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Entry Level Statistical Programmer Jobs in Washington

Goodwin

Assistant, Law School Relations

Washington, DC · On-site

... programming efforts, industry branding and social media efforts, and the entry-level onboarding ... statistical reporting and metrics; * Serve as a primary administrator for the shared Law School ...

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Entry Level Statistical Programmer information

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$95.7K

$166.8K

$282K

How much do entry level statistical programmer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for entry level statistical programmer in Washington is $166,822.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,600.00 and $181,200.00 per year, depending on experience, location, and employer.

What does an entry level statistical programmer do?

An Entry Level Statistical Programmer assists in analyzing data using statistical software, such as SAS or R, primarily in industries like pharmaceuticals, healthcare, or research. They are responsible for coding, cleaning, and organizing datasets, generating tables, listings, and figures, and ensuring data accuracy. These programmers work closely with statisticians and data managers to support clinical trials or research projects. The role serves as a foundation for more advanced programming and data analysis positions.

What are the key skills and qualifications needed to thrive as an entry level statistical programmer?

To thrive as an Entry Level Statistical Programmer, you need a solid understanding of statistics, programming (especially in SAS, R, or Python), and a relevant degree such as in statistics, mathematics, or computer science. Familiarity with data analysis tools, statistical software (like SAS or R), and version control systems is typically required, and SAS certification can be an advantage. Attention to detail, problem-solving ability, and effective communication are valuable soft skills for this role. These skills and qualities are crucial for accurate data analysis, efficient collaboration, and producing reliable results in data-driven environments.

What are some common challenges faced by entry level statistical programmers when transitioning from academic projects to real-world clinical trial data?

Entry level statistical programmers often find the transition to industry challenging due to the complexity of real-world clinical trial data, strict regulatory requirements, and the need to adhere to standardized processes like CDISC. Unlike academic projects, the work environment emphasizes collaboration with statisticians, data managers, and clinical teams, making communication and teamwork vital. Additionally, maintaining high-quality documentation and learning to use industry-specific tools and programming standards are crucial for success. Seeking mentorship and being proactive in learning these processes can help new programmers adapt more quickly.

What is the difference between Entry Level Statistical Programmer vs Data Analyst?

AspectEntry Level Statistical ProgrammerData Analyst
Required CredentialsBachelor's in Statistics, Biostatistics, or related field; basic programming skills (SAS, R)Bachelor's in Statistics, Data Science, or related field; proficiency in Excel, SQL, and visualization tools
Work EnvironmentPharmaceutical or clinical research settings; focus on data processing and programmingVarious industries including finance, marketing, healthcare; focus on data interpretation and reporting
Employer & Industry UsagePharmaceutical companies, CROs, biotech firmsCorporations, consulting firms, healthcare organizations

While both roles involve working with data, Entry Level Statistical Programmers primarily focus on programming and data management within clinical or research settings, whereas Data Analysts interpret data to inform business decisions across various industries.

What are the most commonly searched types of Statistical Programmer jobs in Washington?

The most popular types of Statistical Programmer jobs in Washington are:

What are popular job titles related to Entry Level Statistical Programmer jobs in Washington?

For Entry Level Statistical Programmer jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Entry Level Statistical Programmer jobs in Washington look for?

The top searched job categories for Entry Level Statistical Programmer jobs in Washington are:

What cities in Washington are hiring for Entry Level Statistical Programmer jobs?

Cities in Washington with the most Entry Level Statistical Programmer job openings:

Entry Level Statistical Programmer jobs near you
Infographic showing various Entry Level Statistical Programmer job openings in Washington as of August 2026, with employment types broken down into 1% Internship, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 80% Physical, 3% Hybrid, and 17% Remote job distribution, with an average salary of $166,822 per year, or $80.2 per hour.

NIST PREP Postdoc Associate in Modeling and Mechanical Testing for Heterogenous Structures of Advanc

Gaithersburg, MD • On-site

Southeastern Universities Research Association
11 - 50 employees
Learn more about Southeastern Universities Research Associationexternal

$82K - $87K/yr

Full-time

Re-posted 11 days ago

Job description

This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, and thus requires that such institutions be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration.
Research Title: Modeling and Mechanical Testing for Heterogenous Structures of Advanced Semiconductor Packaging
The work will entail: The Infrastructure Materials Group at the National Institute of Standards and Technology seeks a researcher with extensive expertise in finite element analysis and knowledge of one or more of the following technical areas: instrumented mechanical testing, adhesion testing, polymer degradation characterization, and material damage analysis and modeling.
If selected, you will play a significant role in the projects related to modeling and reliability testing of advanced chip packaging and other electronics applications. This includes working with NIST staff and external partners on setting up models to predict the behavior and investigate possible points of failure during the service lifetime of heterogeneous multilayered polymeric, metal, and semiconductor structures, identify crucial material parameters, and plan and execute experimental research to evaluate changes of these material parameters after aging. The results will be used to understand the root causes of the multilayer failures, providing a scientific basis for test method development, material selection, and product quality assurance for the semiconductor industry.
Key responsibilities will include but are not limited to:
  • Developing finite element models of thermomechanical behavior of heterogeneous multilayered systems.
  • Characterizing the degradation of materials and interfaces before, during, and after exposure to accelerated laboratory aging.
  • Developing reliability models for complex advanced packaging systems.
  • Providing technical leadership on finite element modeling of failure mechanisms in multilayered polymeric structures.
  • Disseminating research results through presentations at conferences, publication of journal papers, and technical reports.

Qualifications
  • U.S. citizenship is preferred
  • Currently live in the United States
  • Ph.D. in Physics / Mechanical Engineering / Electrical Engineering / Materials Science / Chemical Engineering
  • Experience in nano- and micro-scale mechanical testing and materials characterization
  • Experience in finite element modeling of heterogeneous systems
  • Experience in advanced semiconductor packaging is preferred
  • Strong oral and written communication skills

Privacy Act StatementAuthority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)
Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program.
Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.
Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated. By applying to a CHIPS-funded PREP opportunity, you also acknowledge that participation in the project requires signing a Non-Disclosure Agreement (NDA) prior to beginning any work.
SURA is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.
PREP0004384

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