Principal Scientist, DSCS Digital Technologies–Laboratory Automation, Time Series Data Strategy (Hybrid)
Core
Lead strategy, architecture, and delivery for time series data capabilities to integrate hardware, software, and AI-driven tools into connected lab environments for pharmaceutical development.
Role type
Principal Scientist, Time Series Data Strategy & Lab Automation
Builds
Digital and data-rich technologies for chemistry, manufacturing, and controls (CMC) activities across small molecule, biologics, and vaccines portfolios.
Domain
Biopharmaceuticals, Laboratory Automation, Time Series Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Time series data engineering, Laboratory/pilot plant automation, Process informatics (PAT), Data architecture, Solution design for real-time/near-time/post-batch data, Cross-functional project leadership
Preferred skills
Historian platforms, OPC/MQTT standards, GMP-aware system design, Cloud/enterprise data platforms, Python/R/SQL/Databricks
Technologies
OPC, MQTT, Databricks, Python, R Studio, SQL
Responsibilities
Design technologies integrating robotics and instrumentation; Partner with researchers to convert experimental needs into scalable digital workflows; Architect scalable approaches for data collection, processing, and visualization; Lead high-impact projects from concept through deployment; Improve existing digital technologies and automation platforms; Provide hands-on partnership and training to scientists.
Seniority
Principal, strategy & mentorship
