Senior Biomarker Data Scientist - Translational Analytics

Regeneron Pharmaceuticals, Inc; Village of Tarrytown (NY); Sur place; USD 110 000 - 179 000; Plein temps

Résumé du poste

Regeneron Pharmaceuticals, Inc. is seeking a statistical computational professional to conduct clinical trial data management and exploratory analyses on omics, EHR, wearables, imaging, and other biomarker data.

You will develop tools and dashboards to process, analyze, query, visualize, and clean data in a collaborative PMQTS environment. The role involves integrating diverse datasets for statistical analysis, communicating plans to study teams, and benchmarking new computational workflows to

Qualifications

• PhD or Masters with 2+ years in a quantitative field.
• Experience with statistical modeling, ML, and data blending.
• Proficiency in R, Python, or MATLAB; SQL/Spark/C++ a bonus.
• Linux/cloud environment experience and data mapping knowledge.
• Clinical trials knowledge preferred.

Responsabilités

• Analyze biomarker data across Precision Medicine studies.
• Provide data cleaning and visualization expertise.
• Integrate complex datasets for statistical analyses of exploratory biomarker data and endpoints.
• Develop computational workflows and dashboards for processing, querying, visualizing, and cleaning data.
• Communicate analytical plans and timelines across study teams.

Connaissances

Statistical modeling

Machine learning

R

Python

MATLAB

Data visualization

Linux

Formation

PhD in a quantitative field

Masters with 2+ years experience

Outils

RStudio

Jupyter Notebooks

SQL

Git

AWS

Description du poste

Regeneron Pharmaceuticals, Inc. is seeking a statistical computational professional to conduct clinical trial data management and exploratory analyses on omics, EHR, wearables, imaging, and other biomarker data.

You will develop tools and dashboards to process, analyze, query, visualize, and clean data in a collaborative PMQTS environment. The role involves integrating diverse datasets for statistical analysis, communicating plans to study teams, and benchmarking new computational workflows to