About Us:

Deep Apple Therapeutics is a Bay Area biotechnology company with a focus on combining capabilities in molecular docking and structural biology to create a nucleus for accelerated drug discovery through advanced computer aided drug design technologies. Deep Apple Therapeutics is applying a state-of-the-art technology research platform based on advanced computational modeling and large-scale compound docking (LSD), cryo-EM based structural biology, and deep learning to drug discovery.

Role Description:

Our innovation and value-driven organization is seeking to hire an experienced Scientist to join our rapidly growing team. This position requires broad technical experience in cheminformatics, and a strong emphasis on an industrial mindset underpinned by critical thinking, multitasking, and the ability to propose new approaches and ideas. This position will focus on collaborating with medicinal chemists, project leads, deep learning scientists and computational chemists as well as wet-lab scientist to develop software and systems to enable cutting-edge research in small molecule drug discovery. Projects will span diverse technologies and will include understanding, maintaining, and extending existing critical applications as well as developing novel tools. The common thread is creating innovative software solutions supporting small molecule drug discovery groups

Key Responsibilities

• Demonstrated proficiency in at least one modern programming language (e.g. Python)
• Demonstrated ability to work in a team-based environment, with user input from scientific staff
• Experience in curating and maintaining internal databases of small molecules (e.g. CDD Vault, Vortex)
• Experience with cheminformatics and developing software for drug discovery (e.g. physicochemical property prediction, chemical library enumeration)
• Experience with ML/AI approaches for small molecule research (property and DMPK predictions)

Required Qualifications and Skills

• Master’s degree and at least 2-years industry experience or PhD in cheminformatics, computational chemistry, computer science or a related discipline.
• Experience developing cheminformatic solutions towards chemistry problems of biological interest.
• Interest in ML/AI frameworks, machine learning best practices and computational chemistry approaches (such as docking or molecular dynamics).
• Attention to detail with rigorous scientific thinking and clear communication with colleagues from different scientific backgrounds.
• The ability to present your work both verbally and in writing to non-technical audiences.
• Creative mindset with a willingness to propose new approaches and ideas.