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Proxima

AI-driven proximity-based drug discovery platform

Director Chemistry

Translational Research & Bench BiologyConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • A PhD in organic chemistry.
  • Roughly 8-12 years of post-PhD experience in medicinal chemistry or chemical biology, with extensive synthetic chemistry experience.
  • Demonstrated structure-based drug design capability, including using structures and models to make chemistry decisions that improved potency or selectivity.
  • Practical computational chemistry skills built through discovery work rather than from a purely computational background.
  • Biology fluency, including the ability to read a pharmacology package, reason about late-stage pharmacology and translational implications, and work effectively with biologists.
  • Program experience on enzyme and/or receptor targets, including G-protein-coupled receptors and nuclear receptors.
  • Strong synthetic chemistry fundamentals and sound judgment on route design.
  • Experience directing contract research organization chemistry and holding external partners to high standards.
  • Comfort working in a small, fast, resource-constrained team while owning chemistry end to end.

Responsibilities

  • Own compound design and structure-activity relationship strategy for a pipeline program from hit identification through lead optimization.
  • Use structure to drive chemistry decisions, including co-crystal structures, homology and docking models, and physics-based methods where appropriate.
  • Work at the chemistry/biology interface by interpreting pharmacology data directly and shaping what gets tested next.
  • Design synthetic routes and direct external synthesis while staying close to the chemistry and solving synthetic challenges.
  • Drive design-make-test-analyze cycles alongside biology and drug metabolism and pharmacokinetics, prioritizing compounds on potency, selectivity, and developability.
  • Solve problems involving potency, selectivity, permeability, metabolic stability, solubility, and property space beyond the Rule of 5.
  • Pressure-test Neo-1 output for synthetic tractability and chemical relevance, and feed results back to improve the models.
  • Manage contract research organization chemistry end to end, including scoping, route review, quality, timelines, and cost.
  • Build data packages supporting internal go/no-go calls and pharmaceutical partner deliverables.
  • Drive chemistry on pipeline programs.

About the Company

Proxima

AI-driven proximity-based drug discovery platform

Proxima provides AI-native tools for drug discovery focused on how proteins interact. Its NeoLink system uses cross-linking mass spectrometry to map protein complexes across the proteome, generating 3D interaction data; Neo-1 is an atomistic AI model that unifies de novo molecule design with multimodal structure prediction to tailor small molecules that can form or modulate protein interfaces, enabling molecular glues and PROTACs. Unlike many firms that target single proteins, Proxima combines large-scale structural proteomics with an advanced AI framework to drive proximity-based therapeutics that influence protein interaction networks. Its goal is to become essential infrastructure for next-generation drug discovery and to advance programs into clinical trials, with partnerships with major biopharma and an internal pipeline.

Company size
51-200
Company stage
Seed
Total funding
$80M
Headquarters
New York City, New York
Founded
2019

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