Test Engineer / QA Engineer

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.

As a Test/QA Engineer, you need to be able to understand the product and client requirements so as to test the product in extreme scenarios and corner conditions. Knowledge in NLP and AI will help you understand the product better and in turn write better test cases and documentation.

Key technical responsibilities and expectations will include:

• Knowledge of best practices and software testing standards, defect management & reporting, testing concepts and test management tools.
• Performing all aspects of testing including writing test planning documentation, test cases, executing testing tasks, analyzing test results and documenting defects.
• Development of test plans and test strategies, based on high-level requirements or use cases.
• Strong understanding of quality practices and ability to apply proven QA techniques including requirement traceability, boundary value analysis and application stability/usability.

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 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 two years of university study in Computer Science, Informatics, Engineering or related.
• Experience (classroom/work) in testing and quality assurance.
• Experience in CI/CD.
• Experience on general programming languages: Python, C++, Java, etc.
• Experience with working in Linux.

• Experience with deep learning, machine learning and NLP frameworks such as PyTorch (or TensorFlow), HuggingFace Transformer, Scikit-learn.
• 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.

• 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.
• 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.

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

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.