Jobs at Proxima

Lead strategic planning and execution for internal R&D programs, coordinating cross-functional ML, biology, chemistry, and proteomics teams. Build program governance, dashboards, and vendor/CRO oversight, synthesize technical signals for portfolio decisions, and support CROs, KOL/SAB engagement, and platform operations to accelerate AI-native proximity therapeutic discovery.

Execute end-to-end cross-linking mass spectrometry (XLMS) experiments, run and maintain HPLC/LC-MS systems, perform bacterial and mammalian protein expression and purification, troubleshoot workflows, maintain ELN records, develop SOPs, train teammates, and collaborate with computational biologists and chemists to integrate XLMS data into drug discovery.

Lead research and design of large-scale deep learning systems for protein structure prediction and molecular glue design. Develop novel architectures and training paradigms, collaborate with chemistry/biology experts, publish at top ML venues, and apply models to drive drug discovery value.

Research-focused role to design and train large-scale deep learning systems for protein structure prediction and molecular generation. Develop novel architectures and training paradigms, collaborate with chemistry/biology experts, contribute to top-tier ML conferences, and drive generative-model based discovery of proximity-inducing therapeutics.

Design and run cell-based pharmacology assays to validate targets and computational hits across proximity drug discovery programs. Own cellular pharmacology data from target validation through hit-to-lead and lead optimization, run select assays in-house, manage CROs, develop disease-relevant cellular models and quantitative readouts, collaborate with computational and XLMS teams, and prepare data packages for internal and partner decisions.

Develop large-scale data pipelines, computational methods and ML models integrating evolutionary, structural and omics data; collaborate with chemistry, ML and experimental teams to validate predictions and enable AI-driven proximity-based drug discovery.

Develop and maintain large-scale scientific workflows and tooling for computational drug discovery. Build cheminformatics pipelines, virtual screening and docking workflows, scalable ML inference and chemical databases, and automation for modeling, analysis, and visualization. Support scientists, increase automation, and ship features that advance AI-enabled proximity therapeutics.