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Biomedical Analyst

Preference for Location: London
Number of vacancies: 3

About Pangaea Data Limited

Pangaea Data provides a novel AI driven product, which has clinically proven to characterize patients in a federated privacy preserving and scalable manner. For example, Pangaea helped characterize cachexia in cancer patients, which led to the discovery of 6x more undiagnosed, miscoded and at risk cachectic cancer patients with 95% accuracy with the potential to save £1billion annually and improving outcomes. Additionally, US based healthcare systems have applied Pangaea to measure health inequity across the US through characterization of patients and their journeys based on tumour genomic testing results, demographics and social indicators from patient records. Clinicians at pharmaceutical companies are applying Pangaea to discover new clinically actionable insights which have helped them find new drug targets, define new end points for clinical trials, understand relationships between drugs and adverse events, find more patients for clinical trials and during the launch of new therapies. The founders (Dr. Vibhor Gupta and Prof. Yike Guo) are based between South San Francisco and London and have attracted $200 million through their research. 

Role Description and Responsibilities

As a Biomedical Analyst, you will closely collaborate with colleagues on the clinical and technical teams, supporting product configuration based on scientific and clinical understanding of the objectives and validating outputs. Additionally you will have an external facing aspect of the role focused on researching and producing customer deliverables. Technical knowledge of machine learning methods and predictive modeling is not mandatory but it’s critical that you have interest in understanding the approach adopted to apply these methods, which is directly dependent on the clinical and scientific objectives.

Key Responsibilities:

  • Proactive and logical thinker with the ability to handle multiple priorities
  • Participating in customer conversations and producing project specific deliverables, such as customer presentations and project documentation, hence strong writing and presentation skills are required
  • Applying knowledge and understanding of scientific writing to produce written pieces for publication in peer reviewed journals
  • Validating outputs, providing feedback on performance and performing error analysis
  • Communicating with internal stakeholders (such as the technical team, senior clinical advisors and marketing team) about clinical objectives, algorithm design, clinical feedback and written narratives for publication
  • Ensuring that the high-level company vision and goals are reflected in ongoing product design, clinical feedback collection, and client communication

Mandatory Requirements

Personal Traits:

  • Proactive and logical thinker with the ability to handle multiple priorities
  • Strong interpersonal  skills, with the ability to engage with all levels of the organization (especially the front line with clinicians and scientists)
  • Ability to work collaboratively in a team environment
  • Ability to communicate complex ideas effectively, to a variety of audiences, both verbally and in writing
  • Quick learner, able to adapt to new tasks and project requirements 

Technical Skills:

  • University qualification (Bachelors, Masters, Doctorate) who have completed at least two years of university study in Life Science, Medicine, Biomedical Informatics, or relatedRelevant work experience, including internships, full time industry/academia experience.
  • Strong understanding of the scientific method
  • A strong background with expertise in Life Science, Medicine or Biomedicine to support the transformation of client requirements to product configuration and delivery
  • Strong scientific writing skills with experience in writing or contributing to published scientific articles
  • Strong presentation skills to clearly and confidently communicate with customers,  clinicians and scientists

Nice to Have:

  • Experience (classroom/room) on general programming languages: Python, C++, Java, etc.
  • Knowledge or experience (classroom/work) in AI, NLP
  • Relevant work experience, including internships, full time industry/academia experience
  • Experience with research communities and/or efforts, including having published papers (being listed as author) at biomedical conferences and journals

Additional Information

If you are eager to apply the skills and knowledge that you have developed in academia/industry outside of the lab and research environment and develop your commercial and business management skills, this is the position for you. Please note that this is not a biomedical research role, nor does it include any laboratory work.

This position will be highly visible to senior management within our company and at our customer organizations.

Your application should be in English and include a cover letter no longer than a single side of A4, highlighting your relevant experiences, motivations for applying and fit for the role along with your CV.Please send your latest resume along with a cover letter to

This is a full time role however part-time can be discussed depending on the candidates availability

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

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.