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Presenting “Automatic Identification of Oncology Patients” at ASCO 2022

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Biomedical Data Analyst

Preference for Location: London or San Francisco
Number of vacancies: 1

About Pangaea Data Limited

Pangaea Data Limited provides a machine learning based software product to its customers from the biopharmaceutical and healthcare industry for faster identification of patient cohorts based on phenotypes (clinical characteristics and symptoms) from electronic health records (EHRs) and unstructured doctors’ notes. This is critical for detecting patients at risk of diseases, finding genes linked to a phenotype in the context of drug or biomarker discovery, recruiting patients for clinical trials, conducting real world evidence (RWE) studies and matching the right patients with the right drugs. The company’s product has demonstrated that it is able to find the right patient cohorts at 50x speed and 30% higher accuracy when compared to alternative methodologies. All such work and metrics are published in high impact peer reviewed journals accessible through https://www.pangaeadata.ai/insights/.

Pangaea is based in San Francisco, London and Hong Kong and was founded by serial entrepreneurs who have raised more than £130 million through their work and is advised by leading experts from industry, Imperial College London and Stanford University. Pangaea’s investors include leading Deep Tech and Life Science funds and serial entrepreneurs who founded several UK and US headquartered unicorns. Pangaea is also selected by the UK Government as a leading digital health innovator.

Role Description and Responsibilities

As a Biomedical Data Analyst, 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:

Technical Responsibilities:

  • Understand the clients in life science (such as biopharmaceutical companies and healthcare providers) they engage with and the problems, pain points and requests they are seeing.
  • Analyse clinical/biomedical data from clients and partners for insights to support NLP algorithms design.
  • Analyse outputs of algorithms and products with feedback to improve the validity, interpretability and generalisability of algorithms and products.
  • 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 we launch 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.

Mandatory Requirements

Technical Skills:

  • With university qualification (Bachelors, Masters, Doctorate) who have completed at least two years of university study in Life Science, Medicine, Biomedical Informatics, or related.
  • Experience (classroom/room) on general programming languages: Python, C++, Java, etc.
  • Strong writing and communication skills.

Personal Traits:

  • A strong intuition for what makes products a joy to use.
  • Empathy for how different users will need different things out of a product at different stages, and how to effectively serve these different needs in one product.
  • Strong communication and mediation skills.
  • Strong people skills and the ability to engage all levels of the organization (especially the front line).
  • Ability to work collaboratively in a team environment.
  • Ability to communicate complex ideas effectively, both verbally and in writing, in English.
  • A strong background with expertise in Life Science, Medicine or Biomedicine to support the transformation of client requirements to algorithm design. ​

Nice to Have:

  • 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.

Application Contact Information

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

Please send your latest resume along with a cover letter to careers@pangaeadata.ai.

Your application should be in English and include a cover letter highlighting your experiences with IT companies, biopharmaceutical companies, healthcare organisations, and research institutions along with your CV.

Perks and Benefits

  • Flexible working hours.
  • Hybrid working from office and home.
  • Salary depending 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.
  • We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. ​

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.