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Remote Cheminformatics Scientist Jobs in Virginia

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Remote Cheminformatics Scientist information

What is a remote cheminformatics scientist?

A Remote Cheminformatics Scientist is a professional who applies computational techniques and information technology to solve chemical and pharmaceutical problems, while working from a location outside of a traditional laboratory or office. They analyze chemical data, develop algorithms, and create software tools to support research in drug discovery, materials science, and other fields. Their work often involves collaborating with multidisciplinary teams, managing large datasets, and building predictive models, all while utilizing specialized cheminformatics platforms remotely.

How does a remote cheminformatics scientist typically collaborate with cross-functional teams while working offsite?

Remote Cheminformatics Scientists often work closely with computational chemists, data scientists, and laboratory researchers through digital collaboration tools such as shared databases, cloud platforms, and regular video conferences. Clear communication and documentation are essential, as project updates and data analyses are frequently shared asynchronously. Virtual team meetings and collaborative platforms like Slack or Microsoft Teams help maintain alignment and ensure smooth project progress. Building strong relationships remotely requires proactive engagement and responsiveness to team needs.

What is the difference between Remote Cheminformatics Scientist vs Remote Bioinformatics Scientist?

AspectRemote Cheminformatics ScientistRemote Bioinformatics Scientist
Required CredentialsDegree in Chemistry, Bioinformatics, or related field; experience with cheminformatics toolsDegree in Biology, Bioinformatics, or related field; experience with biological data analysis
Work EnvironmentPharmaceutical or chemical industry; research labs; remote options commonBiotech or healthcare industry; research labs; remote work frequently available
Employer & Industry UsageUsed by pharma, chemical companies, and research institutionsCommon in biotech, healthcare, and academic research

The Remote Cheminformatics Scientist and Remote Bioinformatics Scientist roles share similarities in required credentials and work environments, often involving remote work in research-focused industries. The main difference lies in their focus areas: cheminformatics emphasizes chemical data and molecular modeling, while bioinformatics centers on biological data analysis. Both roles are vital in advancing research and drug discovery, with overlapping skills but distinct domain expertise.

What are the key skills and qualifications needed to thrive as a remote cheminformatics scientist, and why are they important?

To thrive as a Remote Cheminformatics Scientist, you need a solid background in chemistry, computational science, and data analysis, typically supported by an advanced degree in chemistry, bioinformatics, or a related field. Familiarity with cheminformatics software (such as RDKit or Open Babel), programming languages like Python, and experience with databases and machine learning tools are commonly required. Strong problem-solving abilities, attention to detail, and effective remote communication skills distinguish top performers in this role. These competencies are essential for efficiently analyzing chemical data, collaborating with interdisciplinary teams, and driving innovative research in a virtual environment.
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Infographic showing various Remote Cheminformatics Scientist job openings in Virginia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

AI Training Specialist - Life Sciences

micro1 AI

Newport News, VA • Remote

$90 - $120/hr

Part-time

Posted 12 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.

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