Pangaea Data (Pangaea) is a South San Francisco and London based business founded by Dr Vibhor Gupta and Prof Yike Guo (Director Data Science Institute at Imperial College London; Provost, Hong Kong University of Science and Technology). They have worked in medicine and computing for over 20 years and have raised over $300 million through their academic research, including a $110 million grant focused on development work on large language models in medicine. Pangaea’s AI platform is configured on clinical guidelines to find more untreated (undiagnosed, miscoded, at-risk) and under-treated patients with hard-to-diagnose conditions for screening and treatment at the point of care. Pangaea’s advisors include industry veterans from healthcare and the life sciences, including Lord David Prior (former chairman, NHS England) and Mr. Andy Palmer (former CIO, Novartis).
As a Clinician Scientist, you will closely collaborate with other colleagues to support algorithm design hence knowledge in life science and biomedicine is critical. In addition, knowledge of NLP and AI will help you understand the product better.
- Communicate and collaborate with customers (including pharmaceutical companies and healthcare providers) to understand their needs and painpoints.
- Analyze clinical/biomedical data from clients and partners to gain insights to support NLP algorithm design.
- Analyze data output of algorithms and products and provide feedback to improve their clinical validity, interpretability, and generalizability.
- Design and develop internal tools to automate collection of clinical feedback for algorithms and products.
- Communicate with internal stakeholders (such as the technical team, senior clinical advisors, and marketing team) about clinical objectives, algorithm design and clinical feedback.
- Run early rounds of internal feedback gathering, before launching to users.
- Understand the high-level company vision and goals, and make sure these are reflected in ongoing algorithm design, clinical feedback collection, and client communication.
- Review clinically relevant documents (e.g. clinical guidelines, peer reviewed publications, other medical and scientific literature, deidentified patient data), formalize them into deliverables (for customers, colleagues, partners and public audiences, who may or may not have clinical expertise), and provide feedback to other team members.
Personal Traits
- A strong background with expertise in Life Science, Medicine or Biomedicine to support the transformation of client requirements to algorithm design.
- An enthusiasm for leveraging clinical data and AI approaches to close the gaps faced by real-world patients in their healthcare journeys.
- A strong intuition for what makes products a joy to use.
- Understanding of different user requirements and how to effectively serve the differing needs of customers through one platform.
- Strong written and verbal communication skills.
- Strong interpersonal skills and the ability to engage all levels of the organization (especially the front line).
- Ability to work collaboratively in a team environment.
Educational background and technical skills:
- Medical degree (M.D., D.O, MBBS or equivalent) is required.
- Appropriate certification relevant to level of clinical training (e.g., Board certification for physicians).
- Strong writing and presentation skills.
Nice to Have:
- Relevant work experience, including internships, full or part time clinical, academia, or industry experience.
- Experience with research and medical communities and/or efforts, including having published papers (being listed as co-author) in peer-reviewed journals and/or presented posters/talks at biomedical conferences.
- Private medical insurance, life insurance and travel cards.
- You would join a small, dedicated and fast-growing team.
- You will have the opportunity to learn about building a startup business from experienced professionals and serial entrepreneurs.
- We are currently supported by serial entrepreneurs and angel investors. You will have the opportunity to experience an investment life cycle for a startup and meet leading venture capitalists.
Please send your latest CV/resume along with a cover letter outlining your relevant experience and interest in the opportunity to [email protected]
Pangaea Data’s headquarters is in London (UK) with teams in San Francisco (US) and Hong Kong. For more information please visit www.pangaeadata.ai.
Pangaea Data is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.
