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Remote Computational Modeling Scientist Jobs in Fishers, IN

micro1 AI

Cheminformatics Specialist - Remote

Carmel, IN · Remote

$80 - $110/hr

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

micro1 AI

Cheminformatics Specialist - Remote

Fishers, IN · Remote

$80 - $110/hr

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

micro1 AI

Bioinformatics Software Engineer

Carmel, IN · Remote

$80 - $110/hr

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

micro1 AI

Bioinformatics Software Engineer

Fishers, IN · Remote

$80 - $110/hr

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

Varsity Tutors

Rhino Tutor

Indianapolis, IN · 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 ...

Varsity Tutors

Physical Chemistry Tutor

Indianapolis, IN · Remote

$18 - $40/hr

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

A.C. Coy

Cobol/IDMS Developer (Remote)

Indianapolis, IN · On-site +1

$48 - $65/hr

This will be a 100% remote Contract-to-Hire position. * Must be a US Citizen. * SELECTED CANDIDATES ... Design, develop and modify software systems, using scientific analysis and mathematical models to ...

A.C. Coy

Cobol/IDMS Developer (Remote)

Indianapolis, IN · Remote

$48 - $65/hr

This will be a 100% remote Contract-to-Hire position. * Must be a US Citizen. * SELECTED CANDIDATES ... Design, develop and modify software systems, using scientific analysis and mathematical models to ...

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All JobsComputational Modeling Scientist JobsRemote Computational Modeling Scientist JobsRemote Computational Modeling Scientist Jobs in Fishers, IN

Remote Computational Modeling Scientist information

See Fishers, IN salary details

$47.3K

$104.2K

$128.7K

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

As of Aug 29, 2026, the average yearly pay for remote computational modeling scientist in Fishers, IN is $104,218.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,500.00 and $128,200.00 per year, depending on experience, location, and employer.

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 popular job titles related to Remote Computational Modeling Scientist jobs in Fishers, IN?

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

What job categories do people searching Remote Computational Modeling Scientist jobs in Fishers, IN look for?

The top searched job categories for Remote Computational Modeling Scientist jobs in Fishers, IN are:

What cities near Fishers, IN are hiring for Remote Computational Modeling Scientist jobs?

Cities near Fishers, IN with the most Remote Computational Modeling Scientist job openings:

Remote Computational Modeling Scientist jobs near you
Infographic showing various Remote Computational Modeling Scientist job openings in Fishers, IN as of August 2026, with employment types broken down into 54% Full Time, and 46% Part Time. Highlights an 100% Remote job distribution, with an average salary of $104,218 per year, or $50.1 per hour.

Computational Biology MLOps Engineer (Remote)

Indianapolis, IN • Remote

Marlabs
IT Services • 1 - 5K employees
Learn more about Marlabsexternal

$114K - $134K/yr

Full-time

Re-posted 6 days ago

Job description

Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the largest healthcare, life sciences, financial services, and government organizations worldwide. As we continue to expand our global footprint, we have an exciting opportunity for a highly skilled Computational Biology MLOps Engineer to join our innovative and dynamic team.  

This role requires onsite work three (3) days per week in Indianapolis, IN or San Diego, CA. 

Computational Biology MLOps Engineer | About You 

As a Computational Biology MLOps Engineer, you are responsible for building and scaling the ML infrastructure that supports next generation in silico protein design and engineering. You bridge cutting edge AI research and production systems at the intersection of machine learning, computational biology, and high performance computing. You thrive in cross functional environments and partner closely with computational scientists and platform engineers to accelerate research velocity. You bring strong software, DevOps, and data engineering fundamentals with hands on experience across CI/CD, orchestration, and distributed training. Experience working with scientific or multimodal data and interest in protein language and generative models is a plus. 

Computational Biology MLOps Engineer | Day-to-Day 

  • Build and maintain ML infrastructure, including CI/CD pipelines (GitHub Actions) for model training, evaluation, and deployment. 
  • Orchestrate compute across Kubernetes clusters and SLURM and HPC environments to optimize utilization for large scale training. 
  • Develop robust and scalable data pipelines that deliver ML ready datasets from biological sources such as PDB and mmCIF files, sequence databases, and assay readouts. 
  • Create tools and frameworks that enable rapid iteration on protein language models, diffusion models, and other generative approaches. 
  • Architect systems that scale across distributed environments and support multimodal datasets for large foundational models. 
  • Implement monitoring, logging, and alerting to ensure reliability, performance, and cost efficiency of production ML systems. 

Computational Biology MLOps Engineer | Skills & Experience 

  • 5+ years of overall industry experience in software engineering, DevOps, data engineering, or ML engineering roles, including 3+ years of focused MLOps experience building and maintaining production grade ML infrastructure. 
  • Proven CI/CD expertise with GitHub Actions and strong DevOps practices including infrastructure as code, version control, and collaborative workflows. 
  • Hands on Kubernetes experience in deploying and managing containerized ML workloads with familiarity using container registries. 
  • Proficiency with SLURM or similar job schedulers in HPC environments and experience with distributed training optimization including mixed precision and checkpointing. 
  • Strong Python skills and experience with major ML frameworks including PyTorch, TensorFlow, or JAX. 
  • Experience building ETL processes and scalable data and feature pipelines and experience with cloud platforms such as AWS, GCP, or Azure. 
  • Preferred experience with scientific data, protein structure formats such as PDB and mmCIF, protein AI models including ESM, and agentic systems such as MCP, LangGraph, and LangChain.