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Entry Level Statistical Programmer Jobs in Reading, MA

This is an entry-level opportunity for someone who enjoys working with data, solving operational ... Bachelor's degree in business, economics, engineering, mathematics, statistics, operations, life ...

... entry-level data scientist, or engineer) who is looking to move into product. We care more about ... A quantitative or technical background (preferred, not required). e.g., math, statistics, economics ...

We Do Consulting Differently The Associate position is a full-time entry level consulting staff ... statistics, finance, accounting, healthcare administration, healthcare informatics, engineering ...

Performs routine building or system commissioning functions and provides entry-level technical ... Bachelor's Degree in Engineering or closely related discipline. * 0 to 1 years of relevant post ...

Showing results 41-60

Entry Level Statistical Programmer information

See Reading, MA salary details

$89.2K

$155.4K

$262.7K

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

As of Sep 10, 2026, the average yearly pay for entry level statistical programmer in Reading, MA is $155,421.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,900.00 and $168,800.00 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 Reading, MA?

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

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

The top searched job categories for Entry Level Statistical Programmer jobs in Reading, MA are:

What cities near Reading, MA are hiring for Entry Level Statistical Programmer jobs?

Cities near Reading, MA with the most Entry Level Statistical Programmer job openings:

Infographic showing various Entry Level Statistical Programmer job openings in Reading, MA as of September 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 66% In-person, and 34% Remote job distribution, with an average salary of $155,421 per year, or $74.7 per hour.

Management Consulting - Sector Operations - Financial Services Intern - Summer 2027

Boston, MA • On-site

$29.25 - $48/hr

Full-time

Posted 9 days ago


Job description

Industry/Sector

FS X-Sector

Specialism

Operations

Management Level

Intern/Trainee

Job Description & Summary

The Opportunity
As a Management Consulting - Sector Operations - Financial Services Intern, you will engage in a dynamic environment where you will support teams and participate in projects aimed at enhancing operational efficiency and reducing costs across various business operations. Within our Advisory practice, you will gain exposure to a wide range of industries, including banking, insurance, and asset management, providing you with a comprehensive understanding of the financial services sector.
As an Intern, you will focus on learning and gaining exposure to PwC's practices. You will support teams by performing basic tasks and conducting research, while observing professional work environments. This role emphasizes the importance of taking both observational and participatory roles on teams, allowing you to develop your personal brand and contribute to the team's success.
In this role, you will have the opportunity to apply a learning mindset and take ownership of your development. You will be encouraged to ask questions, actively listen, and express ideas clearly. By gathering information from various sources, you will analyze facts and discern patterns, contributing to the optimization and execution support of business processes. This experience will pave the way for future opportunities within the firm.
Responsibilities
- Supporting teams in delivering operational consulting services to financial services clients
- Participating in projects aimed at enhancing business performance and operational efficiency
- Assisting in the analysis of business data to provide insights for decision-making
- Engaging in the development and implementation of change management strategies
- Contributing to the optimization of business processes and workflows
- Collaborating with team members to identify opportunities for cost reduction and process improvement
- Observing and learning from experienced consultants to gain exposure to industry practices
- Applying analytical skills to evaluate business performance metrics and suggest improvements
- Gathering and organizing information to support client engagements and project deliverables
- Developing a foundational understanding of supply chain and core business operations within the financial services sector
What You Must Have
- Currently pursuing or have completed a Bachelor's degree
- Client service intern positions are entry-level and job seekers are traditionally either in their 3rd year of a 4 year degree program or in the 4th year of a 5 year program. Client service interns typically join us during the winter/spring or summer prior to their intended graduation year
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Business Administration, Business Management, Economics, Finance, Communications, Operations Mangement, Supply Chain Management, Engineering, Computer Engineering, Industrial Engineering, Information Technology, Information System, Managment Information Systems, Data Processing, Data Analytics, Data Science, Mathematics, Statistics, International Business
- Preferred cumulative GPA: 3.3
- Preferred major GPA: 3.3
- Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes
- Demonstrating enthusiasm for learning and applying business data analytics
- Supporting teams in operations to improve efficiency and reduce costs
- Participating in projects that involve business transformation and change management
- Observing and learning from experienced professionals in financial services operations

Travel Requirements

Up to 80%

Job Posting End Date

September 26, 2026The salary range for this position is: $29.25 - $48.00. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws.As PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.