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Associate Director Statistical Programming Jobs in New York

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Associate Director Statistical Programming information

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$167.9K

$306.5K

$376.3K

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

As of Sep 15, 2026, the average yearly pay for associate director statistical programming in New York is $306,491.00, according to ZipRecruiter salary data. Most workers in this role earn between $285,000.00 and $352,800.00 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.

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What cities in New York are hiring for Associate Director Statistical Programming jobs?

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Associate Director Statistical Programming jobs near you
Infographic showing various Associate Director Statistical Programming job openings in New York as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Hybrid job distribution, with an average salary of $306,491 per year, or $147.4 per hour.

Associate Director, Statistical Programming - R Implementation

Basking Ridge, NJ • On-site

Daiichi Sankyo, Inc.
See more jobs at Daiichi Sankyo, Inc.external

$171K - $256K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Requisition ID: 2098 Posting Start Date: 8/24/26 At Daiichi Sankyo, we are united by a single purpose, to improve lives around the world through innovative medicines. With a legacy of innovation since 1899, a presence in more than 30 countries, and more than 19,000 employees, we are advancing breakthrough therapies in oncology, cardiovascular disease, rare diseases, and immune disorders. Guided by our 2030 vision to "be an innovative global healthcare company contributing to the sustainable development of society", we are shaping a healthier, more hopeful future for patients, their families, and society. Job Summary The purpose of this job is to provide statistical programming technical support related to R programming, R related system and technology. Develop and drive R programming, package, and R shiny app development. Lead the R programming implementations. Represent programming in DS external collaborations on R technology and capabilities.Responsibilities Lead/contribute to DS R programming system technology development: Lead/contribute to the R programming system development. Act as R programming SME and functional representative of R systems and infrastructure to identify system and technology development needs and to define functional requirements. Provide technical guidance to the development. Lead and may approve UATs. Lead/contribute to resolutions of BDM departmental (internal and external) R related analysis and programming technical issues and difficulties. Lead the trainings and implementations of R system and programming technology. Developing R package and Shiny apps: Contribute to strategy of R programming innovation to support BDM analysis and reporting, such as R shiny apps for data surveillance, visualization, modeling and simulations, and safety signal detection. Lead the development and validations of R package and/or shiny apps. Identify and build the use cases and process/resources to guide the implementations. Lead, advocate and nurture R programming innovation globally within DS. Represent the programming innovation outside of DS and establish the company reputations and images. Develop study specific shiny apps or execute shiny apps at study level. Publish shiny apps for study or against integrated database Representing cross-functional collaborations on R capabilities and systems: Collaborate with RD non-BDM and non-RD R user group or developers. Collaborate with biostat innovation to enhance BDM overall R capabilities and implementations. Collaborate with CSPV to enable/effectively support safety signaling detections and across compounds safety reviews (i.e., ILD). Collaborate with Clinical Development and Clinical Sciences for effective data surveillance Qualifications Education Qualifications Bachelor's Degree an accredited institution in a science or in a technical field such as computer science or mathematics required Master's Degree preferred Experience Qualifications 10 or More Years Bachelor's degree with minimum 10 years (or Master's degree with minimum of 7 years) proven experience required 7 or More Years Previous experiences in R programming area, involved in R and/or Shiny app development and implementation. required Advanced working knowledge of all aspects of the R and SAS programming language used in clinical trials programming. required Advanced working knowledge of CDISC SDTM and ADaM, and extensive experiences of their implementation in clinical trials analysis required Advanced understanding of statistical concepts in support of analyses and reporting of clinical trials. required Having knowledge of all phases of drug development, including early and late phase clinical development and submission required Having solid background of applied statistics required Solid knowledge of new advanced statistical methods using SAS or R required Advanced knowledge in database structures and set-up required Travel RequirementsAbility to travel up to 10% of the time.Daiichi Sankyo, Inc. is an equal opportunity/affirmative action employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. Salary Range: USD$171,120.00 - USD$256,680.00 Download Our Benefits Summary PDF Salary: . Date posted: 08/27/2026

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