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Computational Scientist Remote Jobs in Michigan (NOW HIRING)

micro1 AI

Cheminformatics Specialist - Remote

Detroit, MI · Remote

$80 - $110/hr

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

micro1 AI

Cheminformatics Specialist - Remote

Lansing, MI · Remote

$80 - $110/hr

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

micro1 AI

Cheminformatics Specialist - Remote

Warren, MI · Remote

$80 - $110/hr

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

micro1 AI

Bioinformatics Software Engineer

Detroit, MI · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

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Computational Scientist Remote information

What is a computational scientist?

A Computational Scientist is a professional who uses advanced computing techniques, mathematical models, and simulations to solve complex problems in science and engineering. They develop algorithms, write code, and analyze large datasets to gain insights in fields like physics, biology, chemistry, and more. Working remotely, they collaborate with research teams, utilize high-performance computing resources, and often contribute to scientific publications. Their work is critical in accelerating discoveries and innovations by transforming raw data into actionable knowledge.

How do computational scientists collaborate with multidisciplinary teams in a remote work setting?

Computational Scientists often work closely with researchers, data analysts, and software engineers, even when working remotely. Effective collaboration typically involves regular virtual meetings, shared code repositories, and collaborative project management tools to ensure alignment on research goals and methodologies. Daily responsibilities may include discussing data findings, troubleshooting models, and integrating diverse expertise into computational solutions. Remote teams often leverage communication platforms to maintain a strong sense of teamwork and project momentum.

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

To thrive as a Computational Scientist remotely, you need a strong background in mathematics, programming (such as Python or C++), and domain-specific scientific knowledge, often supported by an advanced degree in a STEM field. Familiarity with high-performance computing environments, data analysis tools, and version control systems like Git is typically required. Excellent problem-solving, self-motivation, and effective virtual communication are crucial soft skills for remote collaboration and productivity. These competencies ensure accurate scientific modeling, efficient teamwork, and successful project outcomes in a distributed work setting.

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

AspectComputational Scientist RemoteData Scientist
Required CredentialsAdvanced degrees in science, engineering, or related fields; programming skillsDegree in statistics, computer science, or related fields; programming and analytical skills
Work EnvironmentRemote, research-focused, often in scientific or technical industriesRemote or on-site, business or tech industries, data analysis focus
Employer & Industry UsageResearch institutions, scientific companies, government labsTech companies, finance, healthcare, consulting firms
Common Search & Comparison IntentUnderstanding roles, skills, and remote opportunitiesJob responsibilities, skills, and industry applications

While both roles involve data analysis and programming, Computational Scientists Remote focus on scientific research and simulations, often in research or technical industries. Data Scientists typically analyze business data to inform decisions. The roles overlap in skills like programming and statistical analysis but differ in industry focus and work environment.

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

The most popular types of Computational Scientist jobs in Michigan are:

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

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

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

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

What cities in Michigan are hiring for Computational Scientist Remote jobs?

Cities in Michigan with the most Computational Scientist Remote job openings:

Computational Scientist Remote jobs near you
Infographic showing various Computational Scientist Remote job openings in Michigan as of August 2026, with employment types broken down into 84% Full Time, 8% Part Time, and 8% Contract. Highlights an 100% Remote job distribution.

Computational Mechanics Expert - PhD - AI Trainer

Mercor

Detroit, MI • Remote

$70 - $85/hr

Full-time

Posted 17 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Computational Structural & Mechanical Engineering Expert
Type: Contract
Compensation: $70–$85/hour
Location: Remote
Commitment: 15–20 hours/week

Role Responsibilities

  • Design challenging computational problems to evaluate AI capabilities in scientific research.
  • Develop problems requiring AI to execute complex workflows using specialized scientific software.
  • Test and refine problems against state-of-the-art AI models to achieve the desired difficulty.
  • Collaborate independently to improve problem designs and ensure strategic reasoning.
  • Utilize open-source computational tools like FEniCSx/DOLFINx, OpenFOAM, and others for problem creation.

Qualifications

Must-Have

  • Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience).
  • Proven proficiency with scientific software libraries through research publications or professional work.
  • Strong Python skills for writing problem setups and solution validators.
  • Ability to work independently and refine designs based on feedback.
  • Comfortable in a Linux/terminal environment with remote compute sandboxes.

Preferred

  • Experience across multiple listed domains or tools.
  • Familiarity with benchmark or evaluation design.
  • Background in scientific teaching or exam/problem-set design.
  • Experience with computational reproducibility and containerized environments.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.


#hiringmercor