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Company Description

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube and LinkedIn.

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.

Qualifications

Required:

• Bachelor's Degree with 6 years’ experience; Master's Degree with 5 years’ experience; PhD with 0 years’ experience.

• Degree in computer science or other relevant technical degree

• Experience with Neo4j and the Cypher query language

• Experience using Neo4j’s Graph Data Science toolkit or an understanding of graph algorithms such as centrality, community detection, node embedding, link prediction, etc.

• An understanding of the computational complexity of graph algorithms

• 3-5 years developing Python code for data science

Preferred:

• Experience in the pharmaceutical or medical domain

• Education in hard sciences

• Neo4j certifications

• Experience with Spark, Cloudera, Hive, AWS

• Development experience with application development with Neo4j as a data source

• Knowledge or experience with Semantic Web Technologies and linked data

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

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• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.​

• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​

• This job is eligible to participate in our short-term incentive programs. ​

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Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives, serving our community and embracing diversity and inclusion. It is AbbVie’s policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, status as a protected veteran, or any other legally protected group status.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html