Senior Data Scientist | Knowledge Graph

Innovative Biopharmaceutical Leader

Intelletec is seeking a Sr. Data Scientist to lead the development of an Enterprise Knowledge Graph for a partner in the biopharmaceutical industry. As a machine learning and natural language processing expert, you will have the opportunity to work on exciting challenges in automated knowledge base construction, including information extraction, entity resolution, graph-based embedding/prediction, search, and visualization.

This role is Hybrid in NYC or Boston, MA only.


  • Lead the development of an authoritative knowledge base to capture information
  • Serve as the architect of the Knowledge Graph Engineering and provide the vision and direction for a scalable, distributed, monitored, and query-able Knowledge Graph
  • Design innovative strategies to improve the experience across various stakeholders and use cases
  • Create new solutions at the intersection of multiple fields, including Machine Learning, Big Data, Knowledge Graphs, and Analytics


  • Master’s degree or Ph.D. in computer science, machine learning, data science or related fields with knowledge of knowledge representation
  • Proficiency in Python and fundamental software engineering principles and NLP/machine learning design patterns
  • Strong skills in relational databases including database design, modeling, SQL, and stored procedures
  • Experience with Big Data processing and technologies such as Snowflake, Databricks, Hadoop, Spark, and Kafka
  • Strong problem-solving skills, business acumen, and excellent oral and written communication skills

Desired Skills:

  • Experience with knowledge graph stores (Stardog, TigerGraph, Ontotext GraphDB, Neo4j) and semantic technology (OWL, RDF, SWRL, SPARQL, JSON-LD)
  • Familiarity with biomedical terminology and ontologies (e.g. UMLS Metathesaurus, OMIM) and biomedical datasets such as DrugBank, GO
  • Entrepreneurial or intrapreneurial experience leading the creation of a new product and organization
  • Experience with at least 10+ terabyte datasets
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