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Remote Computational Mechanics Engineer Jobs in Springfield, MO

micro1 AI

Bioinformatics Software Engineer

Springfield, MO · Remote

$80 - $110/hr

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 ...

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Remote Computational Mechanics Engineer information

See Springfield, MO salary details

$44.1K

$110.5K

$125.1K

How much do remote computational mechanics engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for remote computational mechanics engineer in Springfield, MO is $110,534.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,400.00 and $119,600.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Computational Mechanics Engineer, you need strong analytical skills in mechanics, proficiency in numerical modeling, and a degree in mechanical engineering or a related field. Familiarity with finite element analysis (FEA) software such as ANSYS, Abaqus, or COMSOL, and experience with programming languages like Python or MATLAB are commonly required. Excellent problem-solving abilities, effective communication, and self-motivation are crucial soft skills for remote collaboration and project management. These competencies ensure accurate simulations, efficient workflow, and successful cross-team integration in a remote work environment.

How do remote computational mechanics engineers typically collaborate with team members and clients across different locations?

Remote Computational Mechanics Engineers often work closely with multidisciplinary teams, including fellow engineers, project managers, and clients, using virtual collaboration tools such as video conferencing, shared modeling platforms, and project management software. Regular online meetings and real-time document sharing are essential to ensure alignment on project goals, simulation results, and design iterations. Effective communication and proactive updates are crucial in overcoming challenges related to time zone differences and remote workflows, making strong organizational and interpersonal skills valuable assets in this role.

What is a remote computational mechanics engineer?

Remote Computational Mechanics Engineers are professionals who use computer-based modeling and simulation to analyze and solve problems related to the mechanics of materials and structures, all while working from a remote location. They typically use finite element analysis (FEA) and computational fluid dynamics (CFD) tools to predict how products will behave under various conditions. Their work helps in optimizing designs, improving safety, and reducing costs in industries such as aerospace, automotive, and civil engineering. Working remotely, they collaborate with teams using digital communication tools and specialized software.

What are the most commonly searched types of Computational Mechanics Engineer jobs in Springfield, MO?

The most popular types of Computational Mechanics Engineer jobs in Springfield, MO are:

What cities near Springfield, MO are hiring for Remote Computational Mechanics Engineer jobs?

Cities near Springfield, MO with the most Remote Computational Mechanics Engineer job openings:

Remote Computational Mechanics Engineer jobs near you

Bioinformatics Software Engineer

micro1 AI

Springfield, MO • Remote

$80 - $110/hr

Part-time

Posted 12 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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