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Part Time Computational Modeling Scientist Jobs (NOW HIRING)

Provide feedback and domain-specific insights to improve AI models in computational biology contexts. * Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with ...

Provide feedback and domain-specific insights to improve AI models in computational biology contexts. * Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with ...

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Part Time Computational Modeling Scientist information

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$50.5K

$111.3K

$137.5K

How much do part time computational modeling scientist jobs pay per year?

As of Aug 7, 2026, the average yearly pay for part time computational modeling scientist in the United States is $111,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $137,000.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Computational Modeling Scientist jobs? The most popular types of Computational Modeling Scientist jobs are:
Infographic showing various Part Time Computational Modeling Scientist job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $111,343 per year, or $53.5 per hour.

Computational Biologist - AI Reviewer

micro1 AI

Allentown, PA • On-site, Remote

$90 - $120/hr

Part-time

Posted 10 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.