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Entry Level Statistical Programmer Jobs in Pennsylvania

Electrical Engineer

University Park, PA · On-site

$76.70K - $129.50K/yr

POSITION SPECIFICS We are searching for an entry level or junior Electrical or Computer Engineer to ... CAMPUS SECURITY CRIME STATISTICS Pursuant to the Jeanne Clery Disclosure of Campus Security Policy ...

$76.70K - $129.50K/yr

POSITION SPECIFICS We are searching for an entry level or junior Electrical or Computer Engineer to ... CAMPUS SECURITY CRIME STATISTICS Pursuant to the Jeanne Clery Disclosure of Campus Security Policy ...

$76.70K - $129.50K/yr

... is seeking entry level Engineers to research, develop, analyze, implement, and test new ... CAMPUS SECURITY CRIME STATISTICS Pursuant to the Jeanne Clery Disclosure of Campus Security Policy ...

$76.70K - $129.50K/yr

We are searching for multiple entry-level engineers to join our Systems and Emerging Capabilities ... CAMPUS SECURITY CRIME STATISTICS: Pursuant to the Jeanne Clery Disclosure of Campus Security Policy ...

$76.70K - $129.50K/yr

The entry-level DevSecOps individual will work as part of a team to perform and review pull ... CAMPUS SECURITY CRIME STATISTICS Pursuant to the Jeanne Clery Disclosure of Campus Security Policy ...

This entry-level position provides an opportunity to join a fast-paced team that provides solutions ... statistical documentation, engineering studies and surveys, and construction. Safely perform work ...

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Showing results 1-20

Entry Level Statistical Programmer information

See Pennsylvania salary details

$84.7K

$147.6K

$249.6K

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

As of May 29, 2026, the average yearly pay for entry level statistical programmer in Pennsylvania is $147,645.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,300.00 and $160,400.00 per year, depending on experience, location, and employer.

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.

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 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 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 Pennsylvania? The most popular types of Statistical Programmer jobs in Pennsylvania are:
What are popular job titles related to Entry Level Statistical Programmer jobs in Pennsylvania? For Entry Level Statistical Programmer jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Entry Level Statistical Programmer jobs in Pennsylvania look for? The top searched job categories for Entry Level Statistical Programmer jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Entry Level Statistical Programmer jobs? Cities in Pennsylvania with the most Entry Level Statistical Programmer job openings:
Java Production Support Engineer (Entry Level)

Java Production Support Engineer (Entry Level)

SynergisticIT

Scranton, PA

Full-time

Posted 29 days ago


Job description

Since 2010 SynergisticIT has helped Jobseekers get employed in the tech Job market by providing candidates the requisite skills, experience and technical competence to outperform at interviews and at clients.
The Tech Job market has been affected by massive layoffs and since 2021 there have been more than 600,000.00 tech layoffs.
The Job market is Hyper Competitive. For 1 position 500-1000 candidates or more are applying and laid off job seekers are also competing for entry level Job positions.
Please see the below links to know more about Synergisticit and some useful tips
Synergisticit Pics /Salaries of Successful Candidates
Synergisticit at Oracle Cloudworld 2023
Synergisticit at Gartner Data & Analytics summit
Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT
We regularly interact with the Top Tech companies to give our candidates a competitive advantage.
We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart labs etc to name a few.
We are continuously looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Data Engineers, Machine Learning engineers for full time positions with clients.
Who Should Apply? Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and looking to make their careers in the Tech Industry.
We need Data Science/Machine learning/Data Analyst and Java Full stack candidates
Preferred SKILLS For Java /Full stack/Devops Positions
Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
Knowledge of Core Java , javascript , C++ or software programming
Spring boot, Microservices, Docker, Jenkins, Github, Kubernates and REST API's experience
For data Science/Data Analyst/AI/Machine learning Positions
Preferred SKILLS
Associate or Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT, Statistics, Mathematics or having good logical aptitude
Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools
Candidates lacking technical skills can research our other programs which can assist in landing a Job
If you get emails from our Job Placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements.