Lead Data Manager, Consultant

Ividata Life Sciences

. Provide oversight and leadership for CDISC SDTM programming across a portfolio of 5 to 10 clinical studies in all phases, particularly in Oncology and Neuroscience .

Posted 10/6/2026full-timeParis • FranceSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in CDISC SDTM programming and SAS programming, with a strong focus on data management and regulatory compliance in clinical studies, particularly in Oncology and Neuroscience. Proven ability to oversee projects, manage subcontractors, and ensure high-quality deliverables within defined timelines.

Highest-signal resume keywords

CDISC SDTM ProgrammingSAS ProgrammingClinical Data ManagementRegulatory Compliance (GCP, ICH)Vendor Management (CRO Oversight)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SAS ProgrammingCDISC SDTM FormatData StructuringQuality Control (QC)Regulatory Documentation (Define.xml, sDRG)Data TransformationAutomated ProgrammingClinical Database ArchitectureGood Data Management PracticesOncology and Neuroscience Knowledge

Soft Skills

Organizational SkillsAttention to DetailAnalytical SkillsProblem-Solving SkillsAutonomy

Industry Keywords

Clinical StudiesBiostatisticsBioinformaticsData ManagementPharmaceuticalBiotechnology

About the role

Key responsibilities & impact

Provide oversight and leadership for CDISC SDTM programming across a portfolio of 5 to 10 clinical studies in all phases, particularly in Oncology and Neuroscience
Coordinate SDTM dataset programming activities performed by subcontractors
Ensure deliverable quality and adherence to deadlines
Perform quality control (QC) of SDTM databases and ensure compliance
Contribute to the creation and review of regulatory documentation, including specifications, sDRG, and Define.xml
Develop and maintain automated SAS programs for data transformation and derivation
Manage the transfer and sharing of databases with external partners as part of clinical studies
Ensure the proper application of CDISC standards, Good Data Management Practices, and applicable regulatory requirements
Collaborate with pharmaceutical and biotechnology clients on high-value projects

Requirements

What you’ll need

Education: Master’s degree / five-year higher education degree in Biostatistics, Bioinformatics, Data Management, or an equivalent scientific field
At least 5 years of experience in clinical Data Management with CDISC programming
Advanced proficiency in SAS programming
Strong command of data structuring in the CDISC-SDTM format
Excellent knowledge of information systems, clinical database architecture, and related documentation (Define.xml, sDRG)
Proficiency in applicable regulatory requirements (GCP/Good Clinical Practice, ICH guidelines, and CDISC standards)
Experience managing and overseeing vendors/subcontractors (CRO oversight)
Knowledge of the Oncology and/or Neuroscience therapeutic areas is preferred
Autonomy, rigor, strong organizational skills, and attention to detail
Strong analytical and problem-solving skills
Ability to coordinate multiple projects and manage priorities in line with defined deadlines
Professional written and spoken English required for international collaboration and documentation

Benefits

Comp & perks

A stimulating, collaborative, and constantly evolving environment
High-impact assignments
Hybrid working arrangement with the possibility of remote work
Opportunity to work alongside passionate experts
A genuine opportunity to make an impact through your ideas and expertise
Work on projects across diverse Life Sciences sectors