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Director Statistical Programmer Jobs in Milwaukee, WI

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 ...

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 ...

Copeland

CNC Programmer

Cudahy, WI · On-site

$26 - $35.50/hr

... programming, or direct entry.If you are looking for an exciting work environment filled with ... Ability to work with mathematical concepts such as probability and statistical inference, and ...

Copeland

CNC Programmer

Cudahy, WI · On-site

$26 - $35.50/hr

... or direct entry. If you are looking for an exciting work environment filled with meaningful ... Ability to work with mathematical concepts such as probability and statistical inference, and ...

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All JobsStatistical Programmer JobsDirector Statistical Programmer JobsDirector Statistical Programmer Jobs in Milwaukee, WI

Director Statistical Programmer information

See Milwaukee, WI salary details

$83.3K

$145.1K

$245.3K

How much do director statistical programmer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for director statistical programmer in Milwaukee, WI is $145,118.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,200.00 and $157,600.00 per year, depending on experience, location, and employer.

What is the difference between Director Statistical Programmer vs Statistical Programmer?

AspectDirector Statistical ProgrammerStatistical Programmer
Required credentialsBachelor's or Master's in Biostatistics, Statistics, or related field; often with experience in leadership rolesBachelor's or Master's in Biostatistics, Statistics, or related field; typically less managerial experience
Work environmentLeads teams, manages projects, collaborates with senior managementPerforms data analysis, programming, and reporting tasks under supervision
Employer and industry usagePharmaceutical, biotech companies, CROs, clinical research organizationsPharmaceutical, biotech companies, CROs, clinical research organizations

The main difference between a Director Statistical Programmer and a Statistical Programmer lies in their level of responsibility and leadership. The director oversees teams, manages projects, and interacts with senior management, while the statistical programmer focuses on executing data analysis and programming tasks. Both roles are essential in the clinical research industry, with the director position requiring more experience and strategic oversight.

What are the most commonly searched types of Statistical Programmer jobs in Milwaukee, WI?

The most popular types of Statistical Programmer jobs in Milwaukee, WI are:

What are popular job titles related to Director Statistical Programmer jobs in Milwaukee, WI?

For Director Statistical Programmer jobs in Milwaukee, WI, the most frequently searched job titles are:

What job categories do people searching Director Statistical Programmer jobs in Milwaukee, WI look for?

The top searched job categories for Director Statistical Programmer jobs in Milwaukee, WI are:

Director Statistical Programmer jobs near you

Director of Biostatistics

Milwaukee, WI • Remote

micro1 AI
Software Development • 11 - 50 employees
Learn more about micro1 AIexternal

$60 - $65/hr

Part-time

Posted 21 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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