Associate Director Statistical Programming, Pharmacometrics

Regeneron

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Hybrid

Quick summary

Work type: Hybrid
Location: Tarrytown, NYWarren, NJ
Salary: $176,100–$287,300 / yr
Employment: Full-time
Posted: 119 days ago
Freshness: Confirmed live yesterday
Nearby: 24 roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $214k

This role $232k

$145k most similar roles pay here $303k

This role pays more than 64% of similar roles. Most pay $169,300–$257,912 — the shaded band above. At the midpoint, this role pays about $232k versus about $214k for comparable roles.

Based on 240 similar postings.

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About Regeneron

Regeneron is a leading science-driven biotechnology company that invents, develops, and commercializes life-transforming medicines for serious diseases.

Regeneron currently has 57 open roles on FindRole.

Listed pay typically runs $134,400–$219,200 across 45 roles with salary data.

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At a glance

TL;DR · Associate Director Statistical Programming, Pharmacometrics

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Associate Director Statistical Programming - Pharmacometrics provides leadership and technical support within the pharmacometrics team to manage clinical study data processing, analysis, and storage. The role involves coordinating deliverables across multiple projects, managing resource planning, and ensuring compliance with statistical analysis plans and programming specifications. Key responsibilities include leading the quality control of analysis datasets and TFLs, creating programming specifications using internal tools, and integrating data for exposure-response, PopPK, and PopPKPD analyses. Candidates must possess expert SAS programming skills in a clinical data environment, knowledge of CDISC standards, and proficiency in R or Python. The role also involves mentoring junior staff and managing project milestones to support the analysis of clinical trials through regulatory approval. Technical requirements include experience with relational databases and an understanding of pharmacokinetics and immunogenicity within the pharmaceutical industry.

Skills

SAS R Python CDISC Pharmacometrics PopPK PopPKPD MS-Excel Biostatistics Clinical Trial Data Statistical Programming Data Science AI QC TFL's

What you'll do

Lead the programming and quality control of analysis datasets and TFLs across multiple projects.
Manage and maintain programming specifications for analysis datasets using internal tools and methodologies.
Coordinate project timelines for data exchange and deliverables with cross-functional teams.
Integrate data across studies to support Exposure-response, PopPK, and PopPKPD analyses.
Provide programming support for HAR requests, data-driven analyses, publications, and conference plans.
Create and validate electronic submission requirements including annotated CRFs and define documents.
Perform project management tasks such as resource planning, milestone tracking, and risk communication.
Mentor junior staff on therapeutic area requirements and technical programming standards.

What we're looking for

Must have a Master's degree in Statistics, Computer Science, Mathematics, Engineering, Life Science, or a related discipline.
Must have 10+ years of programming experience.
Expert SAS programming skills (Base, Stat, Macro, graph) in a clinical data environment are required.
Proficiency in R programming and/or Python is required.
Knowledge of relational database structures and reporting systems using multiple data delivery applications is required.
Experience with implementing standardization methodology and creating CDISC data standards is required.
Understanding of biostatistics, pharmaceutical clinical development, and pharmacokinetics analysis is required.
Experience in project and people management and expertise in one or more therapeutic areas are preferred; SAS Certification is desirable.