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Remote Computational Chemistry Jobs in Minnesota

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or ...

... Remote considered for exceptional candidates. As part of a software-defined hardware company, you ... chemistry, and computational fluid dynamics. If you have a passion for science, a knack for solving ...

Remote Computational Chemistry information

What is a remote computational chemistry?

A Remote Computational Chemistry job involves using computer simulations and theoretical models to study chemical systems and predict molecular behavior, all while working from a remote location. Scientists in this role apply quantum mechanics, molecular dynamics, and other computational techniques to design new materials, optimize drug candidates, or analyze chemical reactions. These positions are common in pharmaceuticals, materials science, and academia, often requiring expertise in chemistry, programming, and data analysis. Remote positions enable collaboration with teams worldwide using cloud computing and specialized software.

What are the key skills and qualifications needed for remote computational chemistry?

To thrive as a Remote Computational Chemistry professional, a strong background in chemistry, physics, and computational science is required, typically supported by a relevant advanced degree (such as a master's or PhD). Familiarity with molecular modeling software (e.g., Gaussian, Schrödinger, AMBER) and coding languages like Python or C++ are essential, and experience using high-performance computing environments is highly valuable. Effective communication, time management, and independent problem-solving skills distinguish successful remote practitioners. Mastery of these areas ensures accurate research output, effective collaboration with interdisciplinary teams, and the ability to meet project deadlines while working remotely.

What does a typical workday look like for remote computational chemistry?

A typical day for a Remote Computational Chemistry professional often involves running molecular simulations, analyzing computational data, and collaborating with research scientists or project teams through virtual meetings. You may spend time setting up experiments using specialized software, troubleshooting code, or writing research reports and documentation. Communication is typically asynchronous, with regular updates shared via email or project management tools. Team members are often spread across different time zones, so strong self-motivation and proactive communication are key. The work is both analytical and creative, requiring a blend of technical expertise and collaborative problem-solving.

What are the most commonly searched types of Computational Chemistry jobs in Minnesota?

The most popular types of Computational Chemistry jobs in Minnesota are:

What are popular job titles related to Remote Computational Chemistry jobs in Minnesota?

For Remote Computational Chemistry jobs in Minnesota, the most frequently searched job titles are:

Infographic showing various Remote Computational Chemistry job openings in Minnesota as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Cheminformatics Specialist - Remote

micro1 AI

Minneapolis, MN • Remote

$80 - $110/hr

Part-time

Posted 27 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.