Senior Scientist, Data Architect

Job Details

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 *** .
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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 drugs in clinical trials, and improving production of our biological drugs.

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 high-paced and multi-disciplined environment across geographic locations.

Responsibilities:

• Design and develop scalable and efficient omics data storage platforms to accommodate large-scale 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 up-to-date 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.
  

• Degree in computer science, bioinformatics, or a related field.
  BS with typically 10-12+years experience,MS with typically 8-10+ years experience, or Ph.D.
  with typically 0-4+ years experience.
  
• Demonstratedexperience 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 cloud-based 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.
  
• In-depth 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 cross-functional 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.
  

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

• The compensation range described below is the range of possible base pay compensation that the Company believes ingood faith it will pay for this role at the time of this postingbased on the job grade for this position.
  Individualcompensation paid within this range will depend on many factors including geographic location, and we may ultimatelypay more orless 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/visioninsurance and 401(k) to eligible employees.
  
• This job is eligible to participate in our short-term incentive programs.
  
• This job may be eligible to participate in our long-term incentive programs.