1

Director Model Validation Jobs in Missouri (NOW HIRING)

Associate Director

Edina, MO · On-site

$175K/yr

... As an Associate Director on the Catastrophe Analytics R&D team, you will collaborate with ... Execute upon all aspects of catastrophe modeling, including data preparation and validation ...

(USA) Director, Data Science

Anderson, MO · On-site

$130K - $260K/yr

The Director fosters innovation, oversees model validation, and supports scalable implementations while maintaining high standards of integrity and operational excellence to enhance decision-making ...

(USA) Director, Data Science

Noel, MO · On-site

$130K - $260K/yr

The Director fosters innovation, oversees model validation, and supports scalable implementations while maintaining high standards of integrity and operational excellence to enhance decision-making ...

The position oversees model deployment, validation, and scaling while mentoring teams and fostering innovation. By aligning data initiatives with organizational objectives, the Senior Director ...

The position oversees model deployment, validation, and scaling while mentoring teams and fostering innovation. By aligning data initiatives with organizational objectives, the Senior Director ...

The position oversees model deployment, validation, and scaling while mentoring teams and fostering innovation. By aligning data initiatives with organizational objectives, the Senior Director ...

The Director fosters innovation, oversees model validation, and supports scalable implementations while maintaining high standards of integrity and operational excellence to enhance decision-making ...

Role summary: As the Senior Director of Data Science for Membership, you will lead a high ... Establish rigorous approaches to experimentation, measurement, and model validation to evaluate ...

Role summary: As the Senior Director of Data Science for Membership, you will lead a high ... Establish rigorous approaches to experimentation, measurement, and model validation to evaluate ...

Role summary: As the Senior Director of Data Science for Membership, you will lead a high ... Establish rigorous approaches to experimentation, measurement, and model validation to evaluate ...

Director, Product

Saint Louis, MO · On-site

$130 - $170/hr

... based models; define the unit of value and validate willingness-to-pay with commercial teams ... direct authority -- drives a sharp point of view from concept through build and first sale.

Director, Product

Saint Louis, MO · On-site

$226K - $237K/yr

... based models; define the unit of value and validate willingness-to-pay with commercial teams ... direct authority - drives a sharp point of view from concept through build and first sale.

next page

Showing results 1-20

Director Model Validation information

See Missouri salary details

$6

$20

$31

How much do director model validation jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for director model validation in Missouri is $20.13, according to ZipRecruiter salary data. Most workers in this role earn between $16.44 and $22.55 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 popular job titles related to Director Model Validation jobs in Missouri?

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

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

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

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

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

Infographic showing various Director Model Validation job openings in Missouri as of August 2026, with employment types broken down into 2% As Needed, 85% Full Time, 11% Part Time, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $41,880 per year, or $20.1 per hour.

Senior Director, In-Vivo & Non-Clinical Pharmacology

Jobtailor

California, MO • On-site

$190 - $260/hr

Other

Posted 3 days ago

New


Job description

  • Partner with Pharmacology, DMPK, Toxicology, and Translational Science leaders to shape and deliver the technology roadmap for non-clinical decisions
  • Lead deployment of GenAI, agentic, and predictive AI/ML capabilities for non-clinical workflows
  • Advance predictive safety, in silico DMPK, histopathology image AI, and study design support
  • Ensure high-fidelity capture of non-clinical data in source systems and clean downstream flow to the R&D Data organization
  • Support animal welfare data, IACUC-related processes, and study-governance workflows
  • Enable non-clinical safety signal detection and risk characterization through analytics and decision-support tools
  • Partner with Development teams to feed clinical findings into non-clinical model validation and refinement
  • Ensure operational excellence and reliability of non-clinical applications, modeling environments, and analytics
  • Lead and develop a team of scientific technologists, AI/ML engineers, product leaders, and application specialists
  • Translate scientific needs into scalable, integrated technology solutions for Research
Requirements
  • Bachelor’s, Master’s, or Ph.D. in Pharmacology, Pharmaceutical Sciences, Biology, Bioinformatics, or a related field; Ph.D. preferred
  • 12–15+ years in pharmaceutical R&D with strong exposure to preclinical and translational science
  • Deep understanding of in-vivo pharmacology, DMPK/ADME, safety/toxicology, and bioanalytical workflows
  • Proven experience leading applications, digital products, or AI-enabled capabilities in non-clinical R&D
  • Experience with predictive safety, in silico DMPK, or histopathology image AI
  • Experience working in GLP-adjacent regulated environments and with IACUC-related processes
  • Proven leadership at Director or Senior Director level
  • Fluency in predictive safety, in silico DMPK, image AI, and agentic capabilities for non-clinical workflows
  • Fluency with GLP, IACUC, and non-clinical safety governance
  • Understanding of how non-clinical data impacts downstream Development and decision-making
  • Ability to partner with senior scientific leaders and act as a trusted advisor
  • Experience driving organizational and technology transformation in scientific environments
  • Ability to translate complex scientific and technical concepts into actionable strategies
  • Experience navigating matrixed, global organizations
  • Commitment to building a high-performing, collaborative team culture
  • Experience spanning bench science, computational methods, AI/ML, and enterprise applications is a differentiator
Core Competencies

Demonstrates expertise in leading non-clinical R&D initiatives, particularly in predictive safety, in silico DMPK, and AI/ML applications. Proven ability to translate scientific needs into integrated technology solutions while fostering a collaborative team culture.

Highest-signal resume keywords
  • Ph.D. In Pharmacology, Pharmaceutical Sciences, Biology, Or Bioinformatics
  • 12–15+ Years In Pharmaceutical R&D
  • Experience With Predictive Safety And In Silico DMPK
  • Proven Leadership At Director Or Senior Director Level
  • Fluency With GLP And IACUC Processes
ATS Optimization Keywords Hard Skills
  • In-Vivo Pharmacology
  • DMPK/ADME
  • Safety/Toxicology
  • Bioanalytical Workflows
  • AI/ML Capabilities
  • Predictive Safety
  • Histopathology Image AI
  • Digital Product Leadership
  • Model Validation
  • Data Analytics
Soft Skills
  • Trusted Advisor
  • Collaborative Team Culture
  • Organizational Transformation
  • Strategic Translation Of Concepts
  • Matrix Navigation
Industry Keywords
  • GLP
  • IACUC
  • Non-Clinical Safety Governance
  • Preclinical Science
  • Translational Science
Tools & Technologies
  • Decision-Support Tools
  • Modeling Environments
  • Non-Clinical Applications
  • Analytics Platforms
  • AI-Enabled Capabilities
#J-18808-Ljbffr