Deep Origin is seeking a Senior or Staff Scientist with strong expertise in cheminformatics, machine learning, and drug discovery to join a groundbreaking initiative funded by ARPA-H.
This position offers a rare opportunity to help define and deploy scalable computational models for predicting protein-ligand binding, enabling next-generation therapeutics.
The successful candidate will work with a multidisciplinary team of scientists and engineers to lead ligand- and structure-based modeling efforts, contribute to data curation, and develop high-performing predictive models that accelerate molecular design.
Requirements:
A Ph.D. in cheminformatics, computational chemistry, chemical biology, or a related field is required.
The candidate must have 2+ years of industry experience in drug discovery or pharmaceutical data science.
Deep familiarity with protein-ligand interactions, protein structure handling, and ligand representations is essential.
Strong proficiency in Python, with hands-on experience using RDKit, scikit-learn, PyTorch, or similar frameworks is necessary.
A strong foundation in ML model development, validation, and interpretability is required.
Nice to have: Experience working with DNA-encoded libraries datasets, including data quality control and preprocessing.
Nice to have: Exposure to protein structure analysis, scoring functions, or ligand docking workflows (e.g., AutoDock Vina, etc.).
Nice to have: Familiarity with cloud platforms (AWS, GCP) and workflow orchestration tools.
Benefits:
Deep Origin offers a remote-friendly environment with hubs in the US and Armenia.
The position includes competitive compensation and equity packages.
Flexible schedules are provided to accommodate work-life balance.
The company fosters a culture that encourages curiosity, autonomy, and creative problem-solving.