Machine Learning Research Scientist - AI/ML for Drug Discovery

April 6

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

🗽 New York – Remote

Although this job is listed in New York, this company may be open to hiring remote in other states.

💵 $175k - $260k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧬 Research Scientist

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Atomwise

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Atomwise is a company that leverages the power of artificial intelligence for drug discovery. They have developed a machine learning-based discovery engine that combines convolutional neural networks with extensive chemical libraries to identify new small molecule medicines. Atomwise's AI-enabled discovery portfolio includes both wholly owned and co-developed pipeline assets, and their technology aims to transform small molecule drug discovery. The company focuses on using AI to tackle challenging problems in the field, supported by prominent investors, and is continuously developing its platform to advance drug discovery.

Machine Learning • Artificial Intelligence • Drug Discovery • Computer Aided Drug Design

51 - 200 employees

Founded 2012

🤖 Artificial Intelligence

🧬 Biotechnology

💊 Pharmaceuticals

💰 $2.3M Grant on 2020-10

📋 Description

• We seek a highly motivated and creative Machine Learning Researcher to join our growing team. • You will be at the forefront of developing and applying advanced machine-learning models to accelerate the discovery of novel therapeutics. • Your work will directly impact the development of innovative AI-driven drug discovery platforms. • This role offers the opportunity to work on challenging problems at the intersection of machine learning, chemistry, and biology, with access to extensive datasets and state-of-the-art computational resources.

🎯 Requirements

• Ph.D. in Computer Science, Machine Learning, Computational Chemistry, Bioinformatics, or a related field. • Hands-on experience with graph neural networks, multi-task learning, active learning strategies, multi-objective optimization, and generative modeling, in particular their application to problems in small molecule drug discovery. • Proficiency in designing and implementing novel machine learning architectures in PyTorch. • Strong problem-solving and analytical skills, with a demonstrated ability to conduct independent research. • Experience with collaborative software engineering and developing high quality, maintainable code in a large codebase. • Demonstrable communication and collaboration skills. • A strong publication record in relevant conferences and journals is highly desirable. • Experience with 3D generative modeling and knowledge of protein-ligand interactions is a plus. • Experience in optimizing models for large-scale training and inference is a plus. • Familiarity with cheminformatics tools and libraries (e.g., RDKit) is a plus.

🏖️ Benefits

• Competitive salary, commensurate with experience • Stock compensation plan – you'll be an Atomwise co-owner • Platinum health, dental, and vision benefits for you and your dependents • 401(k) retirement plan with generous company match (up to 4%) • Flexible paid time off (PTO), 13 paid holidays, and wellness breaks for employees to spend time with their loved ones and recharge • Health Savings and Flexible Spending Account options to help save money on healthcare, daycare, and commuting • Employee Assistance Program (EAP) and Pet Insurance • Funding for professional development and conference attendance • Flexible work schedule • Generous paid parental leave