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Remote Statistics Jobs in Milwaukee, WI (NOW HIRING)

micro1 AI

Director of Biostatistics

Kenosha, WI · Remote

$60 - $65/hr

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 ...

New

micro1 AI

Director of Biostatistics

Milwaukee, WI · Remote

$60 - $65/hr

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 ...

New

micro1 AI

Biostatistician

Milwaukee, WI · Remote

$60 - $65/hr

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 ...

New

micro1 AI

Biostatistician

Kenosha, WI · Remote

$60 - $65/hr

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 ...

New

Kiongroup

Simulation Engineer

Wauwatosa, WI · On-site +1

$65K - $140K/yr

... remote work. This role involves building and evaluating simulation models that contribute to the ... Configure, complete, and lead simulation scenarios, experiments, and statistical runs. * Interpret ...

Kiongroup

Simulation Engineer

Wauwatosa, WI · On-site +1

$65K - $140K/yr

... remote work. This role involves building and evaluating simulation models that contribute to the ... Configure, complete, and lead simulation scenarios, experiments, and statistical runs. * Interpret ...

Carroll University

Sr. Data Analyst

Waukesha, WI · On-site +1

$86K - $108K/yr

Hybrid and remote options available for this role. Responsibilities : * Design, develop, and ... Statistics, or related field. 5+ years of experience in data analytics, business intelligence ...

Foth

Bilingual Construction Manager

Milwaukee, WI · Remote

$100K - $150K/yr

Flexible work from home options available. #LI-Remote All Foth Companies are equal opportunity employers, and all qualified applicants will receive consideration for employment without regard to race ...

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Remote Statistics information

See Milwaukee, WI salary details

$39.9K

$82.4K

$115.3K

How much do remote statistics jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote statistics in Milwaukee, WI is $82,422.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,200.00 and $114,300.00 per year, depending on experience, location, and employer.

What is a remote statistics?

A Remote Statistics job involves analyzing data, interpreting trends, and applying statistical methods to solve problems from a remote location. Professionals in this role work in various industries such as healthcare, finance, and technology. They use statistical software, programming languages like R or Python, and data visualization tools to support decision-making. Remote statisticians may work for companies, research institutions, or as independent consultants. Strong analytical skills, attention to detail, and the ability to communicate findings effectively are essential for success in this field.

What does a remote statistics do?

Remote statisticians spend much of their day collecting, cleaning, and analyzing complex data sets to support organizational objectives. They use statistical software to identify trends, test hypotheses, and produce data reports or visualizations, often collaborating virtually with teams such as data scientists, business analysts, or project managers. Regular responsibilities may also include preparing presentations, explaining statistical findings to non-technical stakeholders, and ensuring data accuracy and confidentiality. Effective remote communication and independent time management are key to meeting project deadlines and contributing valuable insights from a home or remote office setting.

What are the key skills and qualifications needed to thrive in the remote statistics position, and why are they important?

To thrive in a Remote Statistics role, you need strong statistical analysis skills, proficiency in mathematics, and typically a degree in statistics, mathematics, or a related field. Familiarity with statistical software such as R, SAS, SPSS, or Python, along with experience using data visualization tools, is often essential. Excellent communication, self-motivation, and time management help remote statisticians succeed in a distributed work environment. These capabilities enable accurate analysis, effective collaboration, and the ability to work independently while delivering meaningful insights to employers.

What are the most commonly searched types of Statistics jobs in Milwaukee, WI? The most popular types of Statistics jobs in Milwaukee, WI are:
What are popular job titles related to Remote Statistics jobs in Milwaukee, WI? For Remote Statistics jobs in Milwaukee, WI, the most frequently searched job titles are:
What job categories do people searching Remote Statistics jobs in Milwaukee, WI look for? The top searched job categories for Remote Statistics jobs in Milwaukee, WI are:
Remote Statistics jobs near you
Infographic showing various Remote Statistics job openings in Milwaukee, WI as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $82,422 per year, or $39.6 per hour.

Director of Biostatistics

micro1 AI

Kenosha, WI • Remote

$60 - $65/hr

Part-time

Posted 3 days ago

New

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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