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Remote Computational Modeling Scientist Jobs (NOW HIRING)

micro1 AI

Computational Biologist - AI Reviewer

Miami, FL · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

micro1 AI

Computational Biologist - AI Reviewer

Elgin, IL · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

micro1 AI

Computational Biologist - AI Reviewer

Denton, TX · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

micro1 AI

Computational Biologist - AI Reviewer

Kent, WA · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

micro1 AI

Computational Biologist - AI Reviewer

Dayton, OH · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

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Remote Computational Modeling Scientist information

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$50.5K

$111.3K

$137.5K

How much do remote computational modeling scientist jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote computational modeling scientist in the United States is $111,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $137,000.00 per year, depending on experience, location, and employer.

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.

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 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.
More about Remote Computational Modeling Scientist jobs
What cities are hiring for Remote Computational Modeling Scientist jobs? Cities with the most Remote Computational Modeling Scientist job openings:
What are the most commonly searched types of Computational Modeling Scientist jobs? The most popular types of Computational Modeling Scientist jobs are:
What states have the most Remote Computational Modeling Scientist jobs? States with the most job openings for Remote Computational Modeling Scientist jobs include:
What job categories do people searching Remote Computational Modeling Scientist jobs look for? The top searched job categories for Remote Computational Modeling Scientist jobs are:
Remote Computational Modeling Scientist jobs near you
Infographic showing various Remote Computational Modeling Scientist job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $111,343 per year, or $53.5 per hour.

Computational Biologist - AI Reviewer

micro1 AI

Amarillo, TX • On-site, Remote

$90 - $120/hr

Part-time

Posted 10 days ago

Job description

Role Title: Computational Biology Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic customer 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 annotate complex biological data sets, focusing on applications relevant to medicinal chemistry.
  2. Provide feedback and domain-specific insights to improve AI models in computational biology contexts.
  3. Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with industry standards.
  4. Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry challenges.
  5. Collaborate asynchronously with other experts to validate findings and share perspectives on project deliverables.
  6. Contribute to the refinement of data curation methodologies and best practices in computational biology.


Preferred Qualifications

  1. Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field.
  2. Demonstrated expertise in medicinal chemistry, including experience with drug discovery or design.
  3. Strong analytical skills with a deep understanding of biological datasets and scientific literature.
  4. Experience applying computational methods to solve problems in chemistry or biology.
  5. Proficiency with relevant bioinformatics tools, cheminformatics platforms, or data analysis software.
  6. Excellent written communication skills to clearly explain complex scientific concepts to diverse audiences.
  7. Previous participation in cross-disciplinary or AI-driven scientific projects is a plus.

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