Ensuring the integrity, accuracy, and on-time delivery of clinical trial data through robust data management processes from study setup through database lock and subsequent analysis.
Enforcing data standards, quality control, data management reporting, and oversight of subcontracted activities.
Integrating advanced data science and statistical programming capabilities to support clinical research and future pharmacovigilance data streams.
Collaborating across functions to design, implement, and optimize data pipelines and analytical workflows.
Contributing to product development by ensuring timely clinical database finalization and compliance with industry standards (e.g., CDISC, ICH-GCP) prior to analysis.

Requirements

Higher education in computer science, data science, statistics, or a related scientific discipline.
+7 years’ professional experience in Data Management, Data Science, or Statistical Programming within Clinical Research (CRO, Pharmaceutical, or Biotech environment).
Strong expertise in global Data Management processes and ePRO solutions.
Advanced knowledge of CDISC standards (SDTM and ADaM).
Proficient in SAS; experience with JMP, R, Python, or other data science tools is a plus.
Solid understanding of regulatory requirements, data privacy, and pharmacovigilance.
Ability to apply data science and statistical programming to clinical research.
Strong communication and interpersonal skills; dynamic, rigorous, and results-oriented.
Comfortable working in a matrixed, international environment.
Excellent written and spoken English.
Experience in people and project management.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data managementdata sciencestatistical programmingSASJMPRPythonCDISC standardsSDTMADaM

Soft Skills

communicationinterpersonal skillsdynamicrigorousresults-orientedproject managementpeople management