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Remote Python Data Analysis Jobs in Williamsburg, VA

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building ...

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

... analyses. * Produce technically precise, clearly written solutions, detailing all assumptions ... Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational ...

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

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Remote Python Data Analysis information

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How much do remote python data analysis jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for remote python data analysis in Williamsburg, VA is $56.21, according to ZipRecruiter salary data. Most workers in this role earn between $46.35 and $63.85 per hour, depending on experience, location, and employer.

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The top searched job categories for Remote Python Data Analysis jobs in Williamsburg, VA are:

What cities near Williamsburg, VA are hiring for Remote Python Data Analysis jobs?

Cities near Williamsburg, VA with the most Remote Python Data Analysis job openings:

Digital Chemistry Specialist - Remote

micro1 AI

Newport News, VA • Remote

$90 - $120/hr

Part-time

Posted 18 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.