Job Description

To deliver on our mission of improving healthcare access and quality, we are looking for an experienced Knowledge Graph Data Scientist to join our small, fast-growing team. The Knowledge Graph Data Scientist serves on a project team that leverages our industry-leading healthcare data to deliver clinical insights in engagements with healthcare providers and Life Sciences Companies. In this role, he/she will be part of an agile data science team, with the excitement, pace, and development opportunities that come with working in an early-stage company. Position Responsibilities: You will be part of a high-impact team leveraging and optimising a Knowledge Graph (KG) based on Mango s proprietary healthcare data. Develop, incorporate, and refine all parts of the KG-related pipeline knowledge storage and representation, relevant data sources, visualisation tools, embeddings, and clinical prediction models. Utilise the latest techniques to generate robust embeddings and apply deep/machine learning in the context of KG s. Contribute to problem solving discussions by clearly defining the issues and offering solutions. Provide timely updates to the management and leadership teams. Position Requirements: A degree in Data Science, Computer Science, Statistics, or a related field of study. 3-5 years of KG-specific work experience, demonstrated to be: An experienced practitioner of machine learning in the context of KG s. Up to date with recent developments in machine learning (ML) and are familiar with current trends in the wider ML community and KG s. Strong scripting and programming skills in Python (required) and at least one KG industry standard, e.g., SPARQL. Experience with KG platform and graph database management tools, e.g., Neo4j. Healthcare industry knowledge (medical and pharmaceutical) is preferred. Experience in building models from scratch and working with structured and unstructured data. Excellent communication (written and verbal), interpersonal skills, and the ability to foster collective partnerships. Other Skills: Dedication to teamwork with a demonstrated ability to collaborate across functions. Track record of innovation with the vision and entrepreneurial spirit to take on a key role in a small, fast-growing company.

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