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Entry Level Statistical Programmer Jobs in Philadelphia, PA

PennEngineering

Cold Forming Operator

Danboro, PA · On-site

$16.25 - $19.75/hr

Join us as we build the future in Manufacturing and Engineering! PERKS AND BENEFITS: * Medical ... Completes paperwork and statistical process control (SPC) charts as necessary. * Detects and ...

All JobsStatistical Programmer JobsEntry Level Statistical Programmer JobsEntry Level Statistical Programmer Jobs in Philadelphia, PA

Entry Level Statistical Programmer information

See Philadelphia, PA salary details

$85.3K

$148.6K

$251.3K

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

As of Aug 25, 2026, the average yearly pay for entry level statistical programmer in Philadelphia, PA is $148,630.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,100.00 and $161,500.00 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 Philadelphia, PA?

The most popular types of Statistical Programmer jobs in Philadelphia, PA are:

What are popular job titles related to Entry Level Statistical Programmer jobs in Philadelphia, PA?

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

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

The top searched job categories for Entry Level Statistical Programmer jobs in Philadelphia, PA are:

Entry Level Statistical Programmer jobs near you
Infographic showing various Entry Level Statistical Programmer job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% Internship, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $148,630 per year, or $71.5 per hour.

Entry Level Business Analyst

Philadelphia, PA

Data Cloud Merge
See more jobs at Data Cloud Mergeexternal

Full-time

Re-posted 3 days ago

Job description

Company Description

Data Cloud Merge is a communications Company that was established in the year 2002 and located in Jersey City, New Jersey. It has gained a lot of experience in providing innovations in IT that were formerly found in large companies alone. The Company provides dedicated IT innovations at friendly prices unlike other companies that operate on big budgets. It was established with the objective of serving the private sector with these innovations through their dedicated departments of IT.

Job Description
  • Work with the analytics team to develop an activity-based costing model for providing trends, forecasts, and cost-reducing actions.
  • Process flowcharts included requests for new processes or changes to existing processes and further creating and maintaining comprehensive project documentation.
  • Create and maintain reports/dashboards/data/metrics used to measure and ensure success.
  • Assist and produce standard reports, charts, graphs, and tables from a structured data source by querying data repositories using Python and SQL.
  • Validate Data to check for the proper conversion of the data. Data cleansing to identify unnecessary data and clean, data profiling for accuracy and consistency.
Qualifications
  • Masters or Bachelors in Information Systems, Engineering Management, Analytics, Computer Science, or related.
  • Proficient in managing the entire project life cycle including Data Acquisition, Data Preparation, Data Manipulation, Statistical Modelling, Testing and Validation, Visualization, and Reporting.
  • Solid understanding of statistical analysis, predictive analytics, machine learning, data mining, quantitative analytics, and optimization algorithms.
  • Advanced working SQL knowledge and experience working with relational databases and Python.
Additional Information

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