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Director Model Validation Jobs in Utah (NOW HIRING)

... industry, validating both the scale of the opportunity and the strength of the platform we are ... Own AI observability and cost, including per-feature spend tracking and model selection trade-offs

Edit CAD: Use modeling software to create or manipulate CAD geometry that is accurate to life and ... validate ideas with stakeholders and channel partners (e.g., storyboards, wireframes, sketches ...

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 ...

Obtain, Create & Edit CAD: Use modeling software to create or manipulate CAD geometry that is ... An ability to create concepts to articulate, inform, and validate ideas with stakeholders and ...

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 ...

Models and fosters an environment of professionalism and employee engagement on the unit. * Ensures ... Valid compact licenses must be transferred to the state of practice within 60 days of the start of ...

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Director Model Validation information

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How much do director model validation jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for director model validation in Utah is $19.54, according to ZipRecruiter salary data. Most workers in this role earn between $15.96 and $21.88 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 Utah?

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

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

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

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

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

Associate Director, Computational Biology - Early Discovery

Recursion

Salt Lake City, UT

$200K - $220K/yr

Full-time

Re-posted 20 days ago


Job description

The Impact You'll Make

As an Associate Director within Recursion's early discovery team, you will be at the forefront of reimagining drug discovery from first principles. You will lead a team of world-class computational biologists focused on identifying and advancing the next generation of oncology targets and therapeutics to fill our internal pipeline. You will act as a "player-coach," balancing direct technical contribution with the mentorship and strategic leadership of a high-performing team. Your mission is to integrate Recursion's massive datasets-phenomics, transcriptomics, genomics, proteomics-to nominate novel targets, validate disease biology, and define the precision oncology strategies to advance our most promising therapeutic targets into full-fledged drug discovery programs.

This is a highly collaborative role: you will partner with biologists, data scientists, platform and data engineers, and translational experts to develop and scale methods for target discovery in oncology and immunological diseases. The ideal candidate has strong stakeholder management, technical communication, and 3+ years biotech or pharma experience in early drug discovery. 

In this role, you will:

  • Drive Target Discovery: Evaluate the molecular evidence for target nomination and validation, leveraging Recursion's platform to identify novel vulnerabilities in disease biology
  • Lead and mentor a team of data scientists and computational biologists, fostering a culture of scientific rigor, bold experimentation, delivery, and continuous professional growth. 
  • Pilot novel methods for target discovery, disease biology validation, and early patient population hypotheses to send programs into nomination cascades
  • Define internal criteria for target data packages and early patient population strategy
  • Connect your team's innovative analysis methods to platform and engineering teams so that we solve the current project and accelerate future ones
  • Collaborate cross-functionally: Partner with biologists, medicinal chemists, translational, and clinical leads to build compelling data packages that drive program milestones and portfolio investment decisions. 
  • Present data analysis to external decision makers and stakeholders in a clear and compelling way that drives toward getting medicines to patients.

The Team You'll Join 

Our group is a bold, agile, diverse collective of computational drug discovery scientists deeply focused on the singular goal of bringing new therapeutics into the clinic at an accelerated pace. Our expertise spans precision oncology, I&I (immunology and inflammation), and neuroscience and we focus on advancing novel, targeted therapies for these disease areas. We partner closely with other functions to design and execute impactful and decisional data analyses for new targets and drug programs and are responsible for data strategy across the portfolio. 

The Experience You'll Need

  • PhD in a relevant field (computational biology, bioinformatics, cancer biology, immuno-oncology, etc.) with a very strong computational focus and 3+ years of experience in biotech or pharma industry OR MS in a relevant field and 5+ years of experience in biotech or pharma industry solving fundamental problems in early drug discovery
  • Domain expertise in oncology or immunological diseases
  • Strong understanding of patient genetics and druggability of disease relevant pathways
  • Experience applying computational methods (including probabilistic, statistical, and/or machine learning techniques) to analyze and integrate complex biological and/or human clinical data in a high level programming language such as Python or R
  • Exceptional data visualization skills
  • A track record of managing and developing direct reports within a scientific or technical environment
  • Excellent cross-functional communication skills, including an ability to explain complex scientific concepts to a variety of audiences using a combination of plots, documents, and presentations

Nice To Have:

  • Experience building a target discovery engine in oncology or immunological diseases
  • Experience designing high-throughput screens with CRISPR or small molecule perturbations to validate therapeutic hypotheses
  • Previous exposure to translational and/or clinical development programs to guide selection of relevant models for target validation experiments

Working Location & Compensation:

This is an office-based, hybrid position at our US headquarters located in Salt Lake City, Utah. Employees are expected to work in the office at least 50% of the time.

At Recursion, we believe that every employee should be compensated fairly. Based on the skills, experience, and qualifications needed for this role, the estimated annual base salary range is: $200,000-$220,500. In addition to base salary, this role is eligible for an annual bonus, equity compensation, and a comprehensive benefits package.

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