ZipRecruiter

Log In

1

Associate Director Statistical Programming Jobs in Princeton, NJ

JLL

Associate Director, Consulting

New York, NY · Hybrid

Associate Director, Global Integration Program Management Office (PMO) Analyst - New York, Chicago ... Statistics/research experience * Well-developed verbal, communication, and presentation skills

DREAM

Associate Director of High School Math

New York, NY · On-site

$52K - $70K/yr

... and Engineering to ensure alignment of our PK-12 STEM programs. Teacher & Leader Development ... Advanced knowledge of Algebra I, Algebra II, Geometry, Pre-Calculus, Calculus, & Statistics content;

previous page

Showing results 41-60

All JobsAssociate Statistical Programming JobsAssociate Director Statistical Programming JobsAssociate Director Statistical Programming Jobs in Princeton, NJ

Associate Director Statistical Programming information

See Princeton, NJ salary details

$160.9K

$293.7K

$360.6K

How much do associate director statistical programming jobs pay per year?

As of Aug 21, 2026, the average yearly pay for associate director statistical programming in Princeton, NJ is $293,669.00, according to ZipRecruiter salary data. Most workers in this role earn between $273,100.00 and $338,100.00 per year, depending on experience, location, and employer.

What does an associate director statistical programming do?

An Associate Director of Statistical Programming leads teams responsible for the design, development, and validation of statistical programs used in the analysis of clinical trial data. They oversee the creation of datasets, tables, listings, and figures that support regulatory submissions and scientific publications. In addition to technical expertise, this role involves managing timelines, ensuring compliance with regulatory standards, and collaborating with cross-functional teams such as biostatistics, data management, and clinical operations.

What are the key skills and qualifications needed to thrive as an associate director statistical programming?

To thrive as an Associate Director Statistical Programming, you need expertise in statistical programming, clinical trial data standards, and a degree in statistics, mathematics, or a related field, often with several years of experience in the pharmaceutical or biotechnology industry. Proficiency in programming languages such as SAS and R, knowledge of CDISC standards (SDTM, ADaM), and familiarity with regulatory submission requirements are typically required. Strong leadership, project management, and communication skills are vital for guiding teams and collaborating with cross-functional partners. These skills and qualities ensure the delivery of high-quality, compliant statistical outputs that support clinical development and regulatory approval.

How does an associate director statistical programming typically collaborate with cross-functional teams in a pharmaceutical or biotech setting?

As an Associate Director of Statistical Programming, you will work closely with biostatisticians, clinical data managers, and regulatory affairs professionals to ensure that statistical analyses and data outputs meet project and regulatory requirements. You’ll often lead programming teams, coordinate timelines, and help translate statistical analysis plans into executable code. Regular meetings and clear communication are key, as you’ll be expected to provide technical guidance and ensure data integrity across multiple studies or programs. This role often requires balancing hands-on programming with strategic leadership and mentorship responsibilities.

What is the difference between Associate Director Statistical Programming vs Statistical Programmer?

AspectAssociate Director Statistical ProgrammingStatistical Programmer
Required CredentialsBachelor's or Master's in Biostatistics, Statistics, or related field; experience in clinical trial programmingBachelor's or Master's in similar fields; entry to mid-level experience
Work EnvironmentLeads teams, manages projects, collaborates with cross-functional teamsPerforms programming tasks, supports project teams, executes statistical analyses
Employer & Industry UsagePharmaceutical and biotech companies, clinical research organizationsPharmaceutical companies, CROs, biotech firms

The Associate Director Statistical Programming typically oversees programming teams and manages project deliverables, requiring leadership skills and extensive experience. In contrast, the Statistical Programmer focuses on executing programming tasks under supervision. Both roles are essential in clinical research, but the Associate Director holds more managerial responsibilities and strategic oversight.

What are popular job titles related to Associate Director Statistical Programming jobs in Princeton, NJ?

For Associate Director Statistical Programming jobs in Princeton, NJ, the most frequently searched job titles are:

What job categories do people searching Associate Director Statistical Programming jobs in Princeton, NJ look for?

The top searched job categories for Associate Director Statistical Programming jobs in Princeton, NJ are:

What cities near Princeton, NJ are hiring for Associate Director Statistical Programming jobs?

Cities near Princeton, NJ with the most Associate Director Statistical Programming job openings:

Associate Director Statistical Programming jobs near you
Infographic showing various Associate Director Statistical Programming job openings in Princeton, NJ as of August 2026, with employment types broken down into 97% Full Time, and 3% Part Time. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $293,669 per year, or $141.2 per hour.

Sr. Manager, Biostatistician / Programmer

Legend Biotech US

Somerset, NJ • Hybrid

Full-time

Re-posted 6 days ago

Job description

Legend Biotech is seeking a Sr. Manager, Biostatistician/Programmer as part of the Clinical team based in Somerset, NJ.

Role Overview

The Sr. Manager, Biostatistician/Programmer plays a critical hands-on role in supporting Legend Biotech's clinical development programs by transforming clinical trial data into high-quality analyses, tables, figures, and listings that inform decision-making. This role partners closely with clinical, translational, research stakeholders to deliver timely insights, conduct exploratory and ad hoc analyses, and deeply understand the medical and scientific questions underlying the data. The position requires strong programming expertise, data agility, intellectual curiosity, and the ability to work independently in a fast-moving biotech environment.

Key Responsibilities

  • Develop, validate, and maintain high-quality Tables, Figures, and Listings (TFLs) to support ongoing clinical trials, interim analyses, and internal/external deliverables in compliance with study requirements and standards.
  • Perform hands-on statistical programming and data manipulation to support planned and ad hoc analyses, addressing evolving clinical and scientific questions.
  • Independently explore and interrogate clinical trial data to identify trends, anomalies, and insights that support clinical interpretation and decision-making.
  • Collaborate closely with Biostatistics, Clinical Development, Clinical Operations, Data Management,
  • Translational research and Medical teams to ensure alignment of analyses with protocol objectives and clinical intent.
  • Apply a strong understanding of therapeutic area, disease biology, and clinical endpoints to translate data into meaningful scientific insights.
  • Contribute to analysis datasets, program specifications, programming documentation, and quality control activities in accordance with internal standards and regulatory expectations.
  • Support process improvement initiatives, including enhancing programming efficiency, standardization, and  reproducibility across studies and programs.
  • This role operates with a high degree of autonomy in determining programming approaches, exploratory analyses, and data interrogation strategies to answer clinical questions. The Sr. Manager may independently make decisions related to analysis methods, programming solutions, prioritization of tasks, and investigative follow-up of data issues. Escalation and alignment are expected for changes impacting study-level strategy, major deliverables, timelines with external visibility, or regulatory-facing outputs.

Requirements

  • Master's degree or PhD in Statistics, Biostatistics, Mathematics, Data Science, or a related quantitative discipline.
  • Demonstrated hands-on experience developing TFLs and performing ad hoc and exploratory analyses for clinical trials.
  • Strong understanding of clinical trial design, clinical data structures, and the medical context behind analyses.
  • Proven ability to work independently, manage ambiguity, and drive self-directed discovery from data.
  • Experience supporting oncology and/or cell therapy programs is strongly preferred.
  • Advanced proficiency in SAS for clinical trial analysis and reporting.
  • Working knowledge of R for exploratory analyses and data visualization
  • Strong experience with clinical data standards (e.g., SDTM, ADaM)
  • Experience with or strong willingness to leverage AI-assisted programming tools to accelerate development, enhance code quality, and support efficient generation of Tables, Figures, and Listings (TFLs).

#Li-LB1

#Li-Hybrid

Apply