1

Director Model Validation Jobs in Alabama (NOW HIRING)

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... Author and review evaluation tasks that require deriving, reproducing, or validating statistical ...

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... Author and review evaluation tasks that require deriving, reproducing, or validating statistical ...

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... Author and review evaluation tasks that require deriving, reproducing, or validating statistical ...

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... Author and review evaluation tasks that require deriving, reproducing, or validating statistical ...

Candidates must hold a current, valid passport and be legally eligible to travel internationally ... Develop and execute the long-term vision, strategy, and operating model for the Client Support ...

Candidates must hold a current, valid passport and be legally eligible to travel internationally ... Develop and execute the long-term vision, strategy, and operating model for the Client Support ...

... model. The Director will oversee clinical and operational performance, staffing, quality, and cost ... Valid driver's license, current automobile insurance, and access to reliable transportation ...

$78K - $106K/yr

Working model: This role is hybrid. You will be on-site at one of the posted locations at least two ... validation, translational plans, candidate selection. * Design clinical development plans, study ...

Showing results 41-60

Director Model Validation information

See Alabama salary details

$6

$19

$30

How much do director model validation jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for director model validation in Alabama is $19.46, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $21.78 per hour, depending on experience, location, and employer.

What is the difference between Director Model Validation vs Model Validation Analyst?

AspectDirector Model ValidationModel Validation Analyst
CredentialsAdvanced degrees (e.g., Master’s, PhD), professional certifications (e.g., CFA, FRM)Bachelor’s or Master’s degree, relevant certifications often preferred
Work EnvironmentLeadership roles overseeing teams, strategic planning, cross-department collaborationHands-on analysis, testing models, preparing reports
Industry UsageSenior-level positions in banking, finance, risk managementEntry to mid-level roles supporting validation processes

The main difference is that the Director Model Validation leads and manages validation teams, focusing on strategy and oversight, while the Model Validation Analyst performs detailed testing and analysis under supervision. The director role requires more experience, leadership skills, and higher credentials, whereas the analyst role is more technical and execution-focused.

What are the most commonly searched types of Model Validation jobs in Alabama?

The most popular types of Model Validation jobs in Alabama are:

What are popular job titles related to Director Model Validation jobs in Alabama?

For Director Model Validation jobs in Alabama, the most frequently searched job titles are:

What job categories do people searching Director Model Validation jobs in Alabama look for?

The top searched job categories for Director Model Validation jobs in Alabama are:

What cities in Alabama are hiring for Director Model Validation jobs?

Cities in Alabama with the most Director Model Validation job openings:

Director of Biostatistics

micro1 AI

Huntsville, AL • Remote

$60 - $65/hr

Part-time

Posted 17 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.