Pangaea Data is Attending the JPM Healthcare Conference

JAMIA Publication:The Potential and Pitfalls of using a LLM as a Clinical Assistant

Full Steam Ahead: How AI Can Transform the Genetics Journey in Precision Medicine

Pangaea Data Selected for NVIDIA & Microsoft’s New AI Initiative

From Thin Ice to Solid Ground: How AI is Changing Clinical Practice for the Better

About Pangaea Data

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).

The Role

As a Clinical 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.

Key Responsibilities

Requirements

Personal Traits

Educational background and technical skills:

Nice to Have:

Perks and Benefits

Application Contact Information

Please send your latest CV/resume along with a cover letter outlining your relevant experience and interest in the opportunity to careers@pangaeadata.ai

General Information

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.