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Associate Statistical Programmer Jobs in Virginia

Associate Data Scientist

Arlington, VA

$67K - $68K/yr

Proficient with at least one mathematical/statistical programming package (e.g., R, python numpy/scipy/pandas/polars, MATLAB, etc.) * Innovative and inquisitive with ability to imagine novel ...

Works with mathematical concepts such as probability and statistical inference, and fundamentals of ... Associate's Degree in a technical field -OR- High School diploma/equivalent with two (2) years ...

Programming Languages: Experience with statistical programming languages such as Python (using ... Power BI Data Analyst Associate Google Data Analytics Professional Certificate Certified Analytics ...

Experience with statistical programming languages such as Python (using libraries like Pandas ... Power BI Data Analyst Associate • Google Data Analytics Professional Certificate • Certified ...

Works with mathematical concepts such as probability and statistical inference, and fundamentals of ... Associate's Degree in a technical field -OR- High School diploma/equivalent with two (2) years ...

... Statistics - 2 years of experience What Sets You Apart - Certification in Cloud Platforms [e.g ... Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus ...

As a Senior Associate, you will build meaningful client connections and learn how to manage and ... Statistics - Demonstrating proficiency in data engineering platforms like Databricks - Utilizing ...

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Showing results 1-20

Associate Statistical Programmer information

See Virginia salary details

$83.8K

$146K

$246.9K

How much do associate statistical programmer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for associate statistical programmer in Virginia is $146,028.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,900.00 and $158,600.00 per year, depending on experience, location, and employer.

What is an Associate Statistical Programmer?

An Associate Statistical Programmer is an entry-level professional who assists in the programming and analysis of clinical trial data, primarily within the pharmaceutical or biotechnology industries. They use statistical software, such as SAS or R, to create, validate, and maintain datasets, tables, listings, and figures required for clinical study reports. Their work supports biostatisticians and clinical teams in ensuring data accuracy and regulatory compliance. This role is ideal for those with a background in statistics, mathematics, or computer science, looking to start a career in clinical data analysis.

How does an Associate Statistical Programmer typically collaborate with biostatisticians and data managers in clinical research projects?

As an Associate Statistical Programmer, you will frequently collaborate with biostatisticians to understand statistical analysis plans and translate them into clear programming specifications. You’ll also work closely with data managers to ensure data integrity and resolve any data discrepancies before analysis. Effective communication and teamwork are essential, as you’ll often participate in project meetings, provide programming support, and help deliver high-quality datasets and reports under tight timelines. This collaborative environment is key to ensuring accurate and timely clinical trial results.

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

AspectAssociate Statistical ProgrammerStatistical Programmer
Required CredentialsBachelor's degree in statistics, mathematics, or related field; some roles may require basic programming skillsBachelor's or master's degree; more experience in programming and statistical analysis
Work EnvironmentEntry-level, supporting senior programmers; often in clinical research or pharmaceutical companiesMore independent, handling complex analyses; similar industry settings
Employer & Industry UsageCommon in clinical trials, pharmaceutical, and biotech companiesUsed across similar industries, often as a step up from associate roles

The main difference between an Associate Statistical Programmer and a Statistical Programmer lies in experience and responsibility level. Associate roles are typically entry-level, focusing on supporting tasks under supervision, while Statistical Programmers handle more complex analyses independently. Both roles are vital in clinical research and biotech industries, with the associate position serving as a stepping stone to more advanced programming roles.

Are SAS Programmers in demand?

SAS Programmers are in demand in industries such as pharmaceuticals, healthcare, and finance, where data analysis and regulatory compliance are critical. The role often requires knowledge of SAS software, statistical methods, and data management, with job growth driven by increasing data-driven decision making in these sectors.

What are the key skills and qualifications needed to thrive as an Associate Statistical Programmer, and why are they important?

To thrive as an Associate Statistical Programmer, you need a solid background in statistics, programming (especially SAS or R), and familiarity with clinical trial data, typically supported by a degree in statistics, mathematics, or a related field. Proficiency with statistical software (such as SAS, R, or Python), CDISC standards, and data management tools is essential, and certifications in SAS programming can be advantageous. Attention to detail, strong problem-solving abilities, and effective communication skills help you collaborate with clinical teams and ensure data quality. These skills and qualities are vital for delivering accurate statistical analyses that support regulatory submissions and evidence-based decision-making in clinical research.

Can AI replace SAS?

As an Associate Statistical Programmer, AI tools can assist with data analysis and automation tasks traditionally performed using SAS, but they are not yet capable of fully replacing SAS software for complex statistical programming. Professionals often need to combine AI with SAS skills to improve efficiency and accuracy in clinical data management and analysis. Mastery of SAS remains valuable for regulatory compliance and detailed statistical work.

What is the salary of associate statistical programmer in Iqvia?

The salary for an Associate Statistical Programmer at IQVIA typically ranges from $60,000 to $80,000 annually, depending on experience, location, and education. Entry-level positions may start lower, while experienced programmers with relevant skills in SAS or R can earn higher salaries. Benefits often include health insurance, retirement plans, and opportunities for professional development.

What is SAS developer salary?

The salary for an Associate Statistical Programmer specializing in SAS typically ranges from $60,000 to $85,000 annually, depending on experience, location, and certifications. Entry-level positions may start lower, while experienced SAS developers with advanced skills can earn higher salaries, especially in the pharmaceutical and biotech industries where SAS is widely used.
What are the most commonly searched types of Statistical Programmer jobs in Virginia? The most popular types of Statistical Programmer jobs in Virginia are:
What job categories do people searching Associate Statistical Programmer jobs in Virginia look for? The top searched job categories for Associate Statistical Programmer jobs in Virginia are:
What cities in Virginia are hiring for Associate Statistical Programmer jobs? Cities in Virginia with the most Associate Statistical Programmer job openings:
Infographic showing various Associate Statistical Programmer job openings in Virginia as of June 2026, with employment types broken down into 1% Internship, 69% Full Time, 10% Part Time, 6% Temporary, and 14% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $146,028 per year, or $70.2 per hour.

Biostatistical Prograrmming Manager

Amgen

Virginia Beach, VA • On-site

Full-time

Posted 2 days ago


Job description

Career CategoryClinicalJob Description

Biostatistical Programming Manager

What you will do

Let's do this. Let's change the world. In this vital role you will provide both strategic oversight and hands-on statistical programming support to enable high-quality and timely clinical trial deliverables.

This role is part of the centrally managed Quality and Quick Response (QQR) Programming team and is responsible for supporting urgent and high-priority programming needs across development programs. The manager will serve as a technical programming expert who can rapidly respond to internal and external requests, support special projects, provide global quality oversight, and contribute directly to programming deliverables when needed.

This role will primarily support programs within the Obesity Therapeutic Area and requires close collaboration with cross-functional teams to support fast-paced development activities and evolving business priorities.

Responsibilities

Provide rapid response statistical programming support for urgent internal and external requests

Serve as a lead programmer for studies and projects, such as Data Access Plan (DAP) activities, unblinding efforts, and special projects

Deliver hands-on programming support for SDTM, ADaM, Tables, Listings, and Figures (TFLs), and other study and regulatory submission deliverables as needed

Oversee the execution and quality of projects managed by our FSP partners per Amgen Global Statistical Programming (GSP) Quality Oversight Plan (QOP)

Ensure that FSP and in-house programming deliverables meet quality, compliance, timeline, and productivity expectations

Mitigate at-risk projects by providing technical expertise, programming support, and operational guidance

Contribute to training material development and delivery to internal teams and FSP partners

Provide guidance and technical consultancy to study programming team on Amgen processes, tools, and utilities

Lead/contribute to GSP continuous improvement iniatives and support cross-functional initiatives including inspection readiness, process improvement, innovation, and training activities

Contribute to programming team performance metrics development, data collection, and reporting

Review project documentation such as specifications, issue logs, deliverable status for accuracy and completeness

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The dynamic professional we seek is a manager with these qualifications.

Basic Qualifications:

Doctorate degree OR

Master's degree and 2 years of statistical programming experience OR

Bachelor's degree and 4 years of statistical programming experience OR

Associate's degree and 8 years of statistical programming experience OR

High school diploma / GED and 10 years of statistical programming experience

Preferred Qualifications:

Masters in Computer Science, Statistics, Mathematics, Computer Science, Life Sciences or another relevant scientific subject

6+ years of statistical programming in biopharmaceutical industry

Regulatory submission experience

Strong hands-on SAS programming expertise including SAS Base, Macro, SQL, SAS/Graph and Stat packages

Experience with R programming for clinical trial analyses, data manipulation, reporting and visualization preferred

Familiarity with additional programming languages and tools such as Python preferred

Hands-on experience developing and validating SDTM, ADaM datasets, and TFLs

Thorough understanding of clinical trial processes from data collection through analysis and reporting

Ability to lead programmers in successful completion of all study programming activities and provide guidance on technical and process questions

Strong understanding of data standards and compliance checks including Pinnacle 21

Experience providing quality oversight for outsourced and internal programming deliverables

Ability to troubleshoot complex technical issues and turnaround at-risk projects

Experience working in a globally dispersed team on Phase 1-4 clinical trials

Experience supporting clinical development programs within the Obesity Therapeutic Area preferred

Understanding of obesity clinical endpoints, data standards, and regulatory considerations is highly desirable

Excellent oral and written English communication skills; strong collaboration, negotiation, and organizational skills

.

Salary Range

129,056.35USD -174,605.65USD