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Part Time Customer Service Representative Remote Jobs in Wisconsin

micro1 AI

Biostatistician

Kenosha, WI · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... study reports (CSR), including subtle errors in population definitions, censoring rules, or ...

micro1 AI

Director of Biostatistics

Kenosha, WI · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... study reports (CSR), including subtle errors in population definitions, censoring rules, or ...

micro1 AI

Biostatistician

Green Bay, WI · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... study reports (CSR), including subtle errors in population definitions, censoring rules, or ...

Harris

Hands-On Senior Executive - Corporate Development - Remote, Part Time Harris Computer seeks an ... Utilizes Harris CRM to record activities, notes and data for pipeline management and decision ...

Harris

Hands-On Senior Executive - Corporate Development - Remote, Part Time Harris Computer seeks an ... Utilizes Harris CRM to record activities, notes and data for pipeline management and decision ...

Harris

Hands-On Senior Executive - Corporate Development - Remote, Part Time Harris Computer seeks an ... Utilizes Harris CRM to record activities, notes and data for pipeline management and decision ...

Harris

Hands-On Senior Executive - Corporate Development - Remote, Part Time Harris Computer seeks an ... Utilizes Harris CRM to record activities, notes and data for pipeline management and decision ...

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A Part Time Customer Service Representative Remote is a professional who assists customers with inquiries, issues, or orders while working remotely, often from home. They typically handle customer interactions through phone, email, chat, or social media, providing support and solutions as needed. This role is part-time, meaning the employee works fewer hours than a standard full-time position, offering flexibility in scheduling. Remote customer service representatives need strong communication and problem-solving skills, as well as reliable internet access and a quiet workspace.

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To thrive as a Part Time Customer Service Representative (Remote), you need strong communication skills, problem-solving abilities, and typically a high school diploma or equivalent. Familiarity with customer relationship management (CRM) software, online chat systems, and basic office applications is often required. Exceptional patience, active listening, and time management skills help individuals stand out in this role. These competencies are crucial for delivering high-quality service, resolving issues efficiently, and maintaining customer satisfaction while working independently.

How do part time customer service representatives remote typically stay connected and collaborate with their teams?

Remote part-time customer service representatives usually stay connected with their teams through a combination of communication tools such as instant messaging platforms, video meetings, and shared project management software. Regular check-ins and virtual team meetings help ensure everyone is aligned on goals and updates. Since the role is remote and part-time, clear communication and proactive participation are key to overcoming challenges like time zone differences or limited overlap in working hours. Successful representatives often make an effort to stay engaged and informed by actively participating in training sessions and team discussions.

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Infographic showing various Part Time Customer Service Representative Remote job openings in Wisconsin as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution.

Biostatistician

micro1 AI

Kenosha, WI • Remote

$60 - $65/hr

Part-time

Re-posted 3 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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