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Part Time Sas Programmer Jobs (NOW HIRING)

SIERTEK

Operations Research Technical Reviewer

Dayton, OH

$91K - $108K/yr

... (part-time). PLEASE APPLY DIRECTLY ON OUR WEBSITE: www.siertek.com/careers Position Overview ... This position requires strong experience in biostatistics, healthcare analytics, SAS programming ...

LEO&Co

Part Time Data Analyst (Remote)

New York, NY · Remote

... SAS, and/or SPSS * 3+ years of Technical experience in Software Development, Machine Learning or Statistical Analysis, Data Engineering and Data Visualization related work * Associate's and/or ...

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How much do part time sas programmer jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for part time sas programmer in the United States is $49.00, according to ZipRecruiter salary data. Most workers in this role earn between $34.38 and $61.54 per hour, depending on experience, location, and employer.

What is a part time SAS programmer?

A Part Time SAS Programmer is a professional who uses the SAS (Statistical Analysis System) software to manage, analyze, and interpret data, but works fewer hours than a full-time employee. They are often hired by organizations to support data-driven projects on a flexible schedule, which may include evenings or weekends. Their responsibilities typically include writing and debugging SAS code, generating reports, and ensuring data accuracy for research or business needs. Part time positions are ideal for those seeking work-life balance or who have other commitments.

What does a part time SAS programmer do?

A SAS (statistical analysis system) programmer is an IT professional with skills in data analysis and the Statistical Analysis System software suite. SAS is a programming language used to complete all components of statistical analysis. It can collect data from databases and spreadsheets as well as manipulate data and forecast trends. Your duties and responsibilities as a part-time SAS programmer include using SAS to its full extent to answer questions or provide analysis reports that aid organizational decision making. Programmers also use other languages, such as SAS V9, SQL, Macro, and Base, as well as other platforms like SAS BI and Stored Procs.

What are the key skills and qualifications needed to thrive as a part time SAS programmer, and why are they important?

To thrive as a Part Time SAS Programmer, you need strong knowledge of SAS programming, data analysis, and statistics, often supported by a degree in computer science, statistics, or a related field. Familiarity with SAS Base, SAS Macro, and data management tools, as well as relevant certifications like SAS Certified Specialist, are typically required. Attention to detail, problem-solving skills, and effective communication help you interpret data requirements and collaborate with team members. These skills ensure accurate data processing, efficient project delivery, and reliable support for data-driven decision-making.

What are some common challenges faced by part time SAS programmers, and how can they manage workload effectively?

Part-time SAS Programmers often face the challenge of balancing multiple projects within limited hours, which requires strong time management and clear communication with team members. They may need to quickly familiarize themselves with existing codebases or datasets, so staying organized and documenting work thoroughly is essential. Collaborating closely with full-time staff and proactively seeking updates on project priorities can help part-time programmers stay aligned and productive. Utilizing version control systems and maintaining regular status updates can also ease transitions between work sessions.

What is the difference between Part Time Sas Programmer vs Part Time Data Analyst?

AspectPart Time Sas ProgrammerPart Time Data Analyst
Required CredentialsProficiency in SAS software, programming skills, possibly a degree in IT or related fieldStatistical knowledge, data analysis skills, often a degree in statistics, mathematics, or related field
Work EnvironmentTypically in IT or analytics departments, working on data processing and programming tasksOften in business, finance, or healthcare sectors analyzing data to inform decisions
Employer & Industry UsageUsed by companies needing data processing, reporting, and automation in SASUsed across industries for interpreting data, generating reports, and insights

While both roles involve working with data, a Part Time Sas Programmer focuses on coding and data manipulation using SAS software, whereas a Part Time Data Analyst emphasizes interpreting data and generating insights. The roles often overlap but differ mainly in technical focus and daily tasks.

Are part time SAS programmers in demand?

Part-time SAS programmers are in steady demand in industries such as healthcare, finance, and research, where data analysis and reporting are essential. Skills in SAS software, statistical analysis, and data management increase employability, especially for projects requiring flexible schedules or supplemental staffing.
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Part Time Sas Programmer jobs near you
Infographic showing various Part Time Sas Programmer job openings in the United States as of August 2026, with employment types broken down into 100% Part Time. Highlights an 43% In-person, 14% Hybrid, and 43% Remote job distribution, with an average salary of $101,929 per year, or $49 per hour.

Remote Biostatistics Consultant- Part Time

Marlborough, MA • Remote

Sigma Systems, Inc.
51 - 200 employees
Learn more about Sigma Systems, Inc.external

Part-time, Contractor

Posted 4 days ago

Job description

37573578 Remote Biostatistics Consultant- Part Time 6 Months Contract
Sigma Systems is currently looking for a Remote Biostatistics Consultant

This is a remote role initially working 10-15 hours a week for the first three months, then scaling back to 5-10 hours per week until the engagement ends.The consultant will support statistical deliverables within SMPA's oncology program. Responsibilities include reviewing and finalizing analysis datasets, supporting data quality and consistency checks, conducting or validating statistical analyses, generating tables, figures, and listings, interpreting statistical results, and contributing to statistical content to be used for publications. The consultant will collaborate with cross-functional team members, address publication-related statistical questions, and help ensure analyses and outputs are scientifically rigorous, accurate, and publication-ready. The role will work closely with the Medical Strategy lead and publications specialist. Responsibilities:

  • Lead Statistical Efforts: Serve as the primary biostatistician for a study within a project team, supporting closeout activities and reviewing, validating, and executing analyses
  • Provide Technical Guidance: Offer guidance to statistical programmers on developing SDTM/ADaM datasets and TLFs (Tables, Listings, and Figures) specifications, as well as perform quality checks on statistical programming efforts as needed
  • Communication Skills: Strong written and verbal communication skills with the ability to present complex statistical concepts to both technical and non-technical audiences
  • Collaboration: Proven ability to work effectively as part of a cross-functional team
  • Problem-Solving: Strong analytical and problem-solving skills with the ability to make strategic decisions based on data-driven insights
  • Statistical Expertise: In-depth knowledge of statistical methods and their application in oncology clinical trials
  • Software Proficiency: Proficient in statistical programming languages and software, such as SAS and R, with the ability to guide data analysis and interpretation.
  • Data Standards: Experience with data standards such as CDISC SDTM and ADaM, including overseeing the development and quality control of specification
  • Quality Control: Strong attention to detail and commitment to ensuring the accuracy and integrity of statistical analyses and programming outputs.

Requirements:

  • PhD or MS in statistics or biostatistics
  • Ideal 3-year (for PhD) or 5-year (for MS) with experience in clinical trials
  • Broad and thorough understanding of statistical principles, up-to-date statistical design and methodologies, and their applications into clinical trial
  • Effective writing and communication skills: able to explain to team clearly and help team understand complex statistical design, methodology, decision rule, analysis plan and statistical report
  • Experience with Bayesian modeling and Analysis
  • Experienced with SAS programming, R programming and other statistical software