Description : 

The Associate Director, Data Management & Data Science reports directly to the VP of Biometrics and is part of the Biometrics department. This role is responsible for ensuring the integrity, accuracy, and on-time delivery of clinical trial data, including databases and associated data streams, through robust data management processes from study setup through database lock and subsequent analysis. Responsibilities include enforcing data standards, quality control, data management reporting, oversight of subcontracted activities and supervision of internal teams and subcontractors. Additionally, the role integrates advanced data science and statistical programming capabilities to support clinical research and future pharmacovigilance data streams. Collaboration across functions is essential to design, implement, and optimize data pipelines and analytical workflows. The Associate Director contributes to product development by ensuring timely clinical database finalization and compliance with industry standards (e.g. CDISC, ICH-GCP) prior to analysis.

Location : Warren, NJ -3 days on site & 2 days remote

Salary Range : 100-140K

Key Responsibilities : 

Within the Biometrics department and in an international environment, the role ensures the integrity, quality, and timely delivery of clinical trial data from study setup through database lock and analysis.

• 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.

Qualifications : 

• 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.
  

Behavioral skills : 

• Curiosity: Keep on exploring uncharted territories. Always ask “why?” and more importantly “why not?”,

• Courage: Take smart risks, mentor each other to always do better & be accountable for our choices, our opinions, and our actions,

• Collaboration: Teamwork and spirit. Support each other and be equally involved in the achievement of our common goals,

• Credibility: Be transparent, follow through and build trust. Educate ourselves about our unique technology.