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Entry Level Statistical Programmer Jobs in Washington

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 ...

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 ...

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 ...

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 ...

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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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 Aug 20, 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:

Infographic showing various Entry Level Statistical Programmer job openings in Washington as of August 2026, with employment types broken down into 1% Internship, 80% Full Time, 11% Part Time, 2% Temporary, and 6% Contract. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution, with an average salary of $166,822 per year, or $80.2 per hour.

Entry-Level Data Engineer / Data Scientist

The Prospective Group (TPG)

Washington, DC

$90K - $110K/yr

Full-time

Posted 15 days ago


Job description

Clearance required: Secret
The Prospective Group (TPG) is seeking a motivated, recent graduate to join our team as an Entry-Level Data Engineer / Data Scientist. This role is ideal for someone with a strong foundation in data analytics, statistical modeling, and programming who is eager to apply academic and project experience to real-world business problems. The candidate will support data pipeline development, statistical analysis, and visualization efforts across the organization.
Key Responsibilities:
  • Assist in building, cleaning, and maintaining large-scale datasets for analysis
  • Develop and support data pipelines and automated reporting processes
  • Conduct statistical and quantitative analysis to support business decision-making
  • Build dashboards and visualizations to communicate findings to stakeholders
  • Collaborate with cross-functional teams on analytics and reporting projects
  • Support ad hoc data requests and contribute to process improvement initiatives
Minimum Requirements:
  • Bachelor's degree in Data Analytics, Computer Science, or related field
  • Proficiency in SQL and at least one programming language (Python, Java, or R)
  • Experience with Excel and data visualization tools
  • Familiarity with version control systems (GitHub/GitLab)
  • Strong analytical, problem-solving, and communication skills
  • Ability to work both independently and collaboratively in a team environment
Preferred Qualifications:
  • Experience with statistical/regression modeling or predictive analytics
  • Exposure to PCA, KPI development, or dashboard design
  • Coursework or project experience in data structures, algorithms, or big data analytics
  • Familiarity with Jupyter Notebook or RStudio
Position Pay Range:
$90,000 - $110,000 USD
The Prospective Group (TPG) provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.