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Remote Modeling Simulation Engineer Jobs in New Mexico

Improve Group

BIM & Design Coordination Lead

Albuquerque, NM · On-site +1

$53.50 - $73.50/hr

Exceptional candidates may be considered for an approved remote work arrangement within the United ... engineering consultants throughout project development. * Coordinate architectural models with ...

Amteck, LLC

BIM Technician - Electrical

Albuquerque, NM · On-site +1

... engineering teams through advanced 3D modeling and coordination. This role involves creating and ... This position is eligible to be fully remote or for work out of our Lexington, KY HQ or our ...

RE/SPEC Inc.

BI Developer (Contractor)

Albuquerque, NM · On-site +1

Depending on your expertise, you might design infrastructure in remote locations, develop renewable ... User administration, models, dashboards, user attributes * LookML development, dashboard design ...

Booz Allen Hamilton, Inc.

Data Architect, Senior

Albuquerque, NM · On-site +1

$65.25 - $87.25/hr

Experience mentoring engineers or analysts on data modeling and governance practices * Knowledge of ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

RE/SPEC Inc.

BI Developer (Contractor)

Albuquerque, NM · Remote

Depending on your expertise, you might design infrastructure in remote locations, develop renewable ... User administration, models, dashboards, user attributes * LookML development, dashboard design ...

Cardinal Health

$106K - $129K/yr

Recommends new practices, processes, metrics, or models * Works on or may lead complex projects of ... Remote Candidates who are back-to-work, people with disabilities, without a college degree, and ...

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Remote Modeling Simulation Engineer information

What is the difference between Remote Modeling Simulation Engineer vs Remote Data Analyst?

AspectRemote Modeling Simulation EngineerRemote Data Analyst
Required CredentialsBachelor's or higher in engineering, computer science, or related fields; experience with simulation softwareBachelor's or higher in statistics, mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentEngineering teams, simulation labs, software development settingsBusiness, finance, healthcare, or tech companies analyzing data sets
Industry UsageManufacturing, aerospace, automotive, defenseFinance, marketing, healthcare, technology
Common Search/ComparisonYesYes

The Remote Modeling Simulation Engineer focuses on creating and running simulations to predict system behaviors, often in engineering or manufacturing contexts. In contrast, the Remote Data Analyst interprets data to inform business decisions across various industries. While both roles require analytical skills and technical knowledge, their tools, applications, and industry focus differ significantly.

How does a remote modeling simulation engineer typically collaborate with cross-functional teams despite working remotely?

Remote Modeling Simulation Engineers frequently work with multidisciplinary teams, including software developers, project managers, and subject matter experts. Collaboration is typically facilitated through virtual meetings, shared simulation platforms, and cloud-based project management tools. Regular communication and thorough documentation are essential to ensure alignment on project goals and simulation requirements. While remote work offers flexibility, it also requires proactive engagement to stay connected and effectively contribute to team-driven problem solving.

What is a remote modeling simulation engineer?

Remote Modeling Simulation Engineers are professionals who use computer-based models and simulations to analyze, design, and optimize systems or products, often working from a location outside of a traditional office. They leverage specialized software to create virtual prototypes and run simulations, which helps in testing and improving designs without the need for physical experiments. These engineers collaborate with teams online, and their work is crucial in industries such as aerospace, automotive, energy, and manufacturing. Their remote setup allows companies to tap into a wider talent pool and offers professionals greater flexibility.

What are the key skills and qualifications needed to thrive as a remote modeling simulation engineer, and why are they important?

To thrive as a Remote Modeling Simulation Engineer, you need a solid background in engineering or computer science, strong mathematical modeling skills, and experience with simulation methodologies. Familiarity with tools like MATLAB, Simulink, Python, and simulation software, along with relevant certifications such as Certified Systems Engineering Professional (CSEP), is often required. Exceptional problem-solving, self-motivation, and clear communication are crucial soft skills, especially when collaborating remotely with diverse teams. These skills ensure accurate model development, effective virtual teamwork, and the delivery of reliable simulation results for complex engineering challenges.

What are the most commonly searched types of Modeling Simulation Engineer jobs in New Mexico?

The most popular types of Modeling Simulation Engineer jobs in New Mexico are:

What are popular job titles related to Remote Modeling Simulation Engineer jobs in New Mexico?

For Remote Modeling Simulation Engineer jobs in New Mexico, the most frequently searched job titles are:

What job categories do people searching Remote Modeling Simulation Engineer jobs in New Mexico look for?

The top searched job categories for Remote Modeling Simulation Engineer jobs in New Mexico are:

What cities in New Mexico are hiring for Remote Modeling Simulation Engineer jobs?

Cities in New Mexico with the most Remote Modeling Simulation Engineer job openings:

Remote Modeling Simulation Engineer jobs near you
Infographic showing various Remote Modeling Simulation Engineer job openings in New Mexico as of August 2026, with employment types broken down into 70% Full Time, 19% Part Time, and 11% Contract. Highlights an 100% Remote job distribution.

Bioinformatics Software Engineer

micro1 AI

Las Cruces, NM • Remote

$80 - $110/hr

Part-time

Posted 13 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.

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