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Model Validation Remote Jobs in Arkansas (NOW HIRING)

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Biostatistician

Little Rock, AR ยท Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Biostatistician

Fayetteville, AR ยท Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Remote Monitoring * Collect and evaluate energy, weather, and building automation data on some ... Energy Modeling * Develop engineering-based energy models to simulate existing and proposed ...

Remote Monitoring * Collect and evaluate energy, weather, and building automation data on some ... Energy Modeling * Develop engineering-based energy models to simulate existing and proposed ...

Remote Monitoring * Assist with the collection and evaluation of energy, weather, and building ... Energy Modeling * Assist with the development of engineering-based energy models to simulate ...

Remote Monitoring * Collect and evaluate energy, weather, and building automation data on some ... Energy Modeling * Develop engineering-based energy models to simulate existing and proposed ...

Remote Monitoring * Collect and evaluate energy, weather, and building automation data on some ... Energy Modeling * Develop engineering-based energy models to simulate existing and proposed ...

Remote Monitoring * Assist with the collection and evaluation of energy, weather, and building ... Energy Modeling * Assist with the development of engineering-based energy models to simulate ...

Remote Monitoring * Assist with the collection and evaluation of energy, weather, and building ... Energy Modeling * Assist with the development of engineering-based energy models to simulate ...

Remote Monitoring * Collect and evaluate energy, weather, and building automation data on some ... Energy Modeling * Develop engineering-based energy models to simulate existing and proposed ...

Remote Monitoring * Collect and evaluate energy, weather, and building automation data on some ... Energy Modeling * Develop engineering-based energy models to simulate existing and proposed ...

Remote Monitoring * Assist with the collection and evaluation of energy, weather, and building ... Energy Modeling * Assist with the development of engineering-based energy models to simulate ...

Remote Monitoring * Collect and evaluate energy, weather, and building automation data on some ... Energy Modeling * Develop engineering-based energy models to simulate existing and proposed ...

Remote Monitoring * Assist with the collection and evaluation of energy, weather, and building ... Energy Modeling * Assist with the development of engineering-based energy models to simulate ...

Showing results 21-40

Model Validation Remote information

What is the difference between Model Validation Remote vs Model Validation on-site?

AspectModel Validation RemoteModel Validation on-site
Work EnvironmentRemote, home-basedOn-site, office or client location
Required CredentialsSimilar certifications, e.g., CFA, FRM, or relatedSame as remote, often with additional in-person requirements
Industry UsageFinancial institutions, banks, asset managersSame industries, with in-person collaboration
Work FlexibilityHigh, flexible hours and locationLess flexible, fixed hours and location

Both remote and on-site model validation roles require similar credentials and industry knowledge. The main difference lies in the work environment and flexibility, with remote positions offering greater convenience and location independence, while on-site roles facilitate direct collaboration and immediate access to resources.

What are the key skills and qualifications needed to thrive as a model validation remote?

To thrive as a Model Validation Remote, you need a strong background in quantitative disciplines such as mathematics, statistics, or finance, typically supported by a relevant degree. Proficiency with statistical software (like SAS, R, or Python), model risk management frameworks, and familiarity with regulatory guidelines (such as SR 11-7) are commonly required. Analytical thinking, attention to detail, and strong written communication are crucial soft skills in this role. These skills ensure accurate model assessments, regulatory compliance, and effective communication of complex findings to stakeholders.

What is model validation in a remote job context?

Model validation, especially in a remote setting, involves evaluating and verifying the accuracy, performance, and reliability of statistical or machine learning models from a location outside of a traditional office. Professionals in this role typically assess whether models meet regulatory requirements, function as intended, and are free from biases or errors. Remote model validators use various tools and techniques to conduct tests, write reports, and communicate findings with stakeholders via digital platforms. This work is essential in sectors like finance, insurance, and tech, where robust models drive critical decisions. Successful remote model validation requires strong analytical skills, clear communication, and proficiency with data analysis tools.

What are some common challenges faced by professionals in remote model validation roles, and how can they be addressed?

Remote model validation professionals often encounter challenges such as maintaining clear communication with model developers and stakeholders, accessing secure data environments, and staying updated with evolving regulatory standards. To address these, it's important to leverage robust collaboration tools, schedule regular check-ins with cross-functional teams, and participate in ongoing training or knowledge-sharing sessions. Establishing clear documentation protocols and ensuring secure remote access to necessary data can also help maintain productivity and compliance.
What are popular job titles related to Model Validation Remote jobs in Arkansas? For Model Validation Remote jobs in Arkansas, the most frequently searched job titles are:
What job categories do people searching Model Validation Remote jobs in Arkansas look for? The top searched job categories for Model Validation Remote jobs in Arkansas are:

Director of Biostatistics

micro1 AI

Fayetteville, AR โ€ข Remote

$60 - $65/hr

Part-time

Posted 6 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 โ€” 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.