Open-Science Drug Discovery Lead (Remote, AI Benchmarking)

Con science; Remote; CAD 60,000 - 80,000; Full time

Job summary

A non-profit organization focused on drug discovery is seeking a Computational Drug Discovery Lead to spearhead initiatives in drug development through open science and collaboration. The ideal candidate will have a Ph.D. and expertise in computer-aided drug design or computational biology. This role offers the opportunity to lead innovative projects and collaborates with a diversity of stakeholders while working remotely from Canada.

Benefits

Work flexibility

Occasional in-person team meetings

Engagement with global partners

Qualifications

• Ph.D. (or nearing completion) in computational chemistry, bioinformatics, or related field is required.
• Expertise in computer-aided drug design, computational chemistry, or computational biology is required.
• Prior experience in industry and/or international settings is preferred.

Responsibilities

• Assist with the creation of a consortium for benchmarking AI methodologies.
• Lead the coordination of consortium activities with international partners.
• Contribute to fundraising efforts for the Critical Assessment Program.

Skills

Expertise in computer-aided drug design

Computational chemistry

Computational biology

Analytical skills

Organizational skills

Collaborative skills

Education

Ph.D. in computational chemistry or related field

Job description

A non-profit organization focused on drug discovery is seeking a Computational Drug Discovery Lead to spearhead initiatives in drug development through open science and collaboration. The ideal candidate will have a Ph.D. and expertise in computer-aided drug design or computational biology. This role offers the opportunity to lead innovative projects and collaborates with a diversity of stakeholders while working remotely from Canada.