Clinical-stage oncology biotech developing ADCs and radioligand therapies
Immunome is a clinical-stage oncology developer whose stack is dominated by pharmacometrics and clinical data tools (NONMEM, Monolix, WinNonlin, SAS, Medidata Rave, Veeva CDMS, CDISC), pointing to heavy in-house PK/PD modeling and submission work. Senior- and director-heavy hiring across research, legal, quality and manufacturing, plus a Global Regulatory Lead opening, signals a company preparing for late-stage regulatory filings while scaling ADC process development.
Notable leadership hires: Global Regulatory Lead, Medical Director
Immunome, Inc. is a public, clinical-stage biotechnology company headquartered in Bothell, Washington, focused on targeted cancer therapies. Its pipeline spans a gamma secretase inhibitor in Phase 3 for desmoid tumors, a ROR1-targeted antibody-drug conjugate in Phase 1, a FAP-targeted radioligand cleared to enter clinical trials, and several preclinical ADCs aimed at solid tumors. The company employs between 201 and 500 people and hires in the United States. Operations run on Veeva Vault and Veeva RIM for regulatory content, NetSuite for finance, and ServiceNow, Intune and Jamf for IT.
Immunome uses SAS, NONMEM, Monolix, WinNonlin, MATLAB and Shiny for analysis and modeling, with Medidata Rave, Veeva CDMS and CDISC standards for clinical data management.
Yes, hiring is accelerating in the United States, concentrated in research, healthcare, legal, manufacturing and quality, with open leadership roles including a Global Regulatory Lead and a Medical Director.
Immunome is headquartered in Bothell, Washington, United States, and has between 201 and 500 employees.
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Immunome, Inc.'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.