Senior Biologics Data Analytics & Process Modeling

MSD Malaysia; Northern (KY); Hybrid; USD 129,000 - 203,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k) retirement benefits

Paid holidays and vacation

Job summary

MSD Malaysia's Biologics Bio S&T PDSM organization seeks a Senior Specialist, Advanced Process Analytics & Data Strategy. This hands-on role applies data science, process modeling, and data architecture to strengthen biologics manufacturing analytics, collaborating with scientists, engineers, and digital teams.

You will develop, maintain, and improve analytics solutions, support process standardization, and help drive CPV, digital twins, and AI-enabled manufacturing data products in a

Qualifications

• B.S. or higher in a related engineering or life science field with 5+ years biopharma experience.
• Hands-on experience with Python or R for data analysis in manufacturing datasets.
• Experience with GMP/GxP, CPV, and data governance practices.
• Ability to translate manufacturing needs into data requirements and analytical solutions.

Responsibilities

• Develop and execute process analytics linking unit operations to QA attributes.
• Build data flow maps across MES, LIMS, PI Historian, SAP, and ELN.
• Create dashboards and models for CPV, digital twins, and AI/ML workflows.
• Collaborate with IT, SMEs, and external partners to ensure data quality and governance.
• Support data standardization and cross-site reuse of manufacturing data.

Skills

Bioprocess Engineering

Data Science

Python

R

SQL

Process Analytics

CPV

GxP

Root Cause Analysis

Education

B.S. in Chemical Engineering, Biochemical Engineering, Bioengineering, Life Sciences

M.S. in same fields with 3+ years of relevant experience

Ph.D. with 1+ year of relevant experience

Tools

OSIsoft PI/PI AF

Seeq

Power BI

Spotfire

Dataiku

JMP

AWS

Databricks

Job description

MSD Malaysia's Biologics Bio S&T PDSM organization seeks a Senior Specialist, Advanced Process Analytics & Data Strategy. This hands-on role applies data science, process modeling, and data architecture to strengthen biologics manufacturing analytics, collaborating with scientists, engineers, and digital teams.

You will develop, maintain, and improve analytics solutions, support process standardization, and help drive CPV, digital twins, and AI-enabled manufacturing data products in a