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Remote Phd Inorganic Chemist Jobs (NOW HIRING)

micro1 AI

Digital Chemistry Specialist - Remote

Fargo, ND · Remote

$90 - $120/hr

Contractor Location: Remote micro1 is engaging Bioinformatics Scientists to contribute their ... Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry ...

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How much do remote phd inorganic chemist jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for remote phd inorganic chemist in the United States is $30.99, according to ZipRecruiter salary data. Most workers in this role earn between $24.04 and $35.58 per hour, depending on experience, location, and employer.

What can you do with a remote PhD in inorganic chemistry?

A remote PhD in inorganic chemistry qualifies individuals for research, data analysis, and consulting roles in industries such as pharmaceuticals, materials science, and chemical manufacturing. It also enables opportunities in scientific writing, teaching, and remote collaboration using laboratory software and communication tools.
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Infographic showing various Remote Phd Inorganic Chemist job openings in the United States as of August 2026, with employment types broken down into 83% Full Time, 14% Part Time, and 3% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $64,466 per year, or $31 per hour.

Digital Chemistry Specialist - Remote

micro1 AI

Suffolk, VA • Remote

$90 - $120/hr

Part-time

Posted 20 days ago

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative 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 complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

Apply