Machine Learning Researcher

About the Role

Polyose Bio is building an advanced data-driven modeling platform designed to analyze extensive datasets, including omics data, and predict microbial behavior under various growth conditions.

Responsibilities

• Design and develop probabilistic models or machine learning platforms to facilitate data-driven model discovery.
• Build computational pipelines to automate the iterative design-build-test-learn process, enhancing precision in microbial strain design.
• Work closely with Metabolic Engineering and Synthetic Biology teams to refine sugar polymer biosynthesis pathways in production strains.
• Effectively communicate methodologies and findings internally among team members and externally with scientists, industry leaders, and academics.
• Participate actively in creating and documenting intellectual property related to the technology.

Qualifications

• Passionate about promoting sustainability efforts.
• Thrives in a dynamic startup atmosphere.
• Holds a Ph.D. or Master's degree in Computer Science, Chemical Engineering, or related disciplines.
• Possesses over three years of research experience within academic or industrial laboratory environments.
• Proficient in software development, machine learning methodologies, and probabilistic modeling techniques.
• Capable of working independently as well as collaboratively within a team.
• Experienced in analyzing large-scale datasets.
• Knowledge of omics, synthetic biology, and molecular biology is considered an advantage.

Additional Information

• Employment Type: Full-time and Internship opportunities available.
• Work Location: Boston, MA.