Research-backed pharma manufacturer with 25 plants across India and USA
MSN Laboratories operates a vertically integrated pharmaceutical business with 25 manufacturing facilities (17 API, 8 finished-dosage) and an in-house R&D center. The company runs SAP for ERP alongside specialized lab instruments (HPLC, UPLC, SDS-PAGE) and BI tools (Power BI), but projects reveal active friction around regulatory processes, dossier quality, and cross-functional launch coordination—typical pain points for scaled generics manufacturers navigating global compliance.
MSN Laboratories is a research-based pharmaceutical manufacturer headquartered in Hyderabad, India, operating 25 manufacturing plants in India and the USA. The company manufactures active pharmaceutical ingredients (APIs) and finished-dosage formulations across 35+ therapeutic areas including oncology, cardiology, CNS, and diabetes. The product portfolio spans 500+ APIs and 400+ finished dosages. MSN operates an integrated R&D center, has filed 900+ patent applications, and serves over 40 million patients across 100+ countries. The organization employs over 15,000 professionals and holds the top global position in active US DMF filings. Current hiring spans sales, manufacturing, quality, and regulatory functions, with regional expansion into Ghana, Brazil, Costa Rica, and the Dominican Republic.
MSN operates 25 state-of-the-art facilities: 17 API manufacturing plants and 8 finished-dosage facilities, located in India and the USA. An integrated R&D center supports both API and finished-dosage research.
MSN serves over 100 countries and has earned the trust of more than 40 million patients globally. The company is actively hiring in Ghana, Brazil, India, Costa Rica, and the Dominican Republic.
Primary systems: SAP (ERP), Active Directory, CRM, Power BI (analytics), and accounting tools (Tally, QuickBooks). Lab operations rely on HPLC, UPLC, and SDS-PAGE instruments for quality control and R&D.
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MSN Laboratories'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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