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5 часов назад

Associate Scientist, Data II (Knowledge Graph Engineering)

65 500 - 125 500$
Формат работы
onsite
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Associate Scientist, Data II (Knowledge Graph Engineering): Designing and maintaining semantic data infrastructure that connects information across pharmaceutical research domains with an accent on graph modeling, ingestion pipelines, and data quality. Focus on engineering Cypher queries, resolving entities, validating graph structures, and tuning performance across development, validation, and production environments.

Location: Onsite in North Chicago, Illinois, United States

Salary: $65,500–$125,500 per year

Company

hirify.global discovers and delivers innovative medicines and healthcare solutions across areas including immunology, oncology, neuroscience, and aesthetics.

What you will do

  • Design and refine labeled-property and RDF graph models representing entities, relationships, properties, and constraints.
  • Build, test, and maintain batch and incremental ingestion pipelines from relational, document, and file-based sources.
  • Write, optimize, and document Cypher queries for data loading, validation, entity resolution, and downstream retrieval.
  • Implement data quality rules, constraints, entity-resolution checks, and automated tests.
  • Monitor graph performance, tune indexes and queries, and support environment management across development, validation, and production.
  • Collaborate with architects, product owners, analysts, infrastructure teams, service providers, and subject-matter experts while documenting models, lineage, and design decisions.

Requirements

  • Bachelor’s degree with 2 years of experience, or a master’s degree with no additional experience.
  • Exposure to the software development lifecycle, including Git, testing, and basic CI/CD workflows.
  • Exposure to at least one graph database, such as Neo4j, Amazon Neptune, TigerGraph, or an RDF triple store, and its query language.
  • Exposure to data-analysis programming languages such as SQL, Python, Apache Spark, SAS, or R.
  • Experience with structured and unstructured data.

Nice to have

  • Exposure to entity resolution, record linkage, knowledge graph construction, vector databases, embeddings, RAG, or graph-RAG patterns.

Culture & Benefits

  • Paid vacation, holidays, and sick leave.
  • Medical, dental, and vision insurance for eligible employees.
  • 401(k) benefits for eligible employees.
  • Eligibility for short-term incentive programs.

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