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Computational Modeling Simulation Phd Jobs in Texas

micro1 AI

Computational Biologist - AI Reviewer

Allen, TX · On-site +1

$90 - $120/hr

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... Preferred Qualifications * Advanced degree (PhD, PharmD, or MSc) in computational biology ...

Airswift

Geomechanics Numerical Modeler

Spring, TX · On-site

... computational modeling, and finite element analysis who are passionate about applying numerical ... Master's degree or PhD strongly preferred. * 5-15 years of experience applying geomechanical ...

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Computational Modeling Simulation Phd information

What is the difference between Computational Modeling Simulation Phd vs Computational Scientist?

AspectComputational Modeling Simulation PhdComputational Scientist
Required CredentialsPhD in computational sciences, engineering, or related fieldMaster's or PhD in computational or related fields
Work EnvironmentResearch labs, academia, industry R&DResearch institutions, tech companies, industry R&D
Industry UsageDeveloping models, simulations, and algorithms for complex systemsApplying computational methods to solve scientific or engineering problems

Both roles involve advanced computational skills and research experience, but the Computational Modeling Simulation Phd typically focuses on developing and validating models through extensive research, while a Computational Scientist applies these methods to practical problems across various industries.

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Computational Modeling Simulation Phd jobs near you

Computational Biologist - AI Reviewer

micro1 AI

Pasadena, TX • On-site, Remote

$90 - $120/hr

Part-time

Posted 15 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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