Clinical-stage oncology biopharma with imaging- and ML-driven target discovery
Eikon Therapeutics is a Millbrae-based biopharma running late-stage oncology programs while using single-molecule imaging and machine learning to find new targets. Its stack pairs a heavy R/Posit and Databricks analytics layer with agentic AI frameworks (LangChain, LangGraph, AutoGen) and structural tools like AlphaFold and GROMACS. Senior-weighted, research-led hiring alongside an SEC Reporting Director search points to scaling clinical execution and public-company-grade finance.
Notable leadership hires: SEC Reporting Director
Eikon Therapeutics is a privately held biopharmaceutical company founded in 2019 and headquartered in Millbrae, California. Its clinical pipeline targets cancer through immune response modulation and synthetic lethality approaches. Discovery work applies single-molecule imaging to cancer and neurological disease biology, with machine learning applied to the resulting large imaging datasets. The company employs 201–500 people and hires in the United States across research, clinical, engineering, regulatory, operations and finance functions.
Eikon uses Python, R (RStudio, Shiny, tidyverse, Posit), Databricks, PostgreSQL, TensorFlow, RDKit, AlphaFold, GROMACS, ImageJ, Veeva, SAS, Tableau and AI agent frameworks like LangChain and AutoGen.
Eikon Therapeutics is headquartered in Millbrae, California, and currently hires in the United States.
Eikon is developing target validation and mechanism-of-action assays, analyzing multimodal experimental data, building proof-of-concept analytical tools, and managing clinical site budgets and investigational product supply.
Other companies in the same industry, closest in size
Eikon Therapeutics's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.