Senior Scientist Data Architect

AbbVies Genomics Research Center (GRC) is a center of excellence for genetics and genomics that supports the R&D pipeline from Discovery through Development. The GRC goal is to develop world class genetics and genomics research focused on finding the right therapeutic targets helping AbbVie scientists better understand human disease biology understanding the behavior and response to our in clinical trials and improving production of our biological .

We are seeking a talented and highly motivated Senior Scientist Data Architect to join the GRCs Bioinformatics Engineering (BE) team. This position will support the GRCs strategy of maximizing the value of our data through the development of scalable data storage and management solutions. Strong communication and teamwork skills are essential as the candidate is expected to operate in a highpaced and multidisciplined environment across geographic locations.

Responsibilities:

• Design and develop scalable and efficient omics data storage platforms to accommodate largescale bioinformatics data.
• Collaborate with bioinformatics engineers and scientists to understand data requirements and develop loading processes for newly generated omics data.
• Build robust and secure APIs to facilitate data access retrieval and integration across different bioinformatics applications.
• Optimize the performance of data storage and retrieval operations to ensure quick and accurate access to omics data.
• Implement data governance and security measures to maintain data integrity and assure stakeholder access.
• Stay uptodate with emerging technologies and industry trends in bioinformatics and data architecture to drive innovation and improve data management processes.
• Provide technical leadership and guidance to junior data architects and developers in the team.
• Collaborate with other Bioinformatics Engineering sub teams to identify and address data integration and interoperability challenges.
• Conduct performance analysis and troubleshooting to identify bottlenecks and implement solutions for improved system performance.
• Collaborate with data scientists and analysts to develop data models and structures that enable effective data analysis and interpretation.

Qualifications :

• Degree in computer science bioinformatics or a related field. BS with typically 1012 years experience MS with typically 810 years experience or Ph.D. with typically 04 years experience.
• Demonstrated experience in the pharmaceutical industry or related field.
• Extensive experience in designing and implementing scalable and efficient data management platforms for bioinformatics data.
• Demonstrated expertise with AWS services such as S3 EC2 RDS RedShift Athena.
• Expert knowledge of bioinformatics data including omics data types and formats.
• Proficiency in programming languages such as Python Java or R and extensive experience with database technologies such as SQL NoSQL and cloudbased storage solutions.
• Ability to design and build efficient data flows including extraction transformation and loading (ETL) processes to ensure seamless integration and movement of bioinformatics data across different systems and platforms.
• Experience leveraging distributed computing systems like Apache Spark.
• Demonstrated ability to build and maintain APIs for data access retrieval and integration.
• Comprehensive understanding of data governance and security measures to ensure data integrity and stakeholder access.
• Indepth knowledge of emerging technologies and trends in bioinformatics and data architecture.
• Ability to provide technical leadership and guidance to Bioinformatics Engineering team members and Bioinformatics partners.
• Excellent collaboration and communication skills to work effectively with bioinformatics engineers scientists and crossfunctional teams including IT resource providers.
• Proven ability to identify and address data integration and interoperability challenges.
• Experience in performance analysis troubleshooting and implementing solutions to improve system performance.
• Ability to collaborate with data scientists and analysts to develop effective data models and structures for analysis and interpretation.

Preferred:

• Experience administering highperformance computing (HPC) resources.
• Knowledge of machine learning and data mining techniques for bioinformatics data analysis.

Position will be hired based on level of experience. 
Senior Scientist I / Senior Data Architect I or Senior Scientist II / Senior Data Architect II

Additional Information :

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

• 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 shortterm incentive programs. 

• This job may be eligible to participate in our longterm incentive programs. 

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 Companys sole and absolute discretion unless and until paid and may be modified at the Companys 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 and serving our community. Equal Opportunity Employer/Veterans/Disabled. 

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