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Manager Statistical Programming Jobs in Newark, NJ

2T Consulting

Senior Statistical Analyst

Brooklyn, NY · On-site

We are seeking a Senior Statistical Analyst with strong expertise in SAS and R programming, CDISC ... Proven ability to manage multiple priorities and meet project deadlines in a fast-paced environment.

2T Consulting

Senior Statistical Analyst

Brooklyn, NY · On-site

We are seeking a Senior Statistical Analyst with strong expertise in SAS and R programming, CDISC ... Proven ability to manage multiple priorities and meet project deadlines in a fast-paced environment.

2T Consulting

Senior Statistical Analyst

Ridgefield, NJ · On-site

We are seeking a Senior Statistical Analyst with strong expertise in SAS and R programming, CDISC ... Proven ability to manage multiple priorities and meet project deadlines in a fast-paced environment.

2T Consulting

Senior Statistical Analyst

Hoboken, NJ

We are seeking a Senior Statistical Analyst with strong expertise in SAS and R programming, CDISC ... Proven ability to manage multiple priorities and meet project deadlines in a fast-paced environment.

2T Consulting

Senior Statistical Analyst

Sunnyside, NY · On-site

We are seeking a Senior Statistical Analyst with strong expertise in SAS and R programming, CDISC ... Proven ability to manage multiple priorities and meet project deadlines in a fast-paced environment.

EmergencyMD

Director, Biostatistics

Morristown, NJ · On-site

$150 - $210/hr

The role involves collaborating with clinical and development teams, including clinicians, clinical scientists, statistical programmers, data managers, regulatory, and clinical operations ...

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All JobsStatistical Programming JobsManager Statistical Programming JobsManager Statistical Programming Jobs in Newark, NJ

Manager Statistical Programming information

See Newark, NJ salary details

$88.3K

$153.8K

$260.1K

How much do manager statistical programming jobs pay per year?

As of Aug 11, 2026, the average yearly pay for manager statistical programming in Newark, NJ is $153,833.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,600.00 and $167,100.00 per year, depending on experience, location, and employer.

What is a manager statistical programming?

A Manager Statistical Programming oversees a team of statistical programmers who support clinical trials and research by developing, validating, and maintaining statistical programs. They ensure compliance with regulatory requirements, manage project timelines, and collaborate with statisticians, data managers, and other stakeholders. This role requires strong programming skills in SAS or other statistical software, leadership abilities, and expertise in clinical data standards such as CDISC.

What are the typical daily responsibilities of a manager statistical programming?

As a Manager Statistical Programming, your daily responsibilities usually include overseeing a team of statistical programmers, coordinating the development and validation of statistical programs for clinical trial data analysis, and ensuring deliverables meet regulatory and company quality standards. You will often interact with biostatisticians, data managers, and clinical teams to align programming outputs with study goals. Additionally, you may review project timelines, allocate resources, mentor junior programmers, and contribute to process improvement initiatives. This multifaceted role requires balancing technical oversight with leadership and interdepartmental communication.

What are the key skills and qualifications needed to thrive in the manager statistical programming position, and why are they important?

To excel as a Manager Statistical Programming, you need a solid background in statistics, programming (such as SAS, R, or Python), and experience with clinical trial data management, often supported by a degree in statistics, mathematics, or a related field. Familiarity with regulatory guidelines (e.g., FDA, ICH), data standards such as CDISC, and certifications in relevant programming languages or clinical data processes are highly beneficial. Strong leadership, project management, and effective communication skills are essential for guiding teams and collaborating with cross-functional departments. These skills enable the manager to deliver high-quality statistical programming deliverables, ensure regulatory compliance, and drive team performance in a deadline-driven environment.

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What job categories do people searching Manager Statistical Programming jobs in Newark, NJ look for? The top searched job categories for Manager Statistical Programming jobs in Newark, NJ are:
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Manager Statistical Programming jobs near you
Infographic showing various Manager Statistical Programming job openings in Newark, NJ as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $153,833 per year, or $74 per hour.

Senior Statistical Analyst

2T Consulting

Brooklyn, NY • On-site

Full-time

Posted 4 days ago

Job description

We are seeking a Senior Statistical Analyst with strong expertise in SAS and R programming, CDISC standards, and clinical trial data analysis. The ideal candidate will collaborate with statisticians and cross-functional teams to develop ADaM datasets, generate TLFs, support regulatory submissions, and ensure high-quality statistical programming deliverables for clinical studies.

Primary Responsibilities

*Collaborate with statisticians to develop and implement Statistical Programming Plans (SPPs) and Statistical Analysis Plans (SAPs).
*Program, validate, and maintain ADaM datasets, statistical analyses, and programming deliverables using SAS and R.
*Generate and validate Tables, Listings, and Figures (TLFs) for clinical study reports, safety reports, and regulatory submissions.
*Create and maintain programming documentation, including specifications, annotated code, validation plans, and programming guidelines.
*Perform quality control and validation of statistical programming outputs to ensure compliance with CDISC standards and regulatory requirements.
*Support ad hoc statistical analyses, exploratory data analyses, and data visualization requests.
*Develop and maintain reusable programming macros, utilities, and automation tools to improve efficiency and consistency.
*Provide programming support during regulatory submissions, audits, and inspections.
*Collaborate with study teams to resolve programming and data-related issues while ensuring timely project delivery.
*Identify project risks, escalate issues when necessary, and provide regular status updates.
*Mentor and train junior programmers and contribute to continuous process improvement initiatives.
*Stay current with industry best practices, regulatory guidelines, and advancements in statistical programming.

Required Skills & Qualifications

*Strong proficiency in SAS and R programming for clinical trial data analysis.
*Experience programming and validating ADaM datasets, TLFs, and statistical analyses.
*Advanced knowledge of CDISC standards, including ADaM and SDTM.
*Solid understanding of clinical trial processes, statistical methodologies, and regulatory requirements.
*Experience in therapeutic areas such as Oncology, Immunology, Neuroscience, or other clinical domains.
*Strong analytical, troubleshooting, and problem-solving skills.
*Excellent attention to detail with a strong focus on quality and compliance.
*Effective written and verbal communication skills.
*Ability to collaborate with statisticians, clinical study teams, and external stakeholders.
*Proven ability to manage multiple priorities and meet project deadlines in a fast-paced environment.

Preferred Qualifications

*Experience supporting global clinical trials and regulatory submissions.
*Knowledge of clinical data visualization and exploratory data analysis.
*Experience developing standardized SAS macros and programming utilities.
*Prior experience mentoring or leading statistical programming teams.
*Familiarity with FDA, EMA, and ICH regulatory guidelines for clinical data submissions.

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