✦ Luna Orbit — Data & Analytics

Principal Research Scientist II - Data Architecture, Biotherapeutics and Genetic Medicine

at AbbVie

📍 Worcester, MA Hybrid Posted March 13, 2026
Type Full-Time
Experience senior
Exp. Years 8+ years
Education BS, MS, or PhD in computer science, data science, computational biology, computational chemistry, computational biophysics, or related field
Category Data & Analytics

Lead the development of a cloud-native data platform supporting AI/ML initiatives in biotherapeutics and genetic medicine. Collaborate across research, engineering, and leadership to enable data-driven drug discovery.

  • Drive data platform vision
  • Define data models and architectures
  • Collaborate with lab and ML teams
  • Implement FAIR data principles
  • Ensure data governance and scalability

Focus on data modeling, scalable data pipelines, cloud-native architectures, AI/ML integration, and data governance within biotech research environments.

The ideal candidate is a senior data architect with extensive experience in designing enterprise data platforms, data modeling, and implementing AI/ML solutions in biotech or pharma settings. They possess strong leadership skills and cross-functional collaboration experience.

Data modelingData architectureData pipelinesAIMachine LearningData governanceCloud-native architecturesPythonSQL
Generative AIPredictive modelingLab automation workflowsData stewardshipData-as-a-product
Cloud platformsLab automation toolsKubernetesAWSAzureGCP
Data architectureData modelingData pipelinesAIMachine LearningData governanceCloud-native architecturesPythonSQL
Data modelingData architectureData pipelinesAIMachine LearningMLData governanceCloud-native architecturesScalable data platformData integrationData storage solutionsPythonSQLCloud platformsFAIR data principles
LeadershipCross-functional collaborationStrategic thinkingCommunicationProblem-solving
Industry Healthcare IT, Biotech, Pharma
Job Function Design and implement enterprise data architecture for biotech research and AI/ML applications
Data architectureData modelingData pipelinesAIMachine LearningMLData governanceCloud-native architecturesPythonSQLData integrationData storage solutionsScalable data platformFAIR data principlesCross-functional collaborationLab automation workflows

Lack of experience in data architecture, No experience with cloud platforms, No background in biotech or pharma data

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