Atomic AI
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About
Atomic AI is a biotech company leveraging AI and structural biology to revolutionize RNA-targeted drug discovery. Their platform uses deep learning to discover and design RNA-targeted small molecules, RNA-based medicines, and RNA tools. The company is well-funded and has a strong team with expertise in RNA, AI, and related fields. They offer a competitive benefits package and a hybrid work environment.
Platform
Task
Features
• rna-targeted small molecule discovery
• deep learning foundation models
• rna tool development
• rna-based medicine design
• machine learning and structural biology fusion
• ai-driven rna drug discovery
Job Opportunities
RNA Bioscience Lead
Atomic AI uses AI and structural biology to develop RNA-targeted drugs, employing deep learning for molecule and medicine design.
Benefits:
100% paid comprehensive medical coverage, including vision and dental, and HSA plan options for employees and their dependents
Health & wellness app reimbursement
On-site gym
Free lunch
12 company holidays and flexible time off
Education Requirements:
PhD
Experience Requirements:
10+ years of experience in RNA biology and/or biochemistry
Excellent knowledge on RNA targets in drug discovery, RNA-protein interactions, RNA biochemistry, and RNA-targeting small molecule strategies
Demonstrated ability in leading and efficiently executing novel scientific research
Proven hands-on experience in RNA technologies, including RNA target selection, purification, screening technologies including biochemical and biophysical methods
Ability to independently drive, manage, execute, and deliver results for a portfolio of complex multifunctional projects
Responsibilities:
Take a lead role in identifying and implementing novel strategies for developing RNA-targeting drugs
Work with the leadership to define overall RNA targeting strategy
Working closely with the internal ML Data and ML team: Enable and apply RNA-structure platform. Identify and prioritize RNA-structure targets for small molecule drug discovery.
Establish relevant technologies internally and manage workflows
Manage talent both internally and externally to build a productive team
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