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Our client a a vendor-neutral AI operating layer that plugs into your existing healthcare data and orchestrates workflows is looking for a Consultant- Senior Data Scientist. This is a hands-on, individual contributor role within a small cross-functional team, working closely with graph engineers and machine learning scientists to scale the platform’s knowledge-graph infrastructure.
Key Responsibilities:
Design and implement unified Neo4j property-graph models from heterogeneous healthcare datasets.
Build and enhance ETL pipelines for structured and semi-structured clinical data ingestion.
Develop and maintain Cypher queries and graph algorithms for downstream analytics and AI applications.
Ensure data integrity through quality checks, lineage tracking, and compliance with healthcare data regulations.
Produce clear technical documentation and share implementation best practices with internal teams.
Master’s degree in Computer Science, Biomedical Informatics, Data Science, or a related field.
Minimum 5 years of full-time experience in data science or data engineering roles.
Demonstrated expertise in Neo4j or similar knowledge graph technologies in a production setting.
Strong programming skills in Python and experience with at least one modern ML framework.
Hands-on exposure to healthcare or life sciences datasets.
Excellent written and verbal communication skills; ability to collaborate across global time zones.
Familiarity with clinical terminologies such as FHIR, HL7, SNOMED, ICD-10, etc.
Experience with knowledge-graph embeddings or retrieval-augmented generation (RAG) pipelines.
Prior work in compliance with HIPAA, GDPR, or similar regulatory frameworks.
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5+ years
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As a freelancing platform, we do not provide permanent positions or full-time job to our consultant network.
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We do not charge any fee or commission from you. Your fee quote will be paid out to you in full as per your project contract.
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