This is a hybrid science-and-strategy role for a drug discovery expert who enjoys translating advanced computational biology into real therapeutic impact. You will identify druggable nodes, predict mechanisms of action, model drug combinations and resistance, perform virtual screening, and help shape PK/PD strategy within a systems-level framework.

This position requires a PhD in Medicinal Chemistry, Pharmacology, Chemical Biology, or a related field, with 3 – 7+ years of hands-on drug discovery experience, particularly in signaling-driven programs.

Key Skills and Experience

• Strong background in SAR, pharmacophore modeling, ADME/​Tox, and PK/PD modeling
• Familiarity with kinase inhibitor classes, PROTACs, molecular glues, and polypharmacology concepts
• Experience with docking tools (AutoDock, Glide, GOLD)
• Working knowledge of QSAR/QSPR, chemoinformatics, RDKit, and ADME prediction tools

You will think in terms of networks rather than single targets — synergy, bypass pathways, resistance mechanisms, and combination strategies.

A strong industry-facing mindset is essential, including experience writing scientific reports, interacting with pharma partners, understanding IP considerations, and supporting go/no-go decisions.

If the idea of using multi-scale computational models to fundamentally change how drugs are designed excites you, this is the role.

PhD in Medicinal Chemistry, Pharmacology, Chemical Biology, or related field with computational component.

• experience in drug discovery
• Track record of working on signaling pathway inhibitors
• Understanding of both drug chemistry AND cell biology

Interested candidates can send their resumes to careers@​ceremorphic.​com.