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Statistical Programmer Jobs in Harrison, NJ (NOW HIRING)

The role of the Senior Statistical Programmer is to perform statistical programming activities for all assigned Phase I-IV clinical studies. This position performs statistical programming for ...

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Statistical Programmer information

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$88.5K

$154.3K

$260.8K

How much do statistical programmer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for statistical programmer in Harrison, NJ is $154,271.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,900.00 and $167,600.00 per year, depending on experience, location, and employer.

What is a statistical programmer?

Statistical programmers are professionals who use statistical software and programming languages, such as SAS, R, or Python, to manage, analyze, and report data, often in clinical trials, public health, or research settings. They play a crucial role in transforming raw data into meaningful results by writing code for data cleaning, data manipulation, statistical analysis, and generating reports. Statistical programmers often work closely with statisticians, data managers, and researchers to ensure the accuracy and integrity of data analyses. Their work is essential in industries like pharmaceuticals, healthcare, and academia.

What does a statistical programmer do?

A statistical programmer creates statistical programming deliverables. You ensure excellent programming of analysis-ready data, tables, and figures. You may use Stata for general purpose statistical analysis or SPSS for interactive or batched statistical analysis. Your responsibilities include developing standard operating procedures and complying with guidelines. Other duties include remaining informed on developments in programming standards and meeting all regulatory requirements. You also create PROC statements that call upon named procedures for analysis. You develop programs for dataset integration, prepare resource plans, and assist with quality control of datasets.

What are the key skills and qualifications needed to thrive as a statistical programmer, and why are they important?

To thrive as a Statistical Programmer, you need a strong background in statistics, data analysis, and programmingβ€”typically with a degree in statistics, mathematics, computer science, or a related field. Expertise in statistical software such as SAS, R, or Python and familiarity with data management systems like CDISC or SQL are often required, along with relevant certifications. Strong problem-solving abilities, attention to detail, and clear communication skills help you interpret data accurately and collaborate effectively with cross-functional teams. These skills ensure the delivery of high-quality, reproducible statistical analyses crucial for informed decision-making in research and industry settings.

What are some common challenges faced by statistical programmers when working on clinical trial data?

Statistical Programmers often encounter challenges such as managing large, complex datasets, ensuring data integrity, and adhering strictly to regulatory standards (like CDISC SDTM and ADaM). They must also collaborate closely with biostatisticians and data managers to accurately translate statistical analysis plans into code. Tight project timelines and shifting priorities can require strong organizational skills and adaptability. Effective communication and attention to detail are essential for navigating these challenges and delivering reliable results.

What is the difference between Statistical Programmer vs Data Analyst?

AspectStatistical ProgrammerData Analyst
Required CredentialsBachelor's in Statistics, Biostatistics, or related field; experience with SAS, R, or PythonBachelor's in Statistics, Data Science, or related field; proficiency in Excel, SQL, and visualization tools
Work EnvironmentPharmaceutical, clinical research, or healthcare industries; focus on programming and data managementVarious industries including finance, marketing, healthcare; focus on data interpretation and reporting
Employer & Industry UsageCommon in clinical trials, biotech, pharma companiesUsed across multiple sectors like finance, retail, and healthcare

While both roles handle data, Statistical Programmers primarily focus on programming and managing clinical or research data, whereas Data Analysts interpret data to generate insights across various industries. The roles often overlap in skills like statistical software proficiency but differ in their core responsibilities and industry focus.

What are popular job titles related to Statistical Programmer jobs in Harrison, NJ?

For Statistical Programmer jobs in Harrison, NJ, the most frequently searched job titles are:

What cities near Harrison, NJ are hiring for Statistical Programmer jobs?

Cities near Harrison, NJ with the most Statistical Programmer job openings:

Infographic showing various Statistical Programmer job openings in Harrison, NJ as of August 2026, with employment types broken down into 86% Full Time, 4% Part Time, and 10% Contract. Highlights an 79% In-person, 2% Hybrid, and 19% Remote job distribution, with an average salary of $154,271 per year, or $74.2 per hour.

Director/Principal, Statistical Programming

New York, NY β€’ Remote

LB Pharmaceuticals
11 - 50 employees

$233K - $244K/yr

Full-time

Re-posted 9 days ago


Job description

The Director of Statistical Programming is a pivotal, newly created role at LB Pharmaceuticals, reflecting our commitment to building a best-in-class internal Biometrics capability. This individual will serve as the founding leader of our Statistical Programming function, responsible for building the team, infrastructure, and processes from the ground up. The Director will be a hands-on programmer and strategic partner, working closely with the VP of Biometrics, Biostatistics, Clinical Operations, and Regulatory Affairs to support late-stage clinical trials and NDA submission planning.

Responsibilities

Infrastructure Building

  • Design and implement the programming infrastructure, including SAS/R environments, standard macros, validation frameworks, SDTM/ADaM libraries, and TLF shells aligned with CDISC standards.
  • Develop and maintain SOPs, work instructions, and best practices for all statistical programming activities.

Hands-On Programming & Deliverables

  • Serve as lead programmer on CNS clinical trials (schizophrenia, bipolar depression, MDD), including Phase 2 and Phase 3 studies.
  • Develop and validate SDTM and ADaM datasets, TLFs, and supporting documentation for regulatory submissions in full compliance with FDA and ICH guidelines.
  • Lead statistical programming activities for IND/NDA submissions, including Integrated Summary of Safety (ISS), Integrated Summary of Efficacy (ISE), eCTD packaging, Define.xml, Reviewer's Guide, and CDISC compliance checks.
  • Collaborate with Biostatistics to implement statistical analysis plans (SAPs) and provide programming support for ad hoc analyses.

Vendor Oversight & Governance

  • Oversee and manage CRO/vendor statistical programming activities, including scope of work definition, timeline management, quality review, and deliverable acceptance.
  • Establish vendor governance frameworks including quality oversight plans, technical review checklists, and escalation pathways.
  • Ensure vendor-produced datasets, TLFs, and submission packages meet internal and regulatory standards prior to acceptance.

Regulatory & Cross-Functional Collaboration

  • Partner with Regulatory Affairs and Biostatistics to develop and execute the NDA submission strategy and data package planning for LB-102.
  • Liaise with FDA on data standards, submission requirements, and any technical queries related to statistical programming deliverables.
  • Collaborate with Clinical Data Management to ensure alignment on data flow, edit checks, database lock timelines, and data quality.
  • Contribute to Health Authority meetings and respond to regulatory requests related to statistical programming.

Qualifications

  • Bachelor’s or Master’s degree in Statistics, Computer Science, Mathematics, or a related quantitative field.
  • Minimum 10 years of statistical programming experience in the pharmaceutical or biotech industry, with at least 3 years in a leadership or senior role.
  • Demonstrated experience supporting NDA or BLA submissions, including hands-on SDTM/ADaM development and regulatory-grade TLF production.
  • Deep expertise in SAS (Base, Macro, STAT, ODS); proficiency in R is highly desirable.
  • Strong working knowledge of CDISC standards (SDTM, ADaM, SEND, Define.xml) and FDA/ICH submission guidelines (including 21 CFR Part 11).
  • Proven ability to manage and oversee CRO/vendor programming deliverables in a sponsor oversight capacity.
  • Experience in a small or mid-size biotech environment, including comfort with ambiguity and ability to build processes from scratch.
  • Experience in CNS therapeutic areas, particularly schizophrenia, bipolar disorder, or MDD preferred.
  • Familiarity with FDA expectations for CNS endpoint programming (e.g., PANSS, MADRS, YMRS, CGI scales) preferred.
  • Prior experience building or standing up a statistical programming function at a growing biotech preferred. .
  • PharmaSUG, CDISC, or equivalent industry certifications preferred. 


The posted salary range reflects the minimum to maximum base pay for this position in the specified location. Actual compensation may vary based on factors such as geographic location, experience, education, licensure requirements, and skill level, and will be determined at the time of offer. Base Salary Range: $233,175-$244,130.

The Values We Hope You Share  

Purpose Driven– We are optimistic, focused and committed to delivering on our vision. We are hard-working, compliant, relentless and impatient in our pursuit of treatments. We set competitive company goals to significantly and positively impact the lives of our patients, employees and shareholders. We have a sense of urgency to every action we make.  

Transparent – We trust each other and expect honest and open communication to enable good decision making. We are humble, genuine and direct. Words match our behaviors. We hold each other accountable. We embrace the tough conversations to achieve success.

Bold – We are courageous in our pursuit of excellence. Unafraid of risks. Unafraid of challenging assumptions. Unafraid of challenges. Unafraid of success.

Intelligent – We are curious, passionate and self-aware. We are agile, adaptable and seek diverse experience, knowledge, and skills to make informed, data driven decisions. We anticipate the needs of others, and we adapt quickly to challenges and find solutions. We rely on our collective experiences to diligently develop, strategically plan and efficiently execute our vision. 

Unified – We collaborate as we strive for excellence. We rely on each other, and we have each other’s backs. We encourage constructive feedback to continually improve. We support each other; we laugh together. We celebrate each other’s successes and band together in times of hardship. We foster and appreciate genuine relationships.

Our values underpin the employee experience at LB Pharmaceuticals. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively.