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Manager Remote Customer Service Rep Jobs in Manchester, CT

micro1 AI

Director of Biostatistics

Hartford, CT · 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

Waterbury, CT · 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

Hartford, CT · 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

Waterbury, CT · 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

Springfield, MA · 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

Springfield, MA · 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 ...

Allied Printing

Estimator

Manchester, CT · On-site +1

Coordinate with Sales, Planners, CSR's, customers, vendors, and internal production departments ... Ability to manage multiple estimates and deadlines in a fast-paced environment. * Detail-oriented ...

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Manager Remote Customer Service Rep information

See Manchester, CT salary details

$24.7K

$58.6K

$102K

How much do manager remote customer service rep jobs pay per year?

As of Aug 9, 2026, the average yearly pay for manager remote customer service rep in Manchester, CT is $58,578.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,400.00 and $70,700.00 per year, depending on experience, location, and employer.

What is the difference between Manager Remote Customer Service Rep vs Customer Service Supervisor?

AspectManager Remote Customer Service RepCustomer Service Supervisor
CredentialsExperience in customer service, sometimes leadership skillsExperience in customer service, often leadership or supervisory training
Work EnvironmentRemote, independent, team managementOn-site or remote, overseeing customer service teams
Employer & Industry UsageCommon in call centers, e-commerce, tech companiesRetail, telecom, service industries
Search & Comparison IntentUnderstanding leadership roles in remote customer serviceComparing supervisory roles in customer service teams

The Manager Remote Customer Service Rep typically oversees remote customer service teams, focusing on leadership and strategic management. The Customer Service Supervisor usually manages on-site or remote teams, handling daily operations and team performance. Both roles require customer service experience, but the manager position emphasizes higher-level oversight and remote work skills, while the supervisor role concentrates on team supervision and operational tasks.

What are the most commonly searched types of Remote Customer Service Rep jobs in Manchester, CT? The most popular types of Remote Customer Service Rep jobs in Manchester, CT are:
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Manager Remote Customer Service Rep jobs near you

Director of Biostatistics

micro1 AI

Hartford, CT • Remote

$60 - $65/hr

Part-time

Posted 5 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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