Full Time/Direct Hire
Sr. Manager, R&D (Open to BA and PM that want to transition into management)
Remote Hybrid in Conschohocken, PA
JOB DESCRIPTION
The Senior Manager, IT R&D Business Analyst will drive the delivery of technology solutions and digital transformation initiatives within R&D and Quality. This role involves partnering with business stakeholders to understand processes, gather requirements, and translate needs into best-in-class technology solutions. The IT Lead will ensure systems are compliant, validated, and deliver measurable business value in regulated environments. Position Responsibilities • Lead selection, implementation, and operations of IT systems supporting the R&D landscape • Build strong relationships across Clinical Operations, Regulatory, PV, Biostats & Data Science, Clinical Pharmacology, Medical Writing, and Submissions • Ensure seamless integration and optimization of R&D technologies from research through regulatory submissions • Implement analytics, reporting, and AI solutions in coordination with specialized IT teams • Oversee system validation and change control processes with internal/external partners and Quality teams • Ensure compliance with global GxP, privacy, and regulatory standards • Manage vendor relationships and supervise contractors as needed $140k-$150k (based on experience level)
REQUIRED SKILLS AND EXPERIENCE
• 7–10+ years of experience in technology roles within the pharmaceutical industry (in Clinical and Regulatory Domain) • Proven track record in IT delivery supporting R&D applications and data management solutions (Veeva Quality, RIM, Safety, Pharmacovigilance) • Strong understanding of GxP environments and Computer System Validation (CSV) lifecycle • Bachelor’s degree in information technology, Engineering, Life Sciences, or related field • Excellent communication and stakeholder engagement skills across all organizational levels
NICE TO HAVE SKILLS AND EXPERIENCE
• Experience with cloud-based and SaaS solutions in pharma • Exposure to emerging technologies such as AI/ML • Familiarity with systems like eTMF, CTMS, EDC, RIM, eCTD Publishing, PV databases, QMS, and scientific data repositories • Ability to manage vendor relationships and supervise contractors
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