Temporary Fermentation Modeling

Overview

Role involves developing mechanistic models of fermentation to predict fermentation behavior.

Ideal candidate should have advanced quantitative modeling skills and strong programming experience.

Must be available to meet during U.S. working hours

Locations

• United States

Requirements

• Advanced quantitative background in modeling dynamic systems
• Fourth-year graduate student in Ph.D. program or bachelor's degree plus five years experience
• Strong programming skills (e.g., Python, R)

Responsibilities

• Design fermentation process mechanistic models
• Fit models to data from experiments
• Validate models on held-out data
• Prepare project reports and well-documented code

Benefits

• Comprehensive compensation package
• Paid time off
• Excellent medical, dental, and vision insurance
• 401(k) retirement savings plan
• Free access to the Menlo Park Labs Gym
• Menlo Park Labs free shuttle service