Job Application for Senior/Principal Computational Chemist at Superluminal Medicines, Inc.

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About Superluminal Medicines:

Superluminal Medicines is a generative biology and chemistry company revolutionizing the speed and accuracy of how small molecule medicines are created. The Company’s platform aims to create candidate-ready compounds with unprecedented speed using a combination of deep biology, computational and medicinal chemistry, machine learning, and proprietary big data infrastructure. We are expanding the team of talented scientists who seek to build the future of small molecule drug discovery with creativity and innovation.

About the Role:

Working with us offers a unique opportunity to build and grow a fruitful career with the company and apply your computational chemistry expertise to impact human healthcare and the treatment of multiple diseases affecting patients worldwide. You will also be able to advance the state of drug discovery and development.

Responsibilities:

Conduct analyses that integrate computational and experimental data to formulate testable hypotheses that drive drug discovery programs
Collaborate with an interdisciplinary team of scientists to enhance the impact of computational efforts on our platform and projects
Ensure effective communication of computational results among key stakeholders, collaborators, and teams, with visualizations in 2D/3D
Develop innovative approaches to streamline and improve computational tools and workflows, deployed in cloud environments (GCP)
Curation of datasets, creation and training of ML/AI models, and application on giga-scale virtual screening
Apply modern cheminformatic analysis and visualization tools to high throughput virtual screen data sets

Preferred Qualifications:

Ph.D. in Computational Chemistry, Computational Biology, Biophysics, or a related discipline
7 to 10 years of experience in drug discovery
Demonstrated expertise in applying a broad range of modern computational chemistry and cheminformatics methods including but not limited to molecular mechanics and dynamics, the free energy of binding evaluation (TI/FEP), RDKit, OpenBabel, and other related applications
Proven expertise in structure-based drug design and application of machine learning methods in drug discovery programs including but not limited to AlphaFold, DeepChem, PyTorch, and other related applications
Experience using packages for molecular modeling, e.g., tools from Schrödinger or Cresset, Amber, NAMD, or other related software
Familiarity with cloud computing environments, such as AWS, GCP, and related environments
Proficiency in a Unix/Linux environment
Strong interpersonal and communication skills, with the ability to conduct independent research

Equal Opportunity Statement:

Superluminal Medicines is an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status.

Senior/Principal Computational Chemist

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