Artificial Intelligence Scientist - Drug Discovery

Qualifications

• Analysis Skills, Artificial Intelligence (AI), Biology, Chemistry, Clinical Laboratory, Cross-Functional, Data Analysis, Data Collection, Drug Development, Drug Discovery, Genomics, Healthcare, High Throughput, Laboratory Operations, Machine Learning, Medicine, Operations Research, Product Development, Scientific Research, Software Engineering, Stem Cells, Team Player, Training Data Sets

Responsibilities

• Lead end-to-end analyses that includes data gathering, processing, analysis, iteration with stakeholders, and presentation of results
• Demonstrate your knowledge of Artificial Intelligence to craft, develop, and improve computational drug discovery tools
• Design, execute, and own analyses of large, complex genomics datasets using Artificial Intelligence, machine learning, and statistical methods to generate biological insights
• Interact cross functionally and work closely with teams include stem cell biologists, chemists, structural biologists, software engineering, clinical, laboratory operations, research, and product development
• Collaborate to design, analyze, and present experiments with external collaborators
• Create and communicate rigorous scientific analyses

Full Description

We operate at the convergence and cutting-edge of science and technology. Join us and our rapidly growing team of computational biologists and life scientists who are dedicated to transforming how we discover treatments for patients in need.

Artificial Intelligence Scientist - Drug DiscoveryWHO WE ARE

Greenstone Biosciences is a health care company that is dedicated to drug discovery. Using its unique drug discovery pipeline comprised of Artificial Intelligence, virtual screening, molecular docking, high throughput multi-omics sequencing, and human derived induced pluripotent stem cell technologies (hiPSCs), Greenstone Biosciences aims to develop novel drug therapeutics to achieve precision medicine and precision health. Greenstone Biosciences is headquartered in the Alexandria Center for Life Science at Stanford Research Park.

This position will work with an interdisciplinary group to develop the Artificial Intelligence driven computational drug discovery pipeline

YOU WILL:

• Lead end-to-end analyses that includes data gathering, processing, analysis, iteration with stakeholders, and presentation of results.

• Demonstrate your knowledge of Artificial Intelligence to craft, develop, and improve computational drug discovery tools.

• Design, execute, and own analyses of large, complex genomics datasets using Artificial Intelligence, machine learning, and statistical methods to generate biological insights.

• Interact cross functionally and work closely with teams include stem cell biologists, chemists, structural biologists, software engineering, clinical, laboratory operations, research, and product development.

• Collaborate to design, analyze, and present experiments with external collaborators.

• Create and communicate rigorous scientific analyses.

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Greenstone is proud to be an equal opportunity workplace.

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Skills:

Analysis Skills, Artificial Intelligence (AI), Biology, Chemistry, Clinical Laboratory, Cross-Functional, Data Analysis, Data Collection, Drug Development, Drug Discovery, Genomics, Healthcare, High Throughput, Laboratory Operations, Machine Learning, Medicine, Operations Research, Product Development, Scientific Research, Software Engineering, Stem Cells, Team Player, Training Data Sets

About the Company:

Greenstonebio