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Remote Sas Programmer Internship Jobs in Springfield, MO

micro1 AI

Director of Biostatistics

Springfield, MO · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... Proficiency in SAS and/or R, with the ability to independently reproduce analyses from written ...

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Remote Sas Programmer Internship information

See Springfield, MO salary details

$13

$44

$72

How much do remote sas programmer internship jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for remote sas programmer internship in Springfield, MO is $44.58, according to ZipRecruiter salary data. Most workers in this role earn between $31.25 and $55.96 per hour, depending on experience, location, and employer.

What is the difference between Remote Sas Programmer Internship vs Remote Data Analyst Internship?

AspectRemote Sas Programmer InternshipRemote Data Analyst Internship
Required SkillsProficiency in SAS programming, basic data analysis, and statistical methodsData analysis, Excel, SQL, and visualization tools
Work EnvironmentInternship in healthcare, finance, or research industries using SAS softwareInternship in various industries focusing on data interpretation and reporting
CertificationsOften requires familiarity with SAS certifications or courseworkTypically requires knowledge of Excel, SQL, and data visualization tools

The Remote Sas Programmer Internship primarily focuses on developing SAS programming skills for data manipulation and analysis within specific industries like healthcare or finance. In contrast, the Remote Data Analyst Internship emphasizes broader data analysis and visualization skills across various sectors. Both roles are entry-level, remote, and industry-relevant, but they differ in technical focus and tools used.

What are some common challenges faced during a remote SAS programmer internship, and how can they be overcome?

Remote SAS Programmer interns often face challenges such as limited face-to-face interaction with mentors, managing time effectively across different projects, and learning to navigate complex data sets without immediate in-person support. To overcome these challenges, it's helpful to proactively communicate with supervisors, participate in regular virtual meetings, and utilize collaboration tools like Slack or Microsoft Teams. Additionally, making use of online SAS communities and documentation can help interns troubleshoot issues independently while building confidence in their programming skills.

What is a remote SAS programmer internship?

A Remote SAS Programmer Internship is a temporary, entry-level position where interns work from a remote location to learn and assist with programming tasks using SAS (Statistical Analysis System) software. These internships are typically offered by companies or organizations in fields like healthcare, finance, or research that use SAS for data analysis and reporting. Interns gain hands-on experience in writing and debugging SAS code, data management, and collaborating with professional teams on real-world projects. This role is ideal for students or recent graduates interested in data analytics, statistics, or programming. Remote internships offer flexibility and the opportunity to build technical skills without needing to relocate.

What are the key skills and qualifications needed to thrive as a remote SAS programmer intern?

To thrive as a Remote SAS Programmer Intern, you need a solid understanding of statistics, data analysis, and programming skills with a focus on SAS software, typically backed by coursework or experience in computer science, mathematics, or related fields. Familiarity with SAS Base, SAS/SQL, and data management systems, as well as any relevant certifications like SAS Certified Specialist, is often expected. Strong attention to detail, problem-solving abilities, and effective written communication are essential soft skills for remote collaboration and reporting. These skills and qualifications are vital for accurately analyzing data, generating reliable reports, and contributing effectively to team projects in a remote environment.
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Remote Sas Programmer Internship jobs near you

Director of Biostatistics

micro1 AI

Springfield, MO • Remote

$60 - $65/hr

Part-time

Posted 7 days ago

Job description

Role Title: Biostatistician


Role Type: Contractor


Location: Remote


micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Author and review evaluation tasks that require deriving, reproducing, or validating statistical outputs from clinical datasets and associated tables, figures, and listings (TFLs).
  2. Apply expert judgment to assess the correctness and consistency of reported estimates, confidence intervals, p-values, analysis populations, and missing data handling in alignment with the statistical analysis plan (SAP).
  3. Identify discrepancies between statistical outputs and their narrative descriptions in clinical study reports (CSR), including subtle errors in population definitions, censoring rules, or multiplicity handling.
  4. Establish defensible ground truth for each evaluation task, documenting the derivation process to enable independent verification.
  5. Provide structured written rationales distinguishing true statistical errors from acceptable methodological alternatives, employing clear and concise communication.
  6. Collaborate with a multidisciplinary project team, providing statistical insights and feedback as needed to refine evaluation tasks and criteria.


Preferred Qualifications

  1. 5+ years as a biostatistician supporting clinical trials at a sponsor, CRO, or academic trials unit.
  2. Hands-on experience producing or quality controlling TFLs for regulatory submissions and working directly from CDISC SDTM/ADaM datasets.
  3. Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies under ICH E9(R1).
  4. Proficiency in SAS and/or R, with the ability to independently reproduce analyses from written specifications.
  5. Ability to interpret SAPs and ensure reported results are consistent with pre-specified analyses.
  6. Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field.
  7. Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or reviewing CSR statistical sections, oncology endpoint expertise, and exposure to AI-assisted statistical review tools.

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