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1218# Senior Data Scientist- Remote

ClinChoice

Salary not specified
Sep 11, 2025
Remote, US
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ClinChoice is seeking a Senior Data Scientist Consultant to join one of their clients, aiming to provide advanced data management, analytics, and visualization capabilities to support clinical development and business objectives.

Requirements

  • Technical proficiency in Python, SQL, SAS, Power BI, and EDC platforms (Rave, Veeva, Medrio).
  • Experience with relational database design and web development (HTML, CSS, JavaScript).
  • Proven experience in clinical data management and analytics, preferably within the pharmaceutical or life sciences domain.
  • Strong understanding of biomarkers, imaging data, and patient-reported outcomes across multiple study phases.

Responsibilities

  • Build and maintain ETL pipelines to automate extraction, transformation, and loading of data from multiple EDC platforms (Rave, Veeva, Medrio).
  • Develop automation scripts in Python to streamline dashboard refreshes, ensuring real-time accuracy and efficiency in reporting.
  • Design and deploy interactive Power BI dashboards integrating data from EDC systems and external sources (labs, MRI, ECG).
  • Construct robust data models to support study-level and subject-level analysis.
  • Ensure data harmonization, normalization, and validation across datasets to support strategic business objectives.
  • Apply advanced statistical methods and visualization techniques to analyze complex clinical datasets.
  • Partner with Data Managers to create and maintain advanced tools that accelerate eCRF specification generation and customization.

Other

  • Client-facing role, requiring confidence and ability to work independently.
  • Establish a high-trust environment with the client’s counterparts.
  • Excellent communication and collaboration skills with experience working across Data Management, IT, Biostatistics, and Clinical teams.
  • Strong client-facing skills with the ability to translate technical capabilities into business value.
  • Bachelor’s/Master’s degree in Data Science, Computer Science, Biostatistics, or related field.