Lead Clinical Data Manager

O
Oak Hill BioBiotechnology, Pharmaceuticals
India, Monday–Friday, 8:00 AM – 5:00 PM ESTFull-TimeLead
Salary not disclosed
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Job Details

Experience
12-15 years
Required Skills
GCP

Requirements

  • Bachelor's degree in Life Sciences, Biostatistics, Computer Science, Nursing, Public Health, or a related discipline.
  • Minimum 12-15 years of clinical data management experience within the biotechnology, pharmaceutical, or CRO industry.
  • Demonstrated experience leading global Phase 2/3 clinical trials.
  • Significant sponsor-side experience operating within a fully outsourced clinical development model.
  • Experience leading DM activities for inspection readiness.
  • Experience supporting regulatory submissions (NDA, BLA, MAA).
  • Prior experience with rare disease, pediatric, or neonatal clinical studies.
  • Strong knowledge of EDC platforms such as Medidata Rave, Oracle InForm, or Veeva Vault CDMS.
  • Experience with CDISC standards, including SDTM and controlled terminology.
  • Familiarity with eCOA, laboratory data transfers, and safety reconciliation.
  • Strong leadership and vendor-management skills within a matrixed environment.

Responsibilities

  • Lead all sponsor-side data management activities for Phase 2/3 clinical trials in rare disease and neonatology.
  • Develop and execute data management strategies aligned with clinical development, regulatory, and submission timelines.
  • Manage relationships and performance of CROs, EDC providers, central laboratories, and other specialty vendors.
  • Review and approve key documents such as DMPs, Data Validation Plans, and UAT documentation.
  • Oversee database build, testing, deployment, maintenance, and database lock activities.
  • Ensure data quality, review, query management, coding, and reconciliation are performed in accordance with GCP.
  • Maintain inspection readiness and support regulatory submissions including NDA/BLA/MAA packages.
  • Partner with cross-functional teams to assess protocol feasibility and identify operational risks.
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