Principal Scientist, Time-Series Data Strategy & Lab Automation

Merck & Co.; West Point (PA); Hybrid; USD 173,200 - 272,600; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k) retirement plan

Paid time off and holidays

Job summary

Merck & Co., Inc. seeks a Principal Scientist to lead time-series data strategy across DSCS Digital Technologies, partnering with automation, IT, data science, and CMC teams. The role spans real-time collection, near-time processing, and post-batch analysis to accelerate pharmaceutical development across small molecules, biologics, and vaccines.

The position requires a Ph.D. with 6+ years (or MS 8+ years; BS 10+ years) in chemistry, engineering, or related fields, and strong experience in data

Qualifications

• Ph.D. with 6+ years, MS with 8+ years, or BS with 10+ years in relevant field.
• Experience modernizing pharmaceutical development with data-rich tech.
• Ability to design scalable real-time to post-batch data solutions.

Responsibilities

• Lead strategy, architecture, and delivery for time series data capabilities.
• Develop, deploy and integrate data-rich tools across CMC workflows.
• Collaborate with automation, IT, data science, and manufacturing teams.

Skills

Time series data

Data engineering

Laboratory automation

Scientific data platforms

Cross-functional collaboration

IT and automation integration

Communication

Project leadership

Education

Ph.D. in Chemistry/Engineering/Biology or related

M.S. in Chemistry/Engineering or related

B.S. in Chemistry/Engineering or related

Tools

Python

R Studio

SQL/Databricks

Visualization tools

Job description

Merck & Co., Inc. seeks a Principal Scientist to lead time-series data strategy across DSCS Digital Technologies, partnering with automation, IT, data science, and CMC teams. The role spans real-time collection, near-time processing, and post-batch analysis to accelerate pharmaceutical development across small molecules, biologics, and vaccines.

The position requires a Ph.D. with 6+ years (or MS 8+ years; BS 10+ years) in chemistry, engineering, or related fields, and strong experience in data