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Remote Computational Modeling Scientist Jobs in Arkansas

Ability to explain modeling techniques for physical systems, approximation methods, and stability analysis while preparing students for engineering, physics, finance, and computational science ...

Ability to explain modeling techniques for physical systems, approximation methods, and stability analysis while preparing students for engineering, physics, finance, and computational science ...

Ability to explain modeling techniques for physical systems, approximation methods, and stability analysis while preparing students for engineering, physics, finance, and computational science ...

Rhino Tutor

Bentonville, AR · Remote

$18 - $40/hr

Deep knowledge of Rhinoceros 3D NURBS modeling, surface creation, solid modeling, Grasshopper ... and computational design careers. * Conceptual Teaching & Problem-Solving: Skilled at teaching ...

Rhino Tutor

Conway, AR · Remote

$18 - $40/hr

Deep knowledge of Rhinoceros 3D NURBS modeling, surface creation, solid modeling, Grasshopper ... and computational design careers. * Conceptual Teaching & Problem-Solving: Skilled at teaching ...

Rhino Tutor

Fayetteville, AR · Remote

$18 - $40/hr

Deep knowledge of Rhinoceros 3D NURBS modeling, surface creation, solid modeling, Grasshopper ... and computational design careers. * Conceptual Teaching & Problem-Solving: Skilled at teaching ...

Rhino Tutor

Fort Smith, AR · Remote

$18 - $40/hr

Deep knowledge of Rhinoceros 3D NURBS modeling, surface creation, solid modeling, Grasshopper ... and computational design careers. * Conceptual Teaching & Problem-Solving: Skilled at teaching ...

... science, nanotechnology, and computational chemistry applications. * Curriculum Awareness ... models to support chemistry majors at the advanced undergraduate level. * Effective Teaching ...

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Remote Computational Modeling Scientist information

What is a remote computational modeling scientist?

A Remote Computational Modeling Scientist is a professional who uses advanced computer simulations and mathematical models to analyze complex systems or predict outcomes in fields such as physics, biology, chemistry, or engineering—all while working remotely. They design, develop, and implement computational models to solve scientific problems, often collaborating with research teams virtually. Their work helps organizations understand phenomena, optimize processes, and accelerate innovation without needing to be physically present in a traditional lab or office setting.

What are the key skills and qualifications needed to thrive as a remote computational modeling scientist?

To thrive as a Remote Computational Modeling Scientist, you need a strong background in mathematics, physics, or engineering, along with experience in computational modeling and a relevant advanced degree. Proficiency with programming languages (such as Python, MATLAB, or C++), simulation software, and version control systems is typically expected. Exceptional problem-solving abilities, self-motivation, and effective virtual communication are vital soft skills for remote collaboration and independent workflow. These competencies ensure accurate model development, efficient project delivery, and seamless teamwork across distributed environments.

How does a remote computational modeling scientist typically collaborate with cross-functional teams while working off-site?

As a Remote Computational Modeling Scientist, you’ll often work closely with multidisciplinary teams, including experimental scientists, data analysts, and software engineers. Collaboration usually takes place through virtual meetings, shared project management tools, and cloud-based data repositories, ensuring seamless communication despite geographical distance. Clear documentation, proactive updates, and flexible scheduling are key to overcoming the challenges of time zone differences and remote coordination. Building strong professional relationships and maintaining transparency help facilitate effective teamwork and project success.

What is the difference between Remote Computational Modeling Scientist vs Remote Data Scientist?

AspectRemote Computational Modeling ScientistRemote Data Scientist
Required CredentialsAdvanced degrees in computational science, physics, or related fields; programming skillsDegree in data science, statistics, or related fields; programming and analytical skills
Work EnvironmentResearch labs, tech companies, or industries requiring simulation and modelingBusiness, tech, healthcare, or finance sectors analyzing large datasets
Employer & Industry UsageResearch institutions, biotech, aerospace, and engineering firmsTech companies, finance, healthcare, marketing
Common Search & ComparisonYesNo

The Remote Computational Modeling Scientist focuses on developing and applying computational models to simulate complex systems, often requiring advanced scientific knowledge. In contrast, the Remote Data Scientist primarily analyzes large datasets to extract insights for business decisions. While both roles involve programming and data analysis, their core applications and industries differ significantly.

What are the most commonly searched types of Computational Modeling Scientist jobs in Arkansas?

The most popular types of Computational Modeling Scientist jobs in Arkansas are:

What are popular job titles related to Remote Computational Modeling Scientist jobs in Arkansas?

For Remote Computational Modeling Scientist jobs in Arkansas, the most frequently searched job titles are:

What job categories do people searching Remote Computational Modeling Scientist jobs in Arkansas look for?

The top searched job categories for Remote Computational Modeling Scientist jobs in Arkansas are:

What cities in Arkansas are hiring for Remote Computational Modeling Scientist jobs?

Cities in Arkansas with the most Remote Computational Modeling Scientist job openings:

Infographic showing various Remote Computational Modeling Scientist job openings in Arkansas as of June 2026, with employment types broken down into 1% As Needed, 30% Full Time, 63% Part Time, 3% Temporary, 2% Contract, and 1% Nights. Highlights an 42% Physical, 2% Hybrid, and 56% Remote job distribution.

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Fayetteville, AR • Remote

$80 - $110/hr

Part-time

Posted 26 days ago


Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. 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. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.