Associate Principal Scientist, CFD & Digital Twin Modeling

EyeBio; West Point (PA); Hybrid; USD 142,000 - 224,000; Full time

Job summary

Merck is seeking an Associate Principal Scientist to join the DSCS Digital Technologies group. You will develop mechanistic, CFD, and ML models to design and de‑risk sterile DS/DP processes, integrating experimental data to output actionable platform decisions across biologics and vaccines.

You will lead cross‑functional teams, deploy virtual twins, and translate complex model outputs into robust manufacturing guidance within a hybrid work environment.

Qualifications

• Strong expertise in CFD and transport phenomena with hands‑on tool experience.
• Programming and data science skills in Python, MATLAB, R, JMP.
• Experience validating models with experimental data and scaling to manufacturing.

Responsibilities

• Develop and deploy mechanistic, CFD, and data‑driven models to support development, scale‑up, tech transfer, and manufacturing across biologics and vaccines.
• Lead CFD‑based mixing and unit operation modeling to quantify hydrodynamic stresses and scale‑up risk.
• Integrate data science with physics models to accelerate execution and improve predictive accuracy.
• Collaborate with Sterile Product Development, Manufacturing Science and Technology, and Manufacturing teams to de‑risk scale‑up and ensure robust processes.
• Design, execute, and interpret scale‑down and validation experiments to establish model credibility.

Skills

CFD

Transport phenomena

Python

MATLAB

R

JMP

Education

Ph.D. in a related field

M.S. in a related field

B.S. in a related field

Tools

ANSYS Fluent

STAR‑CCM+

M‑Star

COMSOL

OpenFOAM

Job description

Merck is seeking an Associate Principal Scientist to join the DSCS Digital Technologies group. You will develop mechanistic, CFD, and ML models to design and de‑risk sterile DS/DP processes, integrating experimental data to output actionable platform decisions across biologics and vaccines.

You will lead cross‑functional teams, deploy virtual twins, and translate complex model outputs into robust manufacturing guidance within a hybrid work environment.