Associate Director, Data Management & Data Scientific
Scorpion Therapeutics, Blairstown, New Jersey, United States
Role Summary
The Associate Director, Data Management & Data Science reports directly to the VP of Biometrics and is part of the Biometrics department. This role ensures 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. 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. 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. Skills
Behavioral: Curiosity, Courage, Collaboration, Credibility
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The Associate Director, Data Management & Data Science reports directly to the VP of Biometrics and is part of the Biometrics department. This role ensures 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. 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. 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. Skills
Behavioral: Curiosity, Courage, Collaboration, Credibility
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