Clinician Scientist

As a Clinician Scientist, you will work closely with customers and the technical team to provide clinical feedback and support algorithm design.

London South San Francisco USA - Remote Clinical & Scientific

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, PALLUX, 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 pain points.
• 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
  
  Fürcolleagues, partners and public audiences, who may or may not have clinical expertise), and provide feedback to other team members.

• 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.