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Entry Level Statistical Programmer Jobs in Texas

AAFES

Replenishment Allocation Spec

Dallas, TX · On-site

Entry level to gain exposure to planning, allocation and replenishment processes and ... ENGINEERING MANAGEMENT - Preferred * MATHEMATICS - Preferred * STATISTICS - Preferred * SUPPLY ...

Kyndryl

The Role Your role The Associate AI Engineer is an entry-level technical role supporting the design ... Statistics, or a related discipline, or equivalent practical experience. * 0-3 years of experience ...

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Entry Level Statistical Programmer information

See Texas salary details

$78.7K

$137.2K

$232K

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

As of Aug 21, 2026, the average yearly pay for entry level statistical programmer in Texas is $137,225.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $149,100.00 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 Texas?

The most popular types of Statistical Programmer jobs in Texas are:

What are popular job titles related to Entry Level Statistical Programmer jobs in Texas?

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

What job categories do people searching Entry Level Statistical Programmer jobs in Texas look for?

The top searched job categories for Entry Level Statistical Programmer jobs in Texas are:

What cities in Texas are hiring for Entry Level Statistical Programmer jobs?

Cities in Texas with the most Entry Level Statistical Programmer job openings:

Entry Level Statistical Programmer jobs near you
Infographic showing various Entry Level Statistical Programmer job openings in Texas as of August 2026, with employment types broken down into 1% Internship, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $137,225 per year, or $66 per hour.

Early-Career Environmental Engineer/Scientist/Geologist

GSI Environmental Inc.

Austin, TX • Hybrid

Full-time

Re-posted 9 days ago

Job description

If you're looking for a fast-paced and dynamic work environment where you can apply your academic know-how, develop superior technical skills, and collaborate with top-notch industry professionals on a variety of exciting environmental projects, then GSI Environmental is the place for you!

At GSI, we seek the best and brightest talent and provide a supportive environment for career development. Our company culture is built on excellent service, teamwork, and technical collaboration to solve the most challenging environmental problems. We have an immediate opening for an entry-level Environmental Engineer/Scientist/Geologist in our Austin, Texas office. Come join our team!

Responsibilities:

  • Perform fieldwork to support environmental assessment, remediation, and restoration projects. Fieldwork may include the collection of groundwater, soil, soil vapor, and surface water.
  • Assist Project Technical Leads in the preparation of high-quality technical presentations, reports, letters, plans, and proposals.
  • Coordinate with vendors, subcontractors, and analytical laboratories and independently perform subcontractor oversight.
  • Support the design of assessment programs and remedial options for site cleanup, as well as environmental due diligence, regulatory compliance, and permitting activities.
  • Assist in the management, analysis, and interpretation of environmental data using statistical and data visualization tools.
  • Perform data entry and QA/QC of data tables, maps, reports, and other work products.
  • Independently perform research tasks with input from technical experts.
  • Contribute to a team atmosphere through collaboration with technical experts, project managers, colleagues, and subcontractors.

Job Perks:

  • Competitive salary and benefits.
  • Quarterly and year-end bonuses.
  • Flexible work environment with potential for remote work.
  • On-the-job training, mentorship, and professional development.
  • Participation in conferences, technical presentations, and papers.
  • Teamwork atmosphere.
  • A Bachelor’s degree or higher in the Geosciences, Environmental Engineering, or related field is required; a Master’s degree is preferred.
  • Up to 2 years of relevant work experience is preferred.
  • Engineer in Training (EIT) or Geologist in Training (GIT) certification is preferred.
  • Excellent organizational, verbal, and written communication skills are required.
  • Ability to manage multiple tasks and work independently and as part of a team is required.
  • Experience with data management, database and office software, and data analysis is preferred.
  • Valid driver’s license and clear driving record are required.
  • 40-hour OSHA HAZWOPER certification is preferred.
  • Ability to travel is required.

Apply