Knowledge Graph Engineer #2
Posted on Sep 20, 2024 by AbbVie
North Chicago, IL
Other
Immediate Start
Annual Salary
Full-Time
Job Description
As a Knowledge Graph Engineer, you will perform basic and advanced graph querying, data modeling and graph analytics on the large production knowledge graphs that lie at the heart of the organization’s digital ecosystem. You will also develop production code to support the ingress and egress of data from the knowledge graphs. In addition, you may be tasked with data science and visualization development as needed to support AbbVie’s dynamic research demands.
The Knowledge Graph Engineer will work with the RAIDERS (AI, machine learning) and EPIC (enterprise product incubator) teams. This role is positioned within Information Research to support enterprise products and capability. You will report to the graph work stream lead.
The AbbVie R&D Convergence Hub or “ARCH Graph” is one of the most important components of AbbVie’s R&D digital strategy and brings together over 200 data sources from the biomedical domain. It lies at the core of research and discovery at AbbVie.
AbbVie is nationally recognized for its uniquely supportive and positive culture. At AbbVie you are part of making life better for millions of people that rely on our products and therapies to live better lives. In this role, you will be challenged to develop and support the ARCH knowledge graph that is enabling breakthroughs that will help millions through the development of innovative pharmaceutical treatments across our five therapeutic areas.
Responsibilities:
You will perform large-scale graph analysis using the Neo4j Graph Data Science toolkit
You will develop production-ready Python code to support analytical and production workloads including non-trivial data transformation. This will include working with data from Neo4j and HDFS/Hive via Spark connectors.
You will support other projects related to graph analytics and visualization.
You will also help internal clients understand, explore, and access the graph environment.
You will suggest and implement performance improvements related to Cypher queries and database configuration optimization.
As a Knowledge Graph Engineer, you will perform basic and advanced graph querying, data modeling and graph analytics on the large production knowledge graphs that lie at the heart of the organization’s digital ecosystem. You will also develop production code to support the ingress and egress of data from the knowledge graphs. In addition, you may be tasked with data science and visualization development as needed to support AbbVie’s dynamic research demands.
The Knowledge Graph Engineer will work with the RAIDERS (AI, machine learning) and EPIC (enterprise product incubator) teams. This role is positioned within Information Research to support enterprise products and capability. You will report to the graph work stream lead.
The AbbVie R&D Convergence Hub or “ARCH Graph” is one of the most important components of AbbVie’s R&D digital strategy and brings together over 200 data sources from the biomedical domain. It lies at the core of research and discovery at AbbVie.
AbbVie is nationally recognized for its uniquely supportive and positive culture. At AbbVie you are part of making life better for millions of people that rely on our products and therapies to live better lives. In this role, you will be challenged to develop and support the ARCH knowledge graph that is enabling breakthroughs that will help millions through the development of innovative pharmaceutical treatments across our five therapeutic areas.
Responsibilities:
You will perform large-scale graph analysis using the Neo4j Graph Data Science toolkit
You will develop production-ready Python code to support analytical and production workloads including non-trivial data transformation. This will include working with data from Neo4j and HDFS/Hive via Spark connectors.
You will support other projects related to graph analytics and visualization.
You will also help internal clients understand, explore, and access the graph environment.
You will suggest and implement performance improvements related to Cypher queries and database configuration optimization.
Reference: 202019204
https://jobs.careeraddict.com/post/95467090
Knowledge Graph Engineer #2
Posted on Sep 20, 2024 by AbbVie
North Chicago, IL
Other
Immediate Start
Annual Salary
Full-Time
Job Description
As a Knowledge Graph Engineer, you will perform basic and advanced graph querying, data modeling and graph analytics on the large production knowledge graphs that lie at the heart of the organization’s digital ecosystem. You will also develop production code to support the ingress and egress of data from the knowledge graphs. In addition, you may be tasked with data science and visualization development as needed to support AbbVie’s dynamic research demands.
The Knowledge Graph Engineer will work with the RAIDERS (AI, machine learning) and EPIC (enterprise product incubator) teams. This role is positioned within Information Research to support enterprise products and capability. You will report to the graph work stream lead.
The AbbVie R&D Convergence Hub or “ARCH Graph” is one of the most important components of AbbVie’s R&D digital strategy and brings together over 200 data sources from the biomedical domain. It lies at the core of research and discovery at AbbVie.
AbbVie is nationally recognized for its uniquely supportive and positive culture. At AbbVie you are part of making life better for millions of people that rely on our products and therapies to live better lives. In this role, you will be challenged to develop and support the ARCH knowledge graph that is enabling breakthroughs that will help millions through the development of innovative pharmaceutical treatments across our five therapeutic areas.
Responsibilities:
You will perform large-scale graph analysis using the Neo4j Graph Data Science toolkit
You will develop production-ready Python code to support analytical and production workloads including non-trivial data transformation. This will include working with data from Neo4j and HDFS/Hive via Spark connectors.
You will support other projects related to graph analytics and visualization.
You will also help internal clients understand, explore, and access the graph environment.
You will suggest and implement performance improvements related to Cypher queries and database configuration optimization.
As a Knowledge Graph Engineer, you will perform basic and advanced graph querying, data modeling and graph analytics on the large production knowledge graphs that lie at the heart of the organization’s digital ecosystem. You will also develop production code to support the ingress and egress of data from the knowledge graphs. In addition, you may be tasked with data science and visualization development as needed to support AbbVie’s dynamic research demands.
The Knowledge Graph Engineer will work with the RAIDERS (AI, machine learning) and EPIC (enterprise product incubator) teams. This role is positioned within Information Research to support enterprise products and capability. You will report to the graph work stream lead.
The AbbVie R&D Convergence Hub or “ARCH Graph” is one of the most important components of AbbVie’s R&D digital strategy and brings together over 200 data sources from the biomedical domain. It lies at the core of research and discovery at AbbVie.
AbbVie is nationally recognized for its uniquely supportive and positive culture. At AbbVie you are part of making life better for millions of people that rely on our products and therapies to live better lives. In this role, you will be challenged to develop and support the ARCH knowledge graph that is enabling breakthroughs that will help millions through the development of innovative pharmaceutical treatments across our five therapeutic areas.
Responsibilities:
You will perform large-scale graph analysis using the Neo4j Graph Data Science toolkit
You will develop production-ready Python code to support analytical and production workloads including non-trivial data transformation. This will include working with data from Neo4j and HDFS/Hive via Spark connectors.
You will support other projects related to graph analytics and visualization.
You will also help internal clients understand, explore, and access the graph environment.
You will suggest and implement performance improvements related to Cypher queries and database configuration optimization.
Reference: 202019204
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