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Associate Director Statistical Programming Jobs Near Me

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 ...

Post Doctoral Scholar

Columbus, OH · On-site

$47K - $64K/yr

The postdoctoral associate will be working on recently completed randomized controlled trials ... Proficiency in statistical programming (e.g., R, Python, MATLAB). Additional Information: Location:

Post Doctoral Scholar

Columbus, OH · On-site

$44K - $60K/yr

The postdoctoral associate will be working on recently completed randomized controlled trials ... Proficiency in statistical programming (e.g., R, Python, MATLAB). Additional Information: Location:

Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of ... Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ...

Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of ... Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ...

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How much do associate director statistical programming jobs pay per year?

As of Aug 19, 2026, the average yearly pay for associate director statistical programming in the United States is $280,147.00, according to ZipRecruiter salary data. Most workers in this role earn between $260,500.00 and $322,500.00 per year, depending on experience, location, and employer.

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A map of the United States highlighting the number of Associate Director Statistical Programming job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Associate Director Statistical Programming job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Director of Biostatistics

micro1 AI

Columbus, OH • Remote

$60 - $65/hr

Part-time

Posted 16 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.