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Remote Academic Researcher Jobs in Wisconsin (NOW HIRING)

micro1 AI

Biostatistician

Milwaukee, WI · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... clinical research. In this role, you'll apply your expertise to help train next-generation AI ...

micro1 AI

Biostatistician

Kenosha, WI · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... clinical research. In this role, you'll apply your expertise to help train next-generation AI ...

Workiva

$35/hr

... academic knowledge to real-world scenarios and immerse themselves in the field of corporate ... The internship is structured to provide a blend of research, analysis, and practical application ...

Workiva

$35/hr

... academic knowledge to real-world scenarios and immerse themselves in the field of corporate ... The internship is structured to provide a blend of research, analysis, and practical application ...

Workiva

$35/hr

... academic knowledge to real-world scenarios and immerse themselves in the field of corporate ... The internship is structured to provide a blend of research, analysis, and practical application ...

Workiva

$35/hr

... academic knowledge to real-world scenarios and immerse themselves in the field of corporate ... The internship is structured to provide a blend of research, analysis, and practical application ...

Workiva

$35/hr

... academic knowledge to real-world scenarios and immerse themselves in the field of corporate ... The internship is structured to provide a blend of research, analysis, and practical application ...

Workiva

$35/hr

... academic knowledge to real-world scenarios and immerse themselves in the field of corporate ... The internship is structured to provide a blend of research, analysis, and practical application ...

Workiva

$35/hr

... academic knowledge to real-world scenarios and immerse themselves in the field of corporate ... The internship is structured to provide a blend of research, analysis, and practical application ...

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All JobsAcademic Researcher JobsRemote Academic Researcher JobsRemote Academic Researcher Jobs in Wisconsin

Remote Academic Researcher information

What is a remote academic researcher?

Remote academic researchers are professionals who conduct scholarly research, analysis, and data collection from a location outside of a traditional academic institution, such as from home or a co-working space. They often collaborate with universities, research institutes, or private organizations virtually, using digital tools for communication and research activities. Their work may involve writing papers, analyzing data, conducting literature reviews, or supporting grant applications. Remote academic researchers must be self-motivated, organized, and skilled in using online resources and collaboration platforms.

What are the key skills and qualifications needed to thrive as a remote academic researcher?

To thrive as a Remote Academic Researcher, you need a strong background in research methodologies, data analysis, and subject matter expertise, typically supported by an advanced degree such as a master's or PhD. Familiarity with research databases, statistical software (like SPSS or R), and collaborative tools (such as Zoom or Google Scholar) is essential. Exceptional written communication, self-motivation, and time management are standout soft skills for this position. These competencies ensure rigorous, independent research and effective collaboration within virtual academic teams.

How do remote academic researchers typically collaborate with teams and manage communication across different time zones?

Remote Academic Researchers often work with colleagues, supervisors, and collaborators who may be located around the world. To ensure effective collaboration, they frequently use digital communication tools such as email, video conferencing, and project management platforms. Scheduling regular check-ins and being proactive in sharing updates help overcome time zone differences. Clear documentation of research progress, transparent data sharing protocols, and flexibility in meeting times are essential for fostering productive teamwork in a remote environment.

What is the difference between Remote Academic Researcher vs Remote Data Analyst?

AspectRemote Academic ResearcherRemote Data Analyst
Required CredentialsAdvanced degrees (Master's/PhD), research experienceBachelor's or higher in data science, statistics, or related fields
Work EnvironmentAcademic institutions, research organizations, universitiesBusinesses, consulting firms, tech companies
Employer & Industry UsagePrimarily academia and research institutionsCorporate, finance, healthcare, marketing sectors
Common Search & ComparisonYesYes

The main difference is that Remote Academic Researchers focus on conducting scholarly research often within academic or research institutions, requiring advanced degrees and a focus on theoretical or experimental studies. Remote Data Analysts analyze data to inform business decisions, typically requiring strong statistical skills and familiarity with data tools. While both roles involve research skills, their work environments and industry applications differ significantly.

What are popular job titles related to Remote Academic Researcher jobs in Wisconsin?

For Remote Academic Researcher jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Remote Academic Researcher jobs in Wisconsin look for?

The top searched job categories for Remote Academic Researcher jobs in Wisconsin are:

Remote Academic Researcher jobs near you
Infographic showing various Remote Academic Researcher job openings in Wisconsin as of August 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 100% Remote job distribution.

Biostatistician

micro1 AI

Milwaukee, WI • Remote

$60 - $65/hr

Part-time

Re-posted 4 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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