Principal Scientist, Time-Series Data Strategy (Lab Automation)

Merck & Co.; Rahway (NJ); Hybrid; USD 173,200 - 272,600; Full time

Benefits offered by this job

Medical, dental, vision

401(k) retirement plan

Annual bonus

Long-term incentives

Job summary

Merck & Co. is seeking a Principal Scientist to join DSCS Digital Technologies, with hybrid work in Rahway, NJ or West Point, PA.

The role focuses on time-series data capabilities spanning lab to enterprise, combining robotics, analytics, and data platforms to advance CMC understanding across vaccines, biologics, and small molecules. The successful candidate will lead architecture, data strategy, and delivery, collaborating across IT, automation, and scientific teams while guiding scalable,

Qualifications

• PhD/MS/BS in Chemistry, Biochemistry, Engineering, Physics, Biology, or related field with relevant experience.
• Experience with time series data, data-rich lab environments, and automation.
• Ability to architect scalable data collection and visualization across multiple product lines.

Responsibilities

• Lead strategy, architecture, and delivery for time series data capabilities across DSCS.
• Design and implement real-time, near-time, and post-batch data collection and visualization.
• Collaborate with automation, IT, data science, and manufacturing teams to deliver scalable solutions.
• Mentor teams and drive cross-functional projects in a matrixed environment.

Skills

Time series data

Data engineering

Automation

Cross-functional collaboration

Scientific communication

Education

PhD in related field

MS in related field

BS in related field

Tools

OPC / MQTT standards

Job description

Merck & Co. is seeking a Principal Scientist to join DSCS Digital Technologies, with hybrid work in Rahway, NJ or West Point, PA.

The role focuses on time-series data capabilities spanning lab to enterprise, combining robotics, analytics, and data platforms to advance CMC understanding across vaccines, biologics, and small molecules. The successful candidate will lead architecture, data strategy, and delivery, collaborating across IT, automation, and scientific teams while guiding scalable,