Associate Director, Bioprocess Analytics & Data Strategy

MSD Malaysia; West Point (PA); Hybrid; USD 157,000 - 247,000; Full time

Benefits offered by this job

Annual bonus

Long-term incentive

Medical

Dental

Vision insurance

401(k) retirement

Paid holidays

Vacation

Sick days

Job summary

Merck & Co., Inc., Rahway, NJ, USA, is seeking an Associate Director for Advanced Process Analytics & Data Strategy within PDSM. The role focuses on hands-on data science, process modeling, and data architecture to optimize biologics manufacturing, partnering with scientists, engineers, and IT.

The candidate will lead analytics initiatives, ensure regulatory-ready data products, and advance enterprise data models to improve yield, cycle time, and process performance across sites.

Qualifications

• BS in Chemical/Biochemical/Bioengineering or Life Sciences with 8+ years of relevant biopharmaceutical experience; MS with 6+ years; PhD with 4+ years.

Responsibilities

• Define and drive an advanced process analytics roadmap connecting CPPs and CQAs through enterprise data models.
• Build and maintain data flow across MES, LIMS, PI Historian, SAP, ELN; ensure data integrity for regulatory compliance.
• Develop dashboards and analytics for Proactive Process Monitoring (PPM) and CPV support.
• Establish data standards, governance, and cross-site data ownership for AI readiness.
• Engage stakeholders to promote governed self-service analytics and capability building.

Skills

Bioprocess Engineering

Data Science

Python

SQL

GxP / GMP

Process Analytics

Statistical Modeling

Data Architecture

Stakeholder Engagement

Leadership

Education

B.S. in Chemical/Biochemical/Bioengineering or Life Sciences

M.S. in same fields

Ph.D. in same fields

Tools

OSIsoft PI

MES

LIMS

Seeq

Power BI

Spotfire

Dataiku

JMP

AWS

Databricks

Job description

Merck & Co., Inc., Rahway, NJ, USA, is seeking an Associate Director for Advanced Process Analytics & Data Strategy within PDSM. The role focuses on hands-on data science, process modeling, and data architecture to optimize biologics manufacturing, partnering with scientists, engineers, and IT.

The candidate will lead analytics initiatives, ensure regulatory-ready data products, and advance enterprise data models to improve yield, cycle time, and process performance across sites.