Clinical research services integrating operations, lab work, and data science
Precision for Medicine operates a global clinical research CRO with 2,000+ staff across 35 offices, serving pharma at all trial stages. The tech stack—Python, R, SAS, Salesforce, Veeva Vault, Medidata Rave, AWS, Kubernetes—reflects a hybrid model combining regulatory/lab informatics (LIMS, EudraVigilance, ETMF) with modern data infrastructure. Hiring velocity is accelerating across research (43 roles) and healthcare (29), while active projects reveal operational scaling challenges: site startup delays, contract execution friction, and M365 modernization are all blocking clinical trial launch speed.
Notable leadership hires: Business Development Director, Medical Director, Site Start-up Lead, Start Up Lead, Compensation & Benefits Director
Precision for Medicine is a clinical research organization (CRO) that handles end-to-end trial services—from patient recruitment and lab work through biomarker analysis and regulatory submissions—for biotech and pharma clients across oncology and rare disease. The company combines clinical operations, specialty lab capabilities (immune monitoring, biomarker strategies, CDx development), and data science teams to reduce trial cycle time and improve outcome predictability. With offices in 20+ countries and a workforce spanning research, healthcare, data, and engineering roles, the organization manages both site activation logistics and the regulatory/compliance machinery required for IND and NDA submissions.
Precision for Medicine provides global clinical trial services including site recruitment, specialty lab testing, biomarker analysis, and regulatory support. They serve sponsors from Phase I through post-approval studies, with embedded expertise in oncology and rare disease.
Bethesda, Maryland. The company operates 35 offices globally across countries including the US, UK, Australia, Singapore, China, Germany, and others.
Between 1,001 and 5,000 employees, with over 2,000 dedicated professionals mentioned in company description, spread across clinical, lab, data science, and operations teams.
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