Senior Statistical Programmer

Job Description

The Senior Statistical Programmer will provide comprehensive programming support for ongoing studies and submissions.

This role involves creating and validating datasets and TLFs, managing vendor oversight, and performing sponsor reviews of deliverables.

Additionally, the Senior Statistical Programmer will create patient profiles, provide ad-hoc programming support, represent programming on project study teams, and collaborate with both in-house staff and external vendors to establish and maintain global programming standards.

Responsibilities

• Independently manage and support multiple global studies simultaneously with minimal oversight.
• Oversee programming tasks, including SDTM, ADa M, and TLF preparation performed by vendors, while managing internal statistical programming activities.
• Collaborate with vendors to ensure accurate programming for analysis and regulatory submissions.
• Participate in project teams, review protocols, statistical analysis plans, and clinical study reports.
• Provide programming support to the data management team, including data reconciliation.
• Assist in identifying and maintaining department procedures and contribute to process improvement initiatives.
• Coordinate with Japanese colleagues to align on global programming procedures and standards.
• Assist in regulatory submissions and support responses to regulatory authority requests.
• Provide expertise in FDA/EMA guidances related to electronic format submissions.
• Ensure compliance with ICH/GCP guidelines and CDISC standards for data structures and validation.

Essential Skills

• Minimum eight years of extensive experience in statistical programming for clinical trials in the pharmaceutical or life sciences industry.
• Expertise in Base SAS, SAS/STAT, SAS/GRAPH, Reporting and Graphical Procedures, Macro, and SAS Version 9.2 or higher.
• Experience with CDISC SDTM/ADa M standards and regulatory submission requirements.
• Proficiency in FDA/EMA regulatory submissions, including CSR support.
• Experience in safety reporting and data integration for ISS/ISE across multiple studies.
• Additional Skills & Qualifications
• Master’s Degree in Computer Science, Data Science, Health Science, Statistics, or a related discipline.
• Preferred experience with R and/or Python.
• Experience with SAS-LSAF (Life Science Analytics Framework) is preferred.
• Strong proficiency in Microsoft Office applications.
• Ability to organize, prioritize, meet deadlines, and work in a dynamic environment.
• Strong interpersonal and communication skills.
• Cultural sensitivity and ability to develop consensus within a multinational organization.

Work Environment

This position requires working in the office at least two days a week.

The company is a leading global specialty pharmaceutical and biotechnology entity with headquarters in Tokyo, Japan, and is expanding its global presence with a new U.

S. manufacturing site in North Carolina.

The work environment supports innovation in biologics and gene- and cell-based therapies, emphasizing patient-focused advancements and strategic partnerships.

The organization values a collaborative culture and offers opportunities for international travel.

Job Type & Location

This is a Contract position based out of Princeton, NJ.

Pay and Benefits

The pay range for this position is $70.00 - $80.00/hr.

Eligibility requirements apply to some benefits and may depend on your jobclassification and length of employment.

Benefits are subject to change and may besubject to specific elections, plan, or program terms.

• If eligible, the benefitsavailable for this temporary role may include the following:
• Medical, dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life & AD&D for the employee and dependents)
• Short and long-term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave)
• Workplace Type

This is a hybrid position in Princeton, NJ.

Application Deadline

This position is anticipated to close on Aug 26, 2026.

The company is an equal opportunity employer and will consider all applications withoutregard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protectedby law.

If you would like to request a reasonable accommodation, such as the modification oradjustment of the job application process or interviewing process due to a disability, please email actalentaccommodation@actalentservices. com for other accommodation options.

• San Francisco
• Fair
• Chance

Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in thecity and county of San Francisco, we will consider for employment qualified applicantswith arrest and conviction records.

• Massachusetts
• Lie

Detector: It is unlawful in Massachusetts to require or administer a lie detector test as acondition of employment or continued employment.

An employer who violates this lawshall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates.

AI helps assess applicationsand qualifications, but final decisions are made by our hiring team.

By applying, youacknowledge and agree that your application may be reviewed using AI tools.

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