Senior Research Scientist - Machine Learning

March 21

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SandboxAQ

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Leveraging AQ - the powerful compound effects of AI + Quantum technology

AI • Quantum Physics • Quantum Technology • Cryptography • Cybersecurity

51 - 200

💰 $500M Venture Round on 2023-02

Description

• SandboxAQ is seeking a highly motivated Senior ML Research Scientist to contribute their structure-based drug design expertise to our drug discovery team. • Areas of specific interest include protein-ligand co-folding, ligand docking, and other machine-learning-based techniques related to structural biology and drug discovery. • The successful candidate will be crucial in advancing the AQBioSim R&D roadmap, securing novel customer engagements, and developing key differentiated technology to support the long-term success of SandboxAQ and its AQBioSim division. • Collaborate with cross-functional teams of medicinal chemists, computational chemists, physicists, and engineers in the area of machine learning for drug discovery, chemistry, and material science • Stay abreast of the latest advancements in machine learning, cheminformatics, and biopharmaceutical research, and integrate relevant methodologies into ongoing projects.

Requirements

• PhD (or equivalent) in computer science, computational chemistry, computational physics, or any related field with a focus on machine learning • 3-5 years (including PhD) of relevant research experience • Proven experience applying ML to structure-based drug design as evidenced e.g. by co-authorship of research publications • Proven track record of developing ML algorithms, in particular, deep learning approaches to structure prediction, force field development, and similar • Strong communication skills and experience presenting scientific results to less educated audiences • Excellent knowledge of modern DL architectures such as diffusion models, transformer models, flow-based networks, variational autoencoders, and similar • Proficiency in programming languages and frameworks commonly used in machine learning and data analysis, such as Python or Julia, with relevant libraries and frameworks (e.g. jax, TensorFlow, PyTorch, scikit-learn, or others) • Experience with software development in a dynamic startup environment, i.e. fluency with git, GitHub, cloud computing, coding best practices, code review a.s.o. • Comfortable with navigating priorities in a dynamic startup environment

Benefits

• Competitive salaries • Stock options depending on employment type • Generous learning opportunities • Medical/dental/vision • Family planning/fertility • PTO (sum)