Senior Precision Medicine Associate

Regeneron Pharmaceuticals
Onsite

About The Position

The role will support the development, execution, and maintenance of automation and data solutions across Samples, Kits, Data, and Logistics (SKDL) within Precision Medicine Operations. This role is a hands-on technical contributor focused on building, maintaining, and improving tools, dashboards, and data workflows that support clinical sample and data operations. The individual will apply programming and data engineering skills to help streamline operational workflows, improve data quality and visibility, and support timely delivery of biomarker samples and data. The role works closely with senior SKDL leaders, study teams, and lab partners to execute defined automation and data initiatives and to resolve operational issues related to samples and data.

Requirements

  • Working proficiency in one or more programming languages such as Python, R, SQL, MATLAB, or Perl.
  • Experience with data processing, basic database concepts, and dashboarding or visualization tools.
  • Foundational understanding of structured data concepts (tables, entities, relationships, metadata).
  • Bachelor’s degree (or higher) in a scientific, computational, engineering, or related discipline.
  • 5+ years of relevant experience in clinical research, data operations, laboratory operations, or a related setting (biotech, pharma, CRO, academic research).

Nice To Haves

  • Exposure to clinical sample workflows, lab data, LIMS, or operational tracking systems preferred.

Responsibilities

  • Develop, enhance, and maintain automation tools, scripts, and code workflows to reduce manual effort across sample, kit, data, and logistic operations.
  • Co-design, build and maintain reporting documents and dashboard to support routine sample and data tracking, issue identification, and operational reporting.
  • Implement automated coding pipelines to perform data cleaning, transformation, and integration routines under guidance from senior technical leads.
  • Support extraction and consolidation of data from lab vendor reports, operational trackers, and internal systems.
  • Data Engineering & Integration Support development of dataset frameworks, mappings, and metadata across samples, kits, and lab data.
  • Assist with API-based or file-based data integra
  • Adhere to established data governance and security practices to ensure compliant handling of confidential clinical data.
  • Support operational oversight of biosamples and related data across clinical studies, including tracking collection, shipment, storage, and data completeness.
  • Participate in investigation and resolution of sample or data-related issues in collaboration with senior team members and lab vendors.
  • Maintain operational documentation and metrics related to sample status, data quality, and logistics events.
  • Support study meetings, documentation, and routine communications with labs and internal stakeholders.

Benefits

  • health and wellness programs (including medical, dental, vision, life, and disability insurance)
  • fitness centers
  • 401(k) company match
  • family support benefits
  • equity awards
  • annual bonuses
  • paid time off
  • paid leaves (e.g., military and parental leave)
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