Senior Downstream Modeling Scientist, Digital Insights

Merck & Co.; West Point (PA); Hybrid; USD 142,000 - 224,000; Full time

Benefits offered by this job

Hybrid work

Job summary

Merck & Co. seeks an Associate Principal Scientist to lead mechanistic downstream modeling within DSCS. You will partner with DSP scientists and process engineers to translate model outputs into purification and manufacturing decisions, while mentoring junior scientists and shaping the modeling roadmap.

Responsibilities include designing calibration datasets, estimating parameters, and validating simulations against data. Hybrid work arrangements are available for this US role.

Qualifications

• Ph.D. in Chemical Engineering, Bioengineering, or closely‑related field with 3+ industrial/pharmaceutical experience.
• M.S. in Chemical Engineering, Bioengineering, or closely‑related field with 5+ industrial/pharmaceutical experience.
• B.S. in Chemical Engineering, Bioengineering, or closely‑related field with 7+ industrial/pharmaceutical experience.

Responsibilities

• Build, calibrate, and validate mechanistic chromatography models.
• Design parameter estimation studies for calibration datasets.
• Apply models to guide resin/mode selection and cycle design.
• Extend modeling to downstream unit operations and scale‑up decisions.
• Own end‑to‑end modeling project execution and communicate predictions.

Skills

Chromatography modeling

Mechanistic modeling

Numerical simulation

Parameter estimation

Team mentoring

Scientific leadership

Data analysis

Process development

Education

Ph.D. in Chemical Engineering/Bioengineering

M.S. in Chemical Engineering/Bioengineering

B.S. in Chemical Engineering/Bioengineering

Tools

CADET

GoSilico

Numerical simulation platforms

Python

Job description

Merck & Co. seeks an Associate Principal Scientist to lead mechanistic downstream modeling within DSCS. You will partner with DSP scientists and process engineers to translate model outputs into purification and manufacturing decisions, while mentoring junior scientists and shaping the modeling roadmap.

Responsibilities include designing calibration datasets, estimating parameters, and validating simulations against data. Hybrid work arrangements are available for this US role.