About Pangaea Data Limited

Pangaea Data provides a novel AI-driven product, which has clinically proven to characterize patients in a 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 misdiagnosed 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. 

The Role

Pangaea is looking for a talented engineer to join its founding technical team to develop and productise cutting-edge NLP algorithms in Pangaea’s core product platform. A strong software engineering background, knowledge and skills on Machine Learning especially Natural Language Processing are essential. This role is open to both junior and experienced professionals.

Key Responsibilities

Technical Responsibilities:

• Understand requirements of Pangaea’s product and solutions.
• Maintain and implement product roadmap according to the requirements.
• Design and adopt cutting-edge NLP algorithms to address real-world challenges such as intelligence extraction and prediction.
• Productise, develop, optimise and deploy NLP algorithms, supportive modules (such as architects, data processors, APIs) and other features in Pangaea’s product.
• Adopt approaches which maximise the value to the end user, while minimise technical complexity.
• Prioritise tasks in weekly or bi-weekly sprint planning sessions to make sure we are regularly delivering small improvements, rather than only focusing on big feature releases.
• Monitor the impact of new features and releases of products, to determine if they achieved the goals set out for them at the start.
• Publish original research and engineering work at conferences and 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 seeing.
• Clearly communicate our roadmap and product changes in advance of their launch.
• Run early rounds of internal feedback gathering, before we launch to users.
• Understand how our internal tooling can be improved for internal users.
• Understand the high-level company vision and goals, and make sure these are reflected in ongoing product development.

As an NLP engineer, you will be involved in product decisions and coordination between teams that go into the above process.​

Requirements

Technical Skills:

• With university qualification (Bachelors, Masters, Doctorate) who have completed at least two years of university study in Computer Science, Informatics, Data Science, Engineering, or related.
• Experience (classroom/work) in Machine learning, Natural Language Processing, Algorithmic Foundations of Optimization, Data Science, Data Mining and/or Bioinformatics.
• Experience 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-learn.
• Experience with working in Linux.

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 software engineering background with machine learning expertise to understand how the user facing product will tie into backend and architectural decisions. ​

Nice to Have:

• Experience in building commercial software systems.
• 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 Platform.
• Experience 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 journals.

Perks and Benefits

• Flexible working hours.
• 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.

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.

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.