AI-Driven Computational Chemist for Drug Discovery

1910; Boston (MA); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Competitive compensation package

Generous vacation and parental leave

Team building activities

Great colleagues

Job summary

1910 is looking for a computational chemist to guide drug discovery using advanced AI methods. This role involves collaboration across teams, teaching key principles, and contributing to patents and publications. A Ph.D. and expertise in quantum chemical methods and machine learning techniques are essential. This is a unique opportunity in pioneering AI-native biotech.

The ideal candidate has a strong background in modeling, automation scripting, and a desire to collaborate with diverse teams in drug discovery.

Qualifications

• In-depth knowledge of quantum chemical methods and molecular dynamics simulations.
• Proficiency in Python and Bash scripting for workflow automation.
• Experience in analyzing molecular properties and using cheminformatics toolkits.

Responsibilities

• Own computational theoretical chemistry programs across therapeutic modalities.
• Collaborate with Biology and Medicinal Chemistry teams to provide key insights.
• Teach computational chemistry principles to interdisciplinary colleagues.

Skills

Quantum chemical methods

Molecular dynamics simulations

Python and Bash scripting

Cheminformatics toolkits

Understanding of potential energy surfaces

Education

Ph.D. in computational chemistry or related discipline

Tools

ORCA

GROMACS

AWS

Microsoft AZURE

Job description

1910 is looking for a computational chemist to guide drug discovery using advanced AI methods. This role involves collaboration across teams, teaching key principles, and contributing to patents and publications. A Ph.D. and expertise in quantum chemical methods and machine learning techniques are essential. This is a unique opportunity in pioneering AI-native biotech.

The ideal candidate has a strong background in modeling, automation scripting, and a desire to collaborate with diverse teams in drug discovery.