Senior Clinical Data Manager

This is a fully remote position, open to applicants in France.

📋 Description

• Function at the convergence of data engineering, clinical science, and collaboration with partners.

• Engage directly in technical discussions with external stakeholders, including hospitals, research organizations, and CROs/CMOs.

• Convert unclear source data into unified, AI-ready resources.

• Organize and correlate diverse clinical data to industry-standard biomedical ontologies, focusing on clinical oncology and immunology.

• Create, develop, and sustain data dictionaries, schemas, and metadata models.

• Implement, automate, and uphold data quality control (QC) and validation frameworks.

• Produce production-grade Python code to streamline data cleaning and harmonization processes.

• Comprehend how clinical data is produced in real-world contexts.

• Proactively review data to identify missing variables, anomalies, and concealed biases.

• Identify critical data in clinical trials concerning oncology and immunology.

⛳️ Requirements

• Educational Background: A Bachelor’s or Master’s degree in Life Sciences, Bioinformatics, Health Informatics, Computer Science, Statistics, or a related quantitative discipline.

• Industry Experience: Several years (typically 3–5+) of practical experience in clinical data management or clinical data engineering within a CRO, CMO, pharmaceutical, or biotech setting.

• Hands-on Coding Skills: Strong proficiency in Python along with standard data science libraries (e.g., Pandas, NumPy).

• Software Best Practices: Proven dedication to code reproducibility, including experience with Git version control and constructing reusable data pipelines.

• Clinical Data Expertise: Knowledge of clinical data structures, electronic health records (EHR), case report forms (CRFs), and longitudinal clinical trial data.

• Ontologies & Vocabularies: Understanding of standard clinical and biological ontologies, specifically adapted for cancer/oncology and/or immunology datasets.

• Communication & Alignment: Capability to agree on data delivery formats with partner clinical teams.

• Start-up experience: Comfort in a dynamic startup environment where data schemas change and ingestion requirements need to be established from the ground up.

🏝️ Benefits

• Competitive compensation.

• Equity.

• Flexibility (remote options).