AI Drug Discovery Scientist
About the role
The Opportunity Legacy drug discovery pipelines are bottlenecked by traditional knowledge boundaries. We are changing that. At the intersection of generative machine learning and advanced oncology research, we are in the business of translating theoretical models into real, clinic-ready therapeutics. As an AI Drug Discovery Scientist, you will not just optimize algorithms, you will directly shape the design of small molecules and beyond-Rule-of-5 (bRo5) drugs destined to impact patient lives.
About Us We are a translatable-asset driven company; fast-paced and dedicated to compressing the timeline between target identification and clinical trials. Highly collaborative and driven by novelty and impact potential, we bypass unfounded tradition to focus entirely on what works. We possess dedicated, high-performance computing infrastructure, ensuring your models have the raw power required to solve the hardest challenges in pharmaceutical development.
The Role Identify and implement state-of-the-art models: Evaluate, adapt, and deploy frontier machine learning models and generative frameworks in the chemistry and biology domains. Multi-parameter optimization: Design algorithms for simultaneously optimizing on-target potency and bioavailability, while mitigating side-effects. Scale computational infrastructure: Leverage our internal High-Performance Computing (HPC) cluster to execute large-scale modeling runs efficiently. Cross-functional execution: Integrate tightly with a spectrum of computer scientists, chemists, biologists, and clinical scientists, to define problems and implement solutions in an agile, iterative environment.
Who You Are (Qualifications) Self-motivated and highly driven; a professional who can independently define a problem, conceptualize a technical solution, and adaptably execute it within a defined timeframe. Ph.D. focused on computational drug discovery, molecular optimization, or generative ML for chemistry, combined with 3+ years of post-doctoral research experience; OR equivalent industry experience (5+ years) in a chemistry-focused biotechnology sector. Core competencies in production-ready coding for scientific applications. Demonstrable experience with python and PyTorch or similar technologies in a HPC environment will be advantageous. Experience in developing and implementing novel ML algorithms such as transformers, diffusion models, neural networks. Ability to quantify uncertainty and optimize solutions via Bayesian or other frameworks will be highly regarded. Location: Vancouver, British Columbia, Canada (Hybrid). Remote starts available. Employment type: Full time. Compensation: $110K - 175K based on previous experience and demonstrable skills.
Not the right fit? Search for AI Drug Discovery Scientist jobs in Vancouver, British Columbia, Canada
About Artemis Therapeutics AI
Artemis Therapeutics is an artificial intelligence–driven biopharmaceutical company focused on accelerating the discovery and development of next-generation therapeutics. By combining advanced machine learning, molecular modeling, and biological validation, Artemis is transforming the traditional drug discovery process, which can often take more than a decade and cost billions of dollars.
The company was founded by Dr. Artem Cherkasov and Dr. Mads Daugaard to harness more than 30 years of research in computational chemistry, molecular modeling, and precision drug discovery. Artemis’s proprietary AI platform integrates advanced algorithms with high-performance computing to rapidly screen billions—and soon trillions—of potential drug candidates against disease targets, dramatically increasing the speed and efficiency of identifying promising therapeutics.
At the core of the platform is DeepDocking™, the world’s first deep learning–accelerated virtual screening technology, capable of dramatically expanding the scale of computational drug discovery. Artemis continues to advance this technology through next-generation systems such as DeepDocking-Lightning™ and DeepDocking-Ultra™, enabling unprecedented speed and scale in structure-based drug discovery.
Artemis operates as an asset-driven biopharma company, focusing on discovering and advancing proprietary drug candidates rather than providing AI services alone. Six drug candidates identified using the platform have already been licensed to pharmaceutical companies, demonstrating the platform’s ability to generate high-value therapeutic assets.
With a world-class team of scientists, industry leaders, and advisors, Artemis Therapeutics is working to unlock new possibilities in precision medicine and accelerate the delivery of safer, more effective therapies to patients worldwide.
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AI Drug Discovery Scientist
About the role
The Opportunity Legacy drug discovery pipelines are bottlenecked by traditional knowledge boundaries. We are changing that. At the intersection of generative machine learning and advanced oncology research, we are in the business of translating theoretical models into real, clinic-ready therapeutics. As an AI Drug Discovery Scientist, you will not just optimize algorithms, you will directly shape the design of small molecules and beyond-Rule-of-5 (bRo5) drugs destined to impact patient lives.
About Us We are a translatable-asset driven company; fast-paced and dedicated to compressing the timeline between target identification and clinical trials. Highly collaborative and driven by novelty and impact potential, we bypass unfounded tradition to focus entirely on what works. We possess dedicated, high-performance computing infrastructure, ensuring your models have the raw power required to solve the hardest challenges in pharmaceutical development.
The Role Identify and implement state-of-the-art models: Evaluate, adapt, and deploy frontier machine learning models and generative frameworks in the chemistry and biology domains. Multi-parameter optimization: Design algorithms for simultaneously optimizing on-target potency and bioavailability, while mitigating side-effects. Scale computational infrastructure: Leverage our internal High-Performance Computing (HPC) cluster to execute large-scale modeling runs efficiently. Cross-functional execution: Integrate tightly with a spectrum of computer scientists, chemists, biologists, and clinical scientists, to define problems and implement solutions in an agile, iterative environment.
Who You Are (Qualifications) Self-motivated and highly driven; a professional who can independently define a problem, conceptualize a technical solution, and adaptably execute it within a defined timeframe. Ph.D. focused on computational drug discovery, molecular optimization, or generative ML for chemistry, combined with 3+ years of post-doctoral research experience; OR equivalent industry experience (5+ years) in a chemistry-focused biotechnology sector. Core competencies in production-ready coding for scientific applications. Demonstrable experience with python and PyTorch or similar technologies in a HPC environment will be advantageous. Experience in developing and implementing novel ML algorithms such as transformers, diffusion models, neural networks. Ability to quantify uncertainty and optimize solutions via Bayesian or other frameworks will be highly regarded. Location: Vancouver, British Columbia, Canada (Hybrid). Remote starts available. Employment type: Full time. Compensation: $110K - 175K based on previous experience and demonstrable skills.
Not the right fit? Search for AI Drug Discovery Scientist jobs in Vancouver, British Columbia, Canada
About Artemis Therapeutics AI
Artemis Therapeutics is an artificial intelligence–driven biopharmaceutical company focused on accelerating the discovery and development of next-generation therapeutics. By combining advanced machine learning, molecular modeling, and biological validation, Artemis is transforming the traditional drug discovery process, which can often take more than a decade and cost billions of dollars.
The company was founded by Dr. Artem Cherkasov and Dr. Mads Daugaard to harness more than 30 years of research in computational chemistry, molecular modeling, and precision drug discovery. Artemis’s proprietary AI platform integrates advanced algorithms with high-performance computing to rapidly screen billions—and soon trillions—of potential drug candidates against disease targets, dramatically increasing the speed and efficiency of identifying promising therapeutics.
At the core of the platform is DeepDocking™, the world’s first deep learning–accelerated virtual screening technology, capable of dramatically expanding the scale of computational drug discovery. Artemis continues to advance this technology through next-generation systems such as DeepDocking-Lightning™ and DeepDocking-Ultra™, enabling unprecedented speed and scale in structure-based drug discovery.
Artemis operates as an asset-driven biopharma company, focusing on discovering and advancing proprietary drug candidates rather than providing AI services alone. Six drug candidates identified using the platform have already been licensed to pharmaceutical companies, demonstrating the platform’s ability to generate high-value therapeutic assets.
With a world-class team of scientists, industry leaders, and advisors, Artemis Therapeutics is working to unlock new possibilities in precision medicine and accelerate the delivery of safer, more effective therapies to patients worldwide.