Research and develop cutting edge Machine Learning & Natural Language Processing methodologies to find more untreated patients
London Technical
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 RolePangaea Data is looking for a skilled AI engineer to join its growing technical team to develop and productize cutting-edge AI algorithms for Pangaea's core AI platform, PALLUX.
This role requires a strong foundation in software engineering, and expertise in Machine Learning (ML), including Natural Language Processing (NLP).
This role is an excellent opportunity for an individual who is passionate about innovation and eager to be part of a fast-paced environment that encourages continuous learning and growth.
Key ResponsibilitiesTechnical Responsibilities: Collaborate with internal clinicians and project stakeholders to understand the clinical and healthcare challenges that Pangaea Data can address through its PALLUX platform and solutionsMaintain and implement the product roadmap according to respective requirementsDesign and adopt cutting-edge ML and NLP algorithms to address real-world challenges such as intelligence extraction and inferenceProductize, develop, optimize and deploy ML and NLP algorithms, supportive modules (such as architects, data processors, APIs) and other features in PALLUXAdopt approaches which maximise the value to the end user, while minimizing the technical complexityPrioritize tasks in weekly or bi-weekly sprint planning sessions to make sure regular delivery of small improvements, rather than only focusing on big feature releasesMonitor the impact of new features and releases of products, to determine if they achieved their initial goalsPublish original research and engineering work at conferences and in journals
This role will also work closely with internal teams to: Understand the users they engage with and the problems, pain points and requests they are seeingClearly communicate our roadmap and product changes in advance of their launchRun early rounds of internal feedback gathering, before we launch to usersUnderstand how our internal tooling can be improved for internal usersUnderstand the high-level company vision and goals, and make sure these are reflected in ongoing product development.As an AI Engineer, you will be involved in product decisions and coordination between teams that go into the above process.
RequirementsTechnical Skills: University qualification (Bachelors, Masters, Doctorate) with at least two years of university study in Computer Science, Informatics, Data Science, Engineering, or relatedExperience (classroom/work) in Machine learning, Natural Language Processing, Algorithmic Foundations of Optimization, Data Science, Data Mining and/or BioinformaticsExperience with database systems such as SQL, MongoDBExperience on general programming languages: Python, C++, Java, etc.Experience with deep learning, machine learning and NLP frameworks such as PyTorch (or TensorFlow), HuggingFace Transformer, Scikit-learnExperience with working in LinuxA strong intuition for what makes products a joy to useEmpathy 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 productStrong communication and mediation skillsStrong 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 writingA strong software engineering background with machine learning expertise to understand how the user facing product will tie into backend and architectural decisionsNice to Have: Experience in building commercial software systems using object oriented programming (OOP)Relevant work experience, including internships, full time industry experience or as a researcher in a lab.Experience with cloud platforms such as AWS, Azure, Google Cloud PlatformExperience with research communities and/or efforts, including having published papers (being listed as author) at AI/ML/NLP/CV conferences (e.g.
NeuraIPS, ICML, ICLR, ACL, EMNLP, NAACL, CVPR, KDD, etc.)
and biomedical journalsPerks and BenefitsSalary 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.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.
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