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Entry Level Statistical Programmer Jobs in Washington

Ipsos

Research Analyst, Global Modeling Unit

Washington, DC · Hybrid

$59K - $63K/yr

This is an excellent entry-level opportunity for someone who is interested in starting a career in ... Apply programming skills (Excel VBA, Python, etc.) to help automate standard statistical procedures ...

Ipsos

Research Analyst, Global Modeling Unit

Washington, DC · Hybrid

$59K - $63K/yr

This is an excellent entry-level opportunity for someone who is interested in starting a career in ... Apply programming skills (Excel VBA, Python, etc.) to help automate standard statistical procedures ...

Pwc

AI & GenAI Data Scientist - Manager

Washington, DC · On-site

$99K - $232K/yr

... Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

ICF

Energy and Climate Researcher

Reston, VA · Hybrid

This is an entry-level position , intended for candidates who have 0-1 years of experience and are ... or Energy Engineering, Economics, Chemistry, Math, Statistics, Environmental Sciences ...

ICF

Energy and Climate Researcher

Arlington, VA · Hybrid

This is an entry-level position , intended for candidates who have 0-1 years of experience and are ... or Energy Engineering, Economics, Chemistry, Math, Statistics, Environmental Sciences ...

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All JobsEntry Level Statistical Programmer JobsEntry Level Statistical Programmer Jobs in Washington

Entry Level Statistical Programmer information

See Washington salary details

$95.7K

$166.8K

$282K

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

As of Jun 22, 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 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 is SAS developer salary?

SAS developers, including entry-level statistical programmers, typically earn between $60,000 and $85,000 annually, depending on experience, location, and industry. Proficiency in SAS software, data analysis, and programming skills can influence salary levels for this role.

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, and why are they important?

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.

Will AI replace SAS programmers?

Entry level statistical programmers using SAS perform tasks such as data management, analysis, and reporting that require domain knowledge and programming skills. While AI tools can assist with automating repetitive tasks, they are unlikely to fully replace SAS programmers in complex analysis, interpretation, and validation roles that require critical thinking and expertise. Developing skills in programming, data management, and understanding statistical methods remains valuable in the evolving job market.

Are SAS programmers in demand?

SAS programmers, including entry-level statistical programmers, are in steady demand in industries such as pharmaceuticals, healthcare, and research, where data analysis and regulatory compliance are critical. Proficiency in SAS, along with knowledge of statistical methods and data management, enhances job prospects as organizations seek skilled professionals to handle large datasets and support clinical trials. Demand for SAS skills remains strong due to its widespread use in regulated environments and ongoing need for data analysis expertise.

Is SAS in high demand?

SAS is a widely used statistical software in industries such as healthcare, finance, and pharmaceuticals, making skills in SAS highly sought after for entry-level statistical programmer roles. The demand for SAS programmers remains strong due to its extensive use in data analysis, regulatory compliance, and clinical trials, though some organizations are also adopting open-source tools like R and Python. Proficiency in SAS can improve job prospects and salary potential in data-focused roles.

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.
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Entry Level Statistical Programmer jobs near you
Research Analyst under the Research Analyst Program (RAP)

Research Analyst under the Research Analyst Program (RAP)

International Monetary Fund

Washington, DC • On-site

Full-time

Posted 24 days ago

Job description

Work for the IMF. Work for the World.
Work for the IMF. Work for the World.
The Fund is currently seeking talented and motivated individuals with strong quantitative and analytical skills to join its Research Analyst Program (RAP).
This program offers a unique opportunity for recent graduates to gain useful entry-level analyst experience and contribute to the IMF's important research and analytical projects before pursuing graduate studies. The RAP is limited to a two-year contractual period. All positions are located at the IMF Headquarters in downtown Washington, D.C. with Research Analysts in the RAP hired on a wide geographical basis.
Job Summary
As a RAP participant, you will contribute to, and support the operational and policy work of Fund economists. RAP participants may be asked to conduct research, collect and compile information, access and manipulate macroeconomic data from a wide range of sources. The RAP candidate will be expected to maintain and update economic, financial, and statistical databases, conduct quantitative data analysis utilizing econometric and other statistical tools, evaluate economic, financial or statistical relationships in databases, analyze economic time series data, and design systems to facilitate interfaces or to transfer data between external and in-house databases.
As a research analyst, you will collaborate with economists and others on various projects and stay up to date with the latest developments in economics and related topics.
This opportunity may meet PREDOC requirements for applications to subsequent academic study.
Minimum Qualifications:
• Recent completion of a bachelor's degree in economics, computer science, statistics, mathematics, finance, data science or other related quantitative field is required. Candidates with advanced degrees in the same relevant field may be considered with limited combined professional experience.
• A cumulative GPA of at least 3.5/4.0 (or equivalent for international diplomas) in both the principal field of study and in the overall program.
• Ability to work independently under minimum supervision and be accountable for the accuracy of both data and programs.
• Proficiency in software applications such as Microsoft Office (specifically Excel and PowerPoint), econometric packages such as STATA, EViews, MATLAB and other statistical and analytical tools.
• Knowledge of programming languages like Python and R are desirable.
• Working knowledge of Tableau, familiarity with other data visualization tools, especially PowerBI, or Python/R based, or web design are desirable.
• Strong analytical and quantitative skills.
• Excellent written and verbal communication skills in English.
• Proficiency in other languages is a plus.
Application Instructions:
Applications from all geographical areas are welcome for the RAP.
• Upload your unofficial/official transcript verifying your current/final GPA in your undergraduate studies along with your resume and cover letter in your application. Without uploading proof of GPA or an equivalent indication of academic achievement, your application may not be considered.
• Note that only those identified for an assignment will be contacted to discuss their interest and availability by the hiring manager.
Department:
Hiring For:
A06
The IMF is guided by the principle that the employment, classification, promotion, and assignment of staff shall be made without discrimination against any person. We welcome requests for reasonable accommodations for disabilities during the selection process. Information on how to request accommodations will be provided during the application process.

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