, designing and developing evals for AI models
Experience in a client-facing, commercial or business development role
Experimented with setting up personal or company related AI workflows and automations
