Biomedical Scientist

About Pangaea Data Limited

 ​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 recent $110 million grant focused on development work on large language models in medicine. Pangaea’s product platform enables financially sustainable and scalable collaborations between the healthcare and pharmaceutical industries to help find more undiagnosed and miscoded patients across 7,000 hard-to-diagnose conditions. 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). Pangaea was recognized as ‘Digital Solution of the Year’ 2023 by the UK government and awarded top tier co-sell partnership status by Microsoft, which is exclusive to only 25 of the 30,000 companies Microsoft works with globally. 

Role Description and Responsibilities

As a Biomedical Scientist, you will play a pivotal role in bridging clinical and technical teams, with a focus on undiagnosed patients, precision medicine and opportunities to leverage knowledge and experience in Medical Genetics/Genomics. This is an external-facing role, where your primary responsibilities will be to research and produce deliverables focusing on the leveraging of EHR data to discover more untreated patients across rare and hard-to-diagnose conditions, ultimately improving healthcare outcomes. You will translate scientific research and concepts into presentations, whitepapers, publications, and posters, as well as managing ongoing projects. Your scientific and clinical understanding of project objectives will additionally help support product configuration. While technical expertise in machine learning and predictive modeling is not required, it is critical that you develop a strong understanding of the methods used and how they align with each project’s clinical and scientific objectives.

Key Responsibilities:

• Project Management & Deliverables: Lead the creation of project-specific deliverables, including presentations, whitepapers, and documentation, tailored to customer needs.
• Scientific Writing & Publication: Utilize your scientific and clinical expertise to produce high-quality written content for peer-reviewed journals and other publications.
• Client & Internal Communication: Collaborate with internal stakeholders (technical teams, clinicians, marketing) to ensure clinical objectives are met and that company goals are reflected in product design and client interactions.
• Output Validation & Feedback: Validate project outputs, conduct error analysis, and provide constructive feedback to improve performance.
• Support Product Configuration: Apply your clinical understanding to assist in the configuration and alignment of products with client requirements.

Mandatory Requirements

Personal Traits:

• Ability to prioritize and manage multiple tasks effectively. 
• Strong interpersonal skills with the ability to engage and collaborate with individuals across all levels of the organization.
• Ability to convey complex ideas clearly to a variety of audiences, both verbally and in writing.
• Quick to learn and adjust to new tasks and evolving project requirements.

Technical Skills:

• Bachelors, Masters, or Doctorate degree with at least two years of university study in Life Science, Medicine, Biomedical Informatics, Genetic Counseling or related fields.
• Relevant work experience, including internships, industry or academia experience.
• Familiarity with both common and rare diseases and an understanding of the patient journey (from initial symptoms and risk factors to diagnosis, treatment, and clinical trials).
• Deep knowledge of Life Sciences, Medicine, or Biomedicine enabling you to translate client needs into effective product solutions and delivery. 
• Proven ability in scientific writing or contributing to published scientific articles.
• Confidence and clarity in communicating with customers, clinicians and scientists. 

Nice to Have:

• An understanding of precision medicine approaches, including genetic/genomic testing in cancer and rare diseases.
• Experience using EHR systems (e.g. Epic, Cerner) at the point of care.
• Experience with research communities and/or efforts, including having published papers (being listed as an author) at biomedical conferences and journals.
• Experience (classroom/work) with general programming languages: Python, C++, Java, etc.
• Knowledge or experience (classroom/work) in AI and NLP.

Additional Information

This role is ideal for individuals looking to apply their academic, clinical or industry expertise in a dynamic environment that focuses on commercial and business development rather than laboratory research. Please note that this is not a biomedical research role, nor does it include any laboratory work.

Application Process

Please send a cover letter highlighting your relevant experiences, motivations for applying, and fit for the role, along with your CV to careers@www.pangaeadata.ai

Perks and Benefits

• Flexible working hours.
• Salary dependent on experience.
• Benefits include 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.

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.