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Knime Data Jobs Near Me

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger ...

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger ...

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$82.6K

$136K

How much do knime data jobs pay per year?

As of Aug 19, 2026, the average yearly pay for knime data in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

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Cities with the most Knime Data job openings:

What states have the most Knime Data jobs?

States with the most job openings for Knime Data jobs include:

A map of the United States highlighting the number of Knime Data job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Knime Data job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Digital Chemistry Specialist - Remote

micro1 AI

Columbus, OH • Remote

$90 - $120/hr

Part-time

Posted 22 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.