2

Part Time Sas Programming Jobs (NOW HIRING)

Operations Research Technical Reviewer

Dayton, OH ยท On-site

$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 ...

... 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 ...

next page

Showing results 1-20

Part Time Sas Programming information

See salary details

$14

$49

$79

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

As of Aug 27, 2026, the average hourly pay for part time sas programming 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 programming job?

A part-time SAS programming job involves using SAS (Statistical Analysis System) software to manage, analyze, and interpret data, but on a part-time schedule rather than full-time. Part-time SAS programmers typically work fewer hours per week and may be hired for specific projects or to provide support during busy periods. These roles are common in industries like healthcare, finance, and research, where data analysis is essential. Responsibilities can include writing and debugging SAS code, creating reports, and collaborating with other team members. This position is ideal for those who want flexibility or have other commitments.

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

To thrive as a Part Time SAS Programmer, you need proficiency in SAS programming, data analysis, and a background in statistics or a related field, often supported by a relevant degree or SAS certification. Familiarity with SAS Base, SAS Macro, and data management tools, as well as experience working with databases and other statistical software, is typically required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for collaborating with stakeholders and ensuring data accuracy. These competencies enable efficient data processing, accurate analyses, and successful project delivery in part-time or contract roles.

How do part time SAS programmers typically collaborate with full time team members to ensure project continuity?

Part-time SAS Programmers often work closely with full-time analysts, statisticians, or data managers through regular check-ins, shared project documentation, and collaborative platforms. Clear communication is vital to ensure smooth handoffs and project continuity, especially when tasks span across different shifts or schedules. Many organizations use project management tools and version control systems to keep everyone aligned, making it easier for part-time staff to stay updated and contribute effectively. This collaborative structure helps maintain consistent data quality and timely project completion.

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

AspectPart Time Sas ProgrammingPart Time Data Analyst
Required CredentialsProficiency in SAS software, basic programming skillsStatistical knowledge, Excel, SQL, some programming
Work EnvironmentHealthcare, pharma, research firms, often project-basedBusiness, finance, healthcare, data-driven companies
Employer & Industry UsageUsed in clinical trials, research, pharma industriesUsed across various industries for data interpretation
Common Search & ComparisonOften compared for analytical roles requiring SAS skillsCompared for roles involving data interpretation and reporting

Part Time Sas Programming focuses on coding and data management using SAS software, primarily in research and clinical settings. In contrast, Part Time Data Analyst involves analyzing data using various tools, including Excel and SQL, across multiple industries. While both roles require analytical skills, SAS programming emphasizes technical coding expertise, whereas data analysis emphasizes data interpretation and reporting.

Are part time SAS programmers in demand?

Part time SAS programmers are in moderate demand, especially in industries like healthcare, pharmaceuticals, and finance that rely on data analysis. Skills in SAS software, statistical analysis, and data management increase employability, with remote and flexible roles becoming more common.

Can you work part-time as a SAS programmer?

Yes, SAS programming is often available as a part-time role, especially in consulting, contract, or freelance positions. Part-time SAS programmers typically work flexible hours and may need proficiency in SAS software, data analysis, and reporting tools.

What cities are hiring for Part Time Sas Programming jobs?

Cities with the most Part Time Sas Programming job openings:

What are the most commonly searched types of Sas Programming jobs?

The most popular types of Sas Programming jobs are:

What states have the most Part Time Sas Programming jobs?

States with the most job openings for Part Time Sas Programming jobs include:

Infographic showing various Part Time Sas Programming job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 81% Full Time, 13% Part Time, 4% Contract, and 1% Nights. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $101,929 per year, or $49 per hour.

Remote Biostatistics Consultant- Part Time

Sigma Systems, Inc.

Marlborough, MA โ€ข Remote

Part-time, Contractor

This job post hasย expired today.ย Applications are no longer accepted.


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