ClinChoice

Senior Data Scientist

ClinChoice

contract

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

Senior

Tech Stack

ETLJavaScriptPythonSQL

About the role

  • Collaborate with Data Management teams to design and implement Data Transfer Specifications (DTS) aligned with client requirements
  • 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 and reporting
  • Design and deploy interactive Power BI dashboards integrating 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
  • Apply advanced statistical methods and visualization techniques to analyze complex clinical datasets
  • Partner with Data Managers to create tools for eCRF specification generation and customization
  • Design and implement relational databases to optimize data storage, retrieval, and integration
  • Develop user-friendly web interfaces (HTML, CSS, JavaScript) for internal tool accessibility
  • Represent the Data Science team in client-facing meetings and collaborate with business development to identify data science opportunities

Requirements

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Biostatistics, or related field
  • Proven experience in clinical data management and analytics, preferably in pharmaceutical or life sciences
  • Technical proficiency in Python, SQL, SAS, Power BI, and EDC platforms (Rave, Veeva, Medrio)
  • Experience building and maintaining ETL pipelines and automation scripts in Python
  • Strong understanding of biomarkers, imaging data, and patient-reported outcomes across multiple study phases
  • Experience with relational database design and web development (HTML, CSS, JavaScript)
  • Excellent communication and collaboration skills across Data Management, IT, Biostatistics, and Clinical teams
  • Strong client-facing skills and ability to work independently and establish high-trust client relationships