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DBV Technologies · 5 hours ago

Associate Director, Data Management & Data Scientific

Warren, NJ

Full-time

Hybrid

Senior Level, Lead/Staff, Director/Executive

$100K/yr - $140K/yr

7+ years exp

DBV Technologies is a global clinical stage biopharmaceutical company focused on advancing epicutaneous immunotherapy for immunologic diseases. The Associate Director, Data Management & Data Science is responsible for ensuring the integrity and timely delivery of clinical trial data, overseeing data management processes, and collaborating across functions to optimize data pipelines and analytical workflows.

BiopharmaBiotechnologyHealth CareHealth Diagnostics

Responsibilities

Leading and coordinating Data Management, Data Science, and Statistical Programming activities for clinical studies

Designing and maintaining clinical databases, including Data Management Plans, eCRFs, and data validation strategies in compliance with study protocols

Overseeing data collection, reconciliation, quality control, and database lifecycle activities (freeze, lock, archiving)

Ensuring database consistency, standardization, and readiness for biostatistical analysis, including development of SAS programs for data checks and anomaly detection

Performing quality control of clinical and safety databases and supervising internal teams and external vendors

Applying data science and data visualization techniques to support decision-making, study tracking, and future pharmacovigilance data integration

Collaborating cross-functionally with clinical operations, biostatistics, medical, and pharmacovigilance teams to optimize data pipelines and analytical workflows

Contributing to SOPs, work instructions, templates, and continuous improvement of data management processes

Qualification

Data ManagementData ScienceStatistical ProgrammingCDISC StandardsSASData PrivacyEnglish ProficiencyProject ManagementCommunication SkillsInterpersonal Skills

Required

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