Senior Manager, Precision Medicine

The Senior Manager, SKDL Automation & Programming Lead, will drive the technical strategy, development, and implementation of automation solutions across Samples, Kits, Data, and Logistics (SKDL) within Precision Medicine Operations. This role serves as the technical authority for clinical sample/data workflows and leads the design, programming, and deployment of scalable tools, integrations, and dashboards to modernize SKDL operations.

The individual will combine deep knowledge of clinical sample/data processes with strong computational programming expertise to enable high‑quality, timely, and compliant biomarker sample and data delivery. Responsibilities include architecting automation pipelines, building analytical dashboards, optimizing data flows, and ensuring operational readiness for database locks and biomarker deliverables. Preferred background includes familiarity with central and specialty labs, LIMS, data operations, APIs, database design, and sample tracking systems.

Proficiency in Python, R, SQL, and/or MATLAB is required.

• Lead the design and implementation of automation solutions to streamline SKDL processes and reduce manual effort across samples, kits, and clinical data workflows.
• Develop, maintain, and scale dashboards, data pipelines, and computational tools for real‑time sample/data tracking and issue resolution.
• Build automated data cleaning, transformation, and integration workflows using industry‑standard programming languages and platforms.
• Design programmatic extraction and aggregation of key insights from operational reports and lab vendor outputs.
• Architect structured data models, ontologies, and mappings across samples, kits, lab data, and metadata.
• Develop and support API‑based integrations between central labs, specialty labs, LIMS, EDC, and internal systems.
• Provide end‑to‑end oversight of clinical trial biosamples and data generation—from collection through storage and disposal—per study requirements.
• Serve as the point of contact for resolving complex technical and sample/data issues with central and specialty labs.
• Maintain and review operational metrics across studies related to samples, kits, data quality, and logistics.

• Advanced proficiency in one or more programming languages:
  Python, R, SQL, MATLAB, or Perl.
• Experience with APIs, database development, dashboard/visualization tools, and Linux/Unix environments.
• Knowledge of structured data concepts such as entities, classes, hierarchies, relationships, and metadata.
• Experience with central/specialty labs, LIMS, kit management systems, and sample tracking workflows.
• Strong ability to evaluate sample/data interdependencies, risks, and upstream/downstream impacts on clinical programs.

Bachelor’s or Master’s degree in a scientific, computational, or engineering discipline. 10+ years of relevant experience in clinical research within academic, CRO, biotech, or pharmaceutical settings, with strong knowledge of clinical trials, sample/data workflows, and clinical databases.

We offer a comprehensive benefits package that supports health, wellness, and financial well‑being, including medical, dental, vision, life and disability insurance, fitness programs, 401(k) with company match, paid time off and leaves, and equity awards for eligible employees.

Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or parental status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations.

The Company will also provide reasonable accommodation to the known disabilities or chronic illnesses of an otherwise qualified applicant for employment, unless the accommodation would impose undue hardship on the operation of the Company’s business.

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