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Entry Level Statistical Programmer Jobs in Washington, DC

Tecolote Research

Entry Level Analyst

Washington, DC · On-site

$55K - $75K/yr

Use analytical tools such as ACEIT, Excel and other Microsoft Office applications Skills Required * 24 semester hours of quantitative course work (mathematics, statistics, engineering, physics ...

Augur Consulting

Entry-Level Analyst

Arlington, VA · On-site

Entry-Level Analyst U.S. citizenship required. Are you a critical thinker with acumen for problem ... Statistics, Finance, Business, Physics, Engineering, etc.) Requirements: Candidates must be ...

IBM

Federal Associate Data Scientist 2027

Herndon, VA · On-site

$60K - $61K/yr

... entry-level positions. You'll receive a status update email for each application, so be sure to ... statistical programming languages, such as R, Python, Scala, SAS, SPSS, or Matlab * You have a ...

APOGEE RESEARCH LLC

Algorithm Engineer

Arlington, VA · On-site

Understanding of probability and statistics is required, experience with control systems is desired ... This is not an entry level position and real-world experience is required. While this role is not ...

APOGEE RESEARCH LLC

Algorithm Engineer

Arlington, VA · On-site

Understanding of probability and statistics is required, experience with control systems is desired ... This is not an entry level position and real-world experience is required. While this role is not ...

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All JobsStatistical Programmer JobsEntry Level Statistical Programmer JobsEntry Level Statistical Programmer Jobs in Washington, DC

Entry Level Statistical Programmer information

See Washington, DC salary details

$95.7K

$166.8K

$282K

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

As of Aug 27, 2026, the average yearly pay for entry level statistical programmer in Washington, DC 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 popular job titles related to Entry Level Statistical Programmer jobs in Washington, DC?

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

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

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

Entry Level Statistical Programmer jobs near you
Infographic showing various Entry Level Statistical Programmer job openings in Washington, DC as of August 2026, with employment types broken down into 1% Internship, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution, with an average salary of $166,822 per year, or $80.2 per hour.

Entry Level Analyst

Washington, DC • On-site

Tecolote Research
Business Management Consulting • 501 - 1,000 employees
Learn more about Tecolote Researchexternal

$55K - $75K/yr

Full-time

Re-posted 6 days ago

Job description

Overview
We are seeking highly motivated individuals with a strong work ethic to support US Government major Acquisition programs and projects. The position requires no experience but an interest in data analytics and visualization, financial analysis, cost analysis and budget formulation. Successful candidates will have excellent communication, quantitative, research, and analytical skills.
Responsibilities
Data Analytics
  • Analyze monthly Integrated Program Management Reports, including IPMR/IPMDAR submissions and supporting cost and schedule data.
  • Examine program-performance information to identify unfavorable trends, emerging issues, and areas requiring management attention.
  • Apply forecasting and analytical methods to estimate future program performance.
  • Integrate information from program management, scheduling, finance, engineering, and risk-management sources.
  • Validate contractor or program-office data for completeness, accuracy, consistency, and compliance with reporting requirements.
  • Convert large or complicated datasets into well-structured analyses and actionable recommendations.
  • Support recurring program reviews by explaining performance trends and potential impacts.
  • Use analytical tools such as wInsight, Encore Analytics and Microsoft Office applications.

Cost Analysis, Financial Management and Program Management
  • Conduct cost analyses supporting Life Cycle Cost Estimates, Program Office budgets, contract proposals, and other requested cost products.
  • Develop independent government cost estimates and ad hoc estimates to support acquisition, budgeting, and program-management decisions.
  • Provide analytical support for program controls, financial reporting, budget development, and funds execution.
  • Monitor program cost performance and assess whether work is being completed within approved budgets and performance baselines.
  • Analyze monthly cost, schedule, and technical-performance data to identify trends, variances, risks, and emerging financial issues.
  • Integrate financial data with schedule, technical, risk, and program-performance information to provide a comprehensive view of program status.
  • Develop and assess forecasts for estimated costs at completion, remaining program requirements, funding needs, and potential budget shortfalls.
  • Support the preparation, review, and analysis of Program Office budgets, spend plans, execution reports, and funding requirements.
  • Evaluate contractor proposals, cost estimates, and supporting data for reasonableness, completeness, consistency, and compliance with program requirements.
  • Analyze the financial effects of schedule delays, technical issues, scope changes, risks, and opportunities.
  • Provide cost and financial analysis across individual programs, contracts, work breakdown structures, or broader portfolios.
  • Translate complex cost, budget, and program-performance information into clear findings, recommendations, and decision-ready reporting products.
  • Support baseline development, change control, risk and opportunity management, and corrective-action planning.
  • Use analytical tools such as ACEIT, Excel and other Microsoft Office applications

Skills Required
  • 24 semester hours of quantitative course work (mathematics, statistics, engineering, physics, chemistry, etc.)
  • Proficiency in Microsoft Office (Excel, Word, Access, and PowerPoint)
  • Ability to obtain a DoD Secret Clearance
  • Salary Range: $55,000 - $75,000 /Year depending on experience and qualifications

Education
Bachelor's degree required, preferably in math, engineering, business, or the sciences.

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