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Remote Chemical Engineering Mining Jobs in Raleigh, NC

micro1 AI

Bioinformatics Software Engineer

Cary, NC · Remote

$80 - $110/hr

Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports. * Experience participating in multidisciplinary and/or remote projects ...

micro1 AI

Bioinformatics Software Engineer

Raleigh, NC · Remote

$80 - $110/hr

Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports. * Experience participating in multidisciplinary and/or remote projects ...

micro1 AI

Bioinformatics Software Engineer

Durham, NC · Remote

$80 - $110/hr

Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports. * Experience participating in multidisciplinary and/or remote projects ...

Redhat

Principal Data Scientist

Raleigh, NC · On-site +1

$147K - $243K/yr

Use machine learning, data mining, and statistical methods to distill meaningful insights from ... Work closely with data engineering and ML Ops functional roles to operationalize data science ...

Dlapiper

Data Scientist

Raleigh, NC · On-site +1

... and software engineering. Identifies patterns and looks for opportunities for optimization ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

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All JobsChemical Engineering Mining JobsRemote Chemical Engineering Mining JobsRemote Chemical Engineering Mining Jobs in Raleigh, NC

Remote Chemical Engineering Mining information

See Raleigh, NC salary details

$38.9K

$85K

$136.1K

How much do remote chemical engineering mining jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote chemical engineering mining in Raleigh, NC is $85,044.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,600.00 and $103,500.00 per year, depending on experience, location, and employer.

What is the difference between Remote Chemical Engineering Mining vs Remote Chemical Engineering Geology?

AspectRemote Chemical Engineering MiningRemote Chemical Engineering Geology
Required CredentialsBachelor's in Chemical Engineering, relevant certificationsBachelor's in Geology or Earth Sciences, certifications may vary
Work EnvironmentMining sites, chemical processing facilities, remote project sitesField sites, laboratories, remote geological survey locations
Industry UsageMining companies, chemical processing industriesMining exploration, geological consulting firms
Common Search/ComparisonYesYes

Remote Chemical Engineering Mining and Remote Chemical Engineering Geology share similarities in requiring engineering or earth science credentials and often involve remote work environments. However, their focus differs: mining engineers concentrate on chemical processes in mining operations, while geology engineers focus on geological assessments and exploration. Both roles are vital in the mining industry but serve distinct functions.

What are popular job titles related to Remote Chemical Engineering Mining jobs in Raleigh, NC?

For Remote Chemical Engineering Mining jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Remote Chemical Engineering Mining jobs in Raleigh, NC look for?

The top searched job categories for Remote Chemical Engineering Mining jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Remote Chemical Engineering Mining jobs?

Cities near Raleigh, NC with the most Remote Chemical Engineering Mining job openings:

Remote Chemical Engineering Mining jobs near you

Bioinformatics Software Engineer

micro1 AI

Cary, NC • Remote

$80 - $110/hr

Part-time

This job post has expired 2 days ago. Applications are no longer accepted.

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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