Full Stack Engineer

Pangaea
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Job Description

The Role

Pangaea is looking for full stack engineers who will closely collaborate with the technical team, clinical team and design team. We need our developers to implement the graphical design for our product so it effectively demonstrates the functions of our research technology in the context of the end user behaviour. You will develop the front-end and/or back-end to support demo presentations and will work closely with researchers.

Key technical responsibilities will include:

  • Communicating with the technical team, design team, clinicians and with customers to understand and formalise requirements.
  • Design, develop, test and maintain the technical development of interactive user interface (UI) and user experience (UX) design of our product.
  • Design, develop, test and maintain back-end modules including database and servers to support the relevant web services.

Requirements

Personal traits:

  • A strong intuition for what makes products a joy to use.
  • 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 software engineering background with testing and quality assurance expertise to understand how the user facing product will tie into backend and architectural decisions. ​

Technical Skills:

  • With university qualification (Bachelors, Masters, Doctorate) who have completed at least three years of university study in Computer Science or related.
  • Experience with full stack programming technology and familiar with major programming language and framework such as JavaScript, Python, databases, HTML, CSS, React, NodeJS and Django.

Nice To Have

  • Experience in building commercial website and software systems.
  • Relevant work experience, including internships, full time industry experience or as a researcher in a lab.
  • A software engineering background and basic knowledge of Machine Learning especially Natural Language Processing.
  • Knowledge of working in AWS, GCP, Azure.

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.

Application Contact Information

Please send your latest cv along with a cover letter and public links to your previous code, packages and/or demos to your full stack development (which do not include any confidential or proprietary information) 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.

Company Info.

Pangaea

Pangaea Data, headquartered in London with additional offices in San Francisco and Hong Kong, is the driving force behind PIES, an AI-powered software product. PIES has demonstrated its remarkable ability to identify six times more suitable patients, including those who are undiagnosed and miscoded. Furthermore, it has enhanced screening success rates by an impressive 400%, while also streamlining the process by saving 90% in time. This efficienc

  • Industry
    Healthcare,Artificial intelligence,Computer software,Natural Language Processing
  • No. of Employees
    19
  • Location
    South San Francisco, CA, USA
  • Website
  • Jobs Posted

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