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Remote Computational Material Science Jobs in Rhode Island

Varsity Tutors

Physical Chemistry Tutor

Providence, RI · Remote

$18 - $40/hr

Emphasizes mathematical rigor in chemical reasoning and connects physical chemistry to materials science, nanotechnology, and computational chemistry applications. * Curriculum Awareness & Adaptive ...

Varsity Tutors

Applied Mathematics Tutor

Providence, RI · Remote

$18 - $40/hr

... and computational science applications. * Conceptual Teaching & Problem-Solving: Skilled at ... Ability to identify concepts students commonly struggle with, explain material using multiple ...

Varsity Tutors

Rhino Tutor

Providence, RI · Remote

$18 - $40/hr

Ability to identify concepts students commonly struggle with, explain material using multiple ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Teknor Apex

Account Manager

Pawtucket, RI · Remote

... remote role. * Bachelor's degree or equivalent experience required; a technical degree in engineering, chemistry, polymer science, materials science, or a related field is preferred. * Routine travel ...

Varsity Tutors

Linear Algebra Tutor

Providence, RI · Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... Adapts instruction using matrix visualization tools, computational software like MATLAB or Python ...

Varsity Tutors

Coding Tutor

Providence, RI · Remote

$18 - $40/hr

Ability to explain computational thinking, pattern recognition, abstraction, and step-by-step ... Ability to identify concepts students commonly struggle with, explain material using multiple ...

UNFI

Sr. IT Project Manager - Remote

Providence, RI · On-site +1

$132K - $132K/yr

Manages day-to-day operational aspects of a project, producing the artifacts and materials required ... Bachelor's degree in the field of computer science, information systems, or software engineering or ...

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Remote Computational Material Science information

What is the difference between Remote Computational Material Science vs Remote Materials Data Analyst?

AspectRemote Computational Material ScienceRemote Materials Data Analyst
Required CredentialsAdvanced degrees in materials science, physics, or chemistry; programming skillsBachelor's or master's in materials science, data analysis, or related fields; proficiency in data tools
Work EnvironmentResearch labs, universities, or corporate R&D teams; focus on simulations and modelingData-focused roles in corporate or research settings; emphasis on data interpretation and visualization
Industry UsageResearch institutions, tech companies, manufacturingManufacturing, tech firms, consulting
Common Search/ComparisonYesYes

Remote Computational Material Science involves using simulations and modeling to understand material properties, requiring advanced technical skills. In contrast, Remote Materials Data Analysts focus on analyzing and visualizing data related to materials, often with less emphasis on modeling. Both roles are vital in materials research and industry, but they differ in technical focus and daily tasks.

What are popular job titles related to Remote Computational Material Science jobs in Rhode Island?

For Remote Computational Material Science jobs in Rhode Island, the most frequently searched job titles are:

What job categories do people searching Remote Computational Material Science jobs in Rhode Island look for?

The top searched job categories for Remote Computational Material Science jobs in Rhode Island are:

What cities in Rhode Island are hiring for Remote Computational Material Science jobs?

Cities in Rhode Island with the most Remote Computational Material Science job openings:

Remote Computational Material Science jobs near you

Cheminformatics Specialist - Remote

Providence, RI • Remote

micro1 AI
Software Development • 11 - 50 employees
Learn more about micro1 AIexternal

$80 - $110/hr

Part-time

Re-posted 16 hours 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.

Apply