Signals Strategy & Informatics Lead — Principal Scientist

Merck; Rahway (NJ); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Hybrid work arrangement

Job summary

Merck is seeking a Principal Scientist for Signals Strategy & Informatics Lead to drive the Signals platform across DSCS. This role partners with discovery and manufacturing to translate scientific needs into scalable digital capabilities, overseeing governance, data quality, and analytics that support proactive decision-making.

The candidate will own multi-year roadmaps, manage SDLC, and collaborate with scientists, data scientists, and software engineers to deliver impactful digital solutions

Qualifications

• Ph.D. with 6+ years of industrial/pharma experience.
• Master’s with 8+ years in relevant fields.
• Bachelor’s with 10+ years in relevant fields.

Responsibilities

• Define and execute Signals strategy and multi-year roadmap.
• Own the Signals SDLC, including demand intake, requirements, release planning, and deployment.
• Lead prospective modeling initiatives using structured Signals data.
• Develop and deploy predictive analytics for method performance monitoring and product trending.
• Partner with scientists, data scientists, software engineers, and digital product teams to design solutions.
• Ensure data quality, lineage, governance, and reuse across analytics and modeling.
• Drive change management and stakeholder engagement to expand Signals usage across DSCS.

Skills

CMC Development

Data Analysis

Data Science

Leadership Mentoring

Predictive Analytics

Product Management Strategy

Software Development Life Cycle

Strategic Thinking

Value Realization

Education

Ph.D. in Chemical Engineering / related field

Master’s degree in Chemical Engineering / related field

Bachelor’s degree in Chemical Engineering / related field

Job description

Merck is seeking a Principal Scientist for Signals Strategy & Informatics Lead to drive the Signals platform across DSCS. This role partners with discovery and manufacturing to translate scientific needs into scalable digital capabilities, overseeing governance, data quality, and analytics that support proactive decision-making.

The candidate will own multi-year roadmaps, manage SDLC, and collaborate with scientists, data scientists, and software engineers to deliver impactful digital solutions