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Remote Molecular Modeling Jobs in Washington (NOW HIRING)

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

To thrive as a Remote Molecular Modeler, you need a strong background in chemistry, biochemistry, or related fields, typically supported by an advanced degree such as a PhD or MSc. Proficiency with molecular modeling software (e.g., Schrödinger, MOE, AMBER), programming languages (such as Python), and experience with computational chemistry tools are essential. Strong analytical thinking, attention to detail, and effective communication skills help you interpret data and collaborate with cross-functional teams remotely. These competencies are crucial for accurately simulating molecular interactions and contributing to research and drug discovery projects.

What is remote molecular modeling?

Remote molecular modeling refers to the use of specialized software and computational tools to simulate and analyze the structures and behaviors of molecules, all performed from a remote location rather than a physical laboratory. Scientists and researchers can use cloud-based platforms or remote desktop connections to access powerful computing resources, collaborate with colleagues, and conduct experiments virtually. This approach is especially useful for drug design, protein engineering, and material science research, allowing for flexibility and efficient teamwork across different geographic locations.

How does a remote molecular modeling professional typically collaborate with laboratory-based researchers and cross-functional teams?

Remote molecular modeling professionals frequently interact with laboratory scientists, medicinal chemists, and other team members through virtual meetings, collaborative software, and detailed reporting. They often participate in project discussions to interpret simulation results, advise on compound design, and provide computational insights that guide experimental planning. Effective communication and timely sharing of data are essential, as remote modelers bridge the gap between in silico predictions and hands-on laboratory work. This collaborative dynamic ensures that computational findings are seamlessly integrated into broader research efforts.
What are the most commonly searched types of Molecular Modeling jobs in Washington? The most popular types of Molecular Modeling jobs in Washington are:
What are popular job titles related to Remote Molecular Modeling jobs in Washington? For Remote Molecular Modeling jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Molecular Modeling jobs in Washington look for? The top searched job categories for Remote Molecular Modeling jobs in Washington are:
What cities in Washington are hiring for Remote Molecular Modeling jobs? Cities in Washington with the most Remote Molecular Modeling job openings:
Remote Molecular Modeling jobs near you
Infographic showing various Remote Molecular Modeling job openings in Washington as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution.

Digital Chemistry Specialist - Remote

micro1 AI

Washington, DC • Remote

$90 - $120/hr

Part-time

Posted 14 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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