Associate Director, Biologics Data Science & Analytics

Merck & Co.; West Point (PA); Hybrid; USD 157,000 - 247,000; Full time

Benefits offered by this job

Hybrid work arrangement

Travel up to 10%

Job summary

Merck & Co., Inc. is seeking an Associate Director, Advanced Process Analytics & Data Strategy to lead hands‑on data science and process modeling within Bio S&T’s PDSM.

The role focuses on building analytics platforms, standardizing data, and partnering with scientists and digital teams to optimize biologics manufacturing. You will drive CPV, digital twins, AI/ML models, and Proactive Process Monitoring, collaborating with sites, CMOs, and IT while ensuring regulatory alignment and data

Qualifications

• B.S. in Chemical Engineering, Biochemical Engineering, Bioengineering, Life Sciences, or a related field with 8+ years of relevant biopharmaceutical experience.
• M.S. in the same fields with 6+ years of relevant experience, or Ph.D. with 4+ years of relevant experience.
• Strong foundational knowledge of biologics manufacturing (Upstream/Downstream) and GMP/GxP environments.

Responsibilities

• Define and drive an advanced process analytics roadmap connecting unit operations, CPPs, and CQAs through enterprise data models.
• Bridge bioprocessing science and data technology—translating complex manufacturing dynamics into data requirements and value.
• Lead cross-functional teams to implement advanced analytics and digital capabilities across biologics manufacturing workflows.
• Establish data governance and standardization to enable cross-site comparability and AI readiness.

Skills

Bioprocess Engineering

Data Science

Python

SQL

Leadership

Communication

Statistical Analysis

Education

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

M.S. in related field

Ph.D. with 4+ years

Tools

OSIsoft PI/PI AF

MES

LIMS

Power BI

Databricks

Job description

Merck & Co., Inc. is seeking an Associate Director, Advanced Process Analytics & Data Strategy to lead hands‑on data science and process modeling within Bio S&T’s PDSM.

The role focuses on building analytics platforms, standardizing data, and partnering with scientists and digital teams to optimize biologics manufacturing. You will drive CPV, digital twins, AI/ML models, and Proactive Process Monitoring, collaborating with sites, CMOs, and IT while ensuring regulatory alignment and data