Clinical-stage biopharmaceutical company focused on rare lung diseases
Insmed is a public biopharmaceutical company developing therapies for orphan and chronic lung diseases, with active clinical programs spanning multinational regulatory submissions and new analytical lab builds. The hiring velocity is accelerating across healthcare (22 roles), research (15), and operations, with a pronounced director-level hiring bias (47 of 108 active roles) — indicating either leadership expansion ahead of Phase 3/commercialization or organizational restructuring.
Notable leadership hires: Evidence Planning Lead, Head of Government Affairs, Medical Safety Lead, Commercial Lead, Business Development Director
Insmed develops first- and best-in-class biopharmaceutical therapies for patients with serious diseases, with a clinical focus on orphan and chronic lung infections. Headquartered in Bridgewater, New Jersey, the company operates research, manufacturing, and commercial functions across the United States, Europe, and Japan. The 1,001–5,000 person organization is publicly traded and currently executing multiple clinical-stage programs including multinational trial regulatory submissions and pre-launch assessments. Active projects span new analytical laboratory builds, IRT system design, laboratory automation expansion, and GxP software validation—reflecting the operational complexity of clinical development and regulatory preparation. Core pain points center on GxP compliance, regulatory alignment across geographies, data integrity in digital systems, and scaling rare disease commercialization.
Lab analytics (HPLC, ICP-MS, JMP, Chromeleon), LIMS (Labware), GxP compliance (Veeva QualityDocs, ServiceNow), data platforms (Azure, AWS, GCP, Snowflake), and automation tooling (Terraform, CloudFormation, Ansible). Python, Pandas, and scikit-learn support statistical analysis.
Bridgewater Township, New Jersey. Additional offices and research locations in the United States, Europe, and Japan.
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Insmed Incorporated'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 →
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