Senior Quantitative Biomarker Scientist

Job Title

Regeneron is advancing its pipeline portfolio using a data-driven human translational approach. As part of this initiative, the Precision Medicine team is integrated with Discovery Research and Clinical Development teams to promote early adoption of biomarker strategy to guide clinical translation.

This is a statistical computational role that falls within Precision Medicine Quantitative Translational Sciences (PMQTS), the analytical arm of Precision Medicine. We are looking for a motivated individual who can conduct clinical trial data management and data analysis in an open and collaborative working environment. This role will encompass exploratory analyses and visualization of omics, EHR, wearable sensor, imaging, and other biomarker data. This position is also involved in the development of tools and dashboards for processing, analyzing, querying, visualizing, and cleaning data.

When & where:

• Work Location: Tarrytown, NY or Armonk, NY
• Work model/flexibility: 4 days per week on site

  Discover your role:

  • Liaise with Precision Medicine Quantitative Translational Sciences to analyze biomarker data types across a range of Precision Medicine and biomarker studies.
  • Provide computational and technical expertise on data cleaning and data visualization.
  • Integrate complex datasets to perform statistical analysis on exploratory biomarker data and clinical endpoints. Use technical tools, language, or custom coding and systems analysis to clean data and select or create datasets for analysis.
  • Understand and follow data quality concepts and best practices and tools. Identify data anomalies and work with data stewards in other units to perform root cause analysis on data quality issues.
  • Assist in the preparation of scientific presentations, manuscripts, and reports, including the preparation of quality checked tables and graphs depicting research results.
  • Effectively communicate analytical plans and timelines for multiple concurrent projects with study team members.
  • Develop, benchmark, and implement new computational workflows as necessary
  • Maintain best coding and data cataloguing practices for business consistency and scientific reproducibility.

    This role requires:

    • PhD, or Masters with minimum 2 years of relevant work experience in one of the following or otherwise related quantitative fields: Computer Science, Computational Biology, Systems Biology, Quantitative Biology, Bioinformatics, Data Analytics, Statistics, Biostatistics, Mathematics, Applied Mathematics, Physics, Chemistry.
    • You have experience with statistical modeling/regression, machine learning, and other relevant data blending abilities.
    • You have experience in at least one of the following scripting languages: R, Python, MATLAB. Other languages such as SQL, Spark, and C++ are a bonus.
    • You have experience working in a Linux and/or cloud, shell scripting, and notebook environment.
    • You have knowledge of structured data, with the ability to perform data mapping for systems integration, data provisioning, and data consumption (strongly preferred).
    • You have a working knowledge of clinical trials (strongly preferred.)