Staff Data Engineer

Role Summary

Staff Data Engineer responsible for applying advanced analytics across clinical development, partnering with Data Scientists and Data Engineers to build and deploy scalable machine learning pipelines, and establishing standards and best practices to ensure consistency.

Responsibilities

• Collaborates with Data Scientists and cross-functional data stewards to identify appropriate data sources and enable streamlined data flow for Data Science and Analytics across clinical development and R&D.
• Collaborates across R&D functional areas to link data and key learnings for broad impact on complex, cross-functional projects involving multiple scientific and/or clinical disciplines and Advanced Analytics methodologies.
• Defines best practices and standards for the development of data products and service processes which perform data transformation, metadata extraction, workload management and error processing management.
• Guides the implementation of standardized, automated operational and quality control processes to deliver accurate and timely data and reporting.
• Leads functional process improvement initiatives and ‚Äúlessons learned‚Äù events.
• Contributes to the technology strategy and catalyzes the discovery and understanding of new tools and techniques, and drives improvements to the data pipeline.
• Employs sophisticated analytics programs, machine learning and statistical methods to prepare data for use in predictive and prescriptive modeling and other analytics capabilities.
• Develops solutions to improve data reliability, efficiency and quality; collaborates with IT and identifies opportunities to future-proof the Analytics infrastructure and influence future technology investments.
• Ensures adherence to federal and local regulations, GCPs, ICH Guidelines, AbbVie SOPs, and functional quality standards; stays abreast of evolving regulations and policies related to clinical development.
• Responsible for coaching and mentoring junior team members; may include indirect supervision of employees and contract staff.

Qualifications

• MS or PhD in statistics, mathematics, computer science or other quantitative disciplines with 6+ years of experience
• Experience with Informatica tools (PowerCenter, Big Data Management, Master Data Management), MarkLogic, SAS Analytics, Python, R, SQL, and AWS preferred
• Proficiency with one or more general purpose programming languages, including Java, Python, Scala, C, C++, C#, Swift/Objective C, or JavaScript
• End-to-end experience with data, including querying, aggregation, analysis, and visualization; fluency in both structured and unstructured data (SQL, NoSQL) preferred
• Good communication and presentation skills; able to explain complex problems and solutions to a nontechnical audience
• Ability to effectively interact and influence all levels of management in a cross-functional setting
• Biotech/Pharma experience is a plus
• Experience with Docker, Kubernetes ecosystem, Elasticsearch, etc. is a plus
• Proven leadership traits with ability to lead and inspire staff, and to influence others without direct authority

Skills

• Data engineering
• Machine learning pipelines
• Data governance and quality control
• Regulatory compliance (GCP, ICH, SOPs)
• Communication and stakeholder management

Education

• MS or PhD in a quantitative discipline (statistics, mathematics, computer science, etc.)

Additional Requirements

• This is a remote opportunity that can be hired anywhere in the US