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Statistical Reporting Analyst Remote Jobs in Miami, FL

micro1 AI

Biostatistician

Pompano Beach, FL · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... of reported estimates, confidence intervals, p-values, analysis populations, and missing data ...

micro1 AI

Biostatistician

Hollywood, FL · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... of reported estimates, confidence intervals, p-values, analysis populations, and missing data ...

YO AI Labs

Analytics Expert - Remote

Miami, FL · Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Business Intelligence & Analytics Experts to ... You will work with dashboards, reports, KPIs, data visualizations, and leading BI platforms to ...

ABI Research

Technology Research Analyst

Miami, FL · On-site +1

Analysts may be fully remote, report to an office, or operate in a hybrid role based on skills and experience. About ABI Research ABI Research is a forward-thinking, fast paced company specializing ...

ABI Research

Technology Research Analyst

Miami, FL · Remote

Analysts may be fully remote, report to an office, or operate in a hybrid role based on skills and experience. About ABI Research ABI Research is a forward-thinking, fast paced company specializing ...

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All JobsStatistical Reporting Analyst JobsStatistical Reporting Analyst Remote JobsStatistical Reporting Analyst Remote Jobs in Miami, FL

Statistical Reporting Analyst Remote information

What is a statistical reporting analyst remote?

Statistical Reporting Analysts (Remote) are professionals who collect, analyze, and interpret data to create reports that help organizations make informed decisions. Working remotely, they use statistical tools and software to identify trends, generate insights, and ensure the accuracy of data-driven reports. Their tasks often include data validation, preparing dashboards, and collaborating with other departments to support business goals. Remote positions offer flexibility, allowing analysts to work from anywhere while maintaining communication with their teams through virtual platforms.

What are the key skills and qualifications needed to thrive as a statistical reporting analyst remote?

To thrive as a Statistical Reporting Analyst (Remote), you need strong analytical skills, a solid background in statistics or mathematics, and typically a bachelor's degree in a related field. Familiarity with statistical software (such as SAS, R, or Python), data visualization tools, and advanced Excel functions is commonly required. Attention to detail, problem-solving ability, and effective communication are vital soft skills for translating data findings into actionable insights for stakeholders. These skills and qualities are crucial for delivering accurate, meaningful reports that drive data-informed decision-making in a remote work environment.

What are some common challenges faced by statistical reporting analysts working remotely, and how can they be addressed?

Remote Statistical Reporting Analysts often face challenges such as managing large datasets securely, coordinating with cross-functional teams in different time zones, and maintaining clear communication regarding reporting requirements. To address these, it's important to use robust data management tools, establish regular virtual check-ins with stakeholders, and document processes thoroughly. Proactively seeking feedback and clarifying project expectations can also help ensure the accuracy and timeliness of reports.

What is the difference between Statistical Reporting Analyst Remote vs Data Analyst?

AspectStatistical Reporting Analyst RemoteData Analyst
Required CredentialsBachelor's in Statistics, Data Science, or related field; proficiency in statistical softwareBachelor's in Data Science, Analytics, or related; strong Excel and SQL skills
Work EnvironmentRemote, often within finance, healthcare, or marketing industriesRemote or on-site, across various industries including tech, finance, and healthcare
Employer & Industry UsageUsed by companies needing detailed statistical reports and analysisUsed by organizations requiring data interpretation and insights for decision-making

The main difference is that Statistical Reporting Analysts focus on creating detailed statistical reports using specialized software, often in remote settings within specific industries. Data Analysts have a broader role in interpreting data, creating dashboards, and providing insights, also frequently working remotely. Both roles require similar educational backgrounds but differ slightly in daily tasks and industry focus.

What are popular job titles related to Statistical Reporting Analyst Remote jobs in Miami, FL?

For Statistical Reporting Analyst Remote jobs in Miami, FL, the most frequently searched job titles are:

What job categories do people searching Statistical Reporting Analyst Remote jobs in Miami, FL look for?

The top searched job categories for Statistical Reporting Analyst Remote jobs in Miami, FL are:

What cities near Miami, FL are hiring for Statistical Reporting Analyst Remote jobs?

Cities near Miami, FL with the most Statistical Reporting Analyst Remote job openings:

Statistical Reporting Analyst Remote jobs near you
Infographic showing various Statistical Reporting Analyst Remote job openings in Miami, FL as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution.

Biostatistician

micro1 AI

Pompano Beach, FL • 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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