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# Senior Data Scientist

- **Company:** ELEPHAS
- **Location:** Madison, WI, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Bioinformatics, Clinical Data Repository, Code Review, Computer Simulation, Data Mining, Data Presentation, Database Queries, Python (Programming Language), Machine Learning, Signal Processing, Software Engineering, Computational Statistics
- **Published:** November 7, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-data-scientist-madison-wi--650c7652-2085-4e67-acdc-6520455143c4

## About the Role

Data Science, Data Science, Cancer, Medical Records, Biotech and Pharmaceutical, Training/Teaching, Analysis Skills, Team Player, Problem Solving Skills, Clinical Data, * Master's (+5 years experience) or PhD (+2 years experience) in Data Science, Biostatistics, Bioinformatics, Biomedical Engineering or related field

 * Strong background in quantitative analysis and statistics
 * 1-3 years experience analyzing biomedical datasets is preferred
 * Experience programming in Python is preferred
 * Knowledge of machine learning, data science, data mining, data querying, statistics, signal processing, image processing, etc.
 * Experience explaining complex data methodologies to non-technical stakeholders
 * Familiarity with software development life cycle and best practices
 * Detail-oriented with strong organizational skills

## Description

The Senior Data Scientist will support clinical correlation data modeling, which includes working with data engineers to assess data quality of incoming assay and clinical data, developing bootstraps across different assay versions, engineering features to feed modeling, evaluating different types of modeling approaches, training unsupervised and supervised data models and reporting performance, assimilating, summarizing, and visualizing results, and presenting results to Commercial, RD and Scientific Communications stakeholders., * Lead complex, high-visibility data science projects from problem definition through delivery, implementation, ongoing refinement.

 * Develop and apply advanced statistical, machine learning, and computational methods to biological, experimental, clinical, product, and operational datasets.
 * Establish robust, reproducible, and maintainable analytical pipelines, models, and tools suitable for broader team use.
 * Provide input to biomedical research scientist presentations and publications regarding rigorous and appropriate analytic approaches.
 * Lead complex data presentation to technical and non-technical stakeholders.
 * Provide technical leadership through code review, methodological guidance, and best-practice development.
 * Mentor junior and mid-level data scientists, supporting their technical growth, project execution, and decision-making.