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Deep Origin

Senior/Staff Scientist, Cheminformatics & Data Science

Reposted 13 Days Ago
Remote
4 Locations
Mid level
Remote
4 Locations
Mid level
Lead cheminformatics and data science initiatives to develop predictive models for drug discovery, collaborating with various scientific disciplines.
The summary above was generated by AI

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 is a rare opportunity to help define and deploy scalable computational models for predicting protein-ligand binding, enabling next-generation therapeutics.

You’ll 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
  • Ph.D. in cheminformatics, computational chemistry, chemical biology, or a related field;
  • 2+ years of industry experience in drug discovery or pharmaceutical data science;
  • Deep familiarity with protein-ligand interactions, protein structure handling, and ligand representations;
  • Strong proficiency in Python, with hands-on experience using RDKit, scikit-learn, PyTorch, or similar frameworks;
  • A strong foundation in ML model development, validation, and interpretability.

Nice to have:

  • Experience working with DNA-encoded libraries datasets, including data quality control and preprocessing;
  • Exposure to protein structure analysis, scoring functions, or ligand docking workflows (e.g., AutoDock Vina, etc.);
  • Familiarity with cloud platforms (AWS, GCP) and workflow orchestration tools.

Responsibilities:

  • Design, curate, and process diverse chemical and biological datasets (ChEMBL, BindingDB, RCSB PDB, UniProt, etc.);
  • Build and evaluate ligand-based ML models (e.g., QSAR) using methods like gradient-boosted trees, neural nets, and graph neural networks (GNNs);
  • Incorporate structural features of proteins and ligands into affinity prediction workflows;
  • Collaborate closely with medicinal chemists, biologists, and data scientists to support data-driven discovery decisions;
  • Plan and organize work to meet key deadlines and milestones; coordinate with collaborators to ensure integration with broader project efforts;
  • Communicate effectively within Deep Origin and with external partners, regularly sharing updates on progress, blockers, and decisions;
  • Clearly communicate model performance, limitations, and insights to both technical and non-technical teams.

Why Join Deep Origin

Deep Origin builds cloud-native tools for scientists working on the frontiers of biology, chemistry, and computation. We’re mission-driven and deeply collaborative, your work will directly impact how therapeutics are discovered and optimized. As part of this ARPA-H initiative, you'll have the opportunity to operate at the cutting edge of scientific infrastructure and translational impact.


We offer:

  • A remote-friendly environment (with hubs in the US and Armenia);
  • Competitive compensation and equity packages;
  • Flexible schedules;
  • A culture that encourages curiosity, autonomy, and creative problem-solving.

Apply now and help accelerate the future of therapeutic discovery.

Top Skills

AWS
Cheminformatics
GCP
Machine Learning
Python
PyTorch
Rdkit
Scikit-Learn

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