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Knime Analytics Platform Jobs in Ohio (NOW HIRING)

micro1 AI

Bioinformatics Software Engineer

Cincinnati, OH · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational ... Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger ...

micro1 AI

Bioinformatics Software Engineer

Dayton, OH · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational ... Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger ...

micro1 AI

Bioinformatics Software Engineer

Toledo, OH · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational ... Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger ...

micro1 AI

Cheminformatics Specialist - Remote

Toledo, OH · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational ... Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger ...

micro1 AI

Cheminformatics Specialist - Remote

Akron, OH · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational ... Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger ...

micro1 AI

Bioinformatics Software Engineer

Cleveland, OH · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational ... Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger ...

micro1 AI

Cheminformatics Specialist - Remote

Columbus, OH · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational ... Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger ...

micro1 AI

Bioinformatics Software Engineer

Columbus, OH · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational ... Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger ...

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All JobsKnime Analytics Platform JobsKnime Analytics Platform Jobs in Ohio

Knime Analytics Platform information

What is KNIME Analytics Platform?

KNIME Analytics Platform is an open-source software for data analytics, reporting, and integration. It provides a graphical interface that enables users to create data workflows without needing to write code, though coding is supported for advanced tasks. KNIME supports a wide range of data sources and integrates with popular machine learning and data mining libraries. It is widely used for tasks like data preprocessing, statistical analysis, and predictive modeling. The platform is popular among data scientists, analysts, and researchers for its flexibility and extensibility.

What is the difference between Knime Analytics Platform vs Data Analyst?

AspectKnime Analytics PlatformData Analyst
Required CredentialsProficiency in data analytics tools, certifications in data science or analyticsBachelor's degree in statistics, data science, or related field; certifications are a plus
Work EnvironmentData science teams, analytics departments, often in tech or finance industriesBusiness units, reporting teams, across various industries
Employer & Industry UsageUsed for data integration, machine learning, and automation in analytics projectsAnalyzing data, creating reports, supporting decision-making processes

Knime Analytics Platform is a powerful tool for data scientists and analytics teams, focusing on data processing and machine learning. Data Analysts typically use a variety of tools, including Knime, to interpret data and generate insights. While both roles require analytical skills, Knime specialists focus on building workflows and automation, whereas Data Analysts focus on interpreting data and reporting.

Does Knime Analytics Platform offer certifications?

Yes, KNIME offers certification programs for users to validate their skills in using the KNIME Analytics Platform. These certifications include the KNIME Certified Developer and KNIME Certified Professional, which demonstrate proficiency in data analytics and workflow design. Certification exams are available online and require passing a practical assessment to earn the credential.

What are some common challenges faced when onboarding new team members to projects using KNIME Analytics Platform?

Onboarding new team members to projects in KNIME Analytics Platform often involves ensuring familiarity with KNIME's workflow-based interface and the specific extensions used in your organization. New users may initially find it challenging to adapt to KNIME’s node-based approach, especially if they are more accustomed to coding-centric data tools. Providing access to well-documented, modular workflows and encouraging participation in KNIME’s community forums can accelerate learning. Collaboration is typically enhanced through version control integrations and shared workspace environments, which help new members quickly align with team standards and best practices.

Is KNIME in demand?

Knime Analytics Platform is increasingly in demand as organizations seek data analysts and data scientists skilled in visual workflow tools and data integration. Proficiency in KNIME, along with knowledge of data mining and machine learning, can enhance job prospects in analytics roles across various industries.

What are the key skills and qualifications needed to thrive as a KNIME Analytics Platform specialist, and why are they important?

To thrive as a KNIME Analytics Platform specialist, you need a solid background in data analysis, statistics, and experience with data integration and workflow automation. Familiarity with the KNIME software suite, data visualization tools, and scripting languages such as Python or R, as well as relevant certifications like KNIME Certified Analytics Professional, are highly beneficial. Strong problem-solving skills, attention to detail, and effective communication set top performers apart in this role. These skills and qualifications enable professionals to efficiently manage data-driven projects, deliver actionable insights, and support business decision-making.

What are popular job titles related to Knime Analytics Platform jobs in Ohio?

For Knime Analytics Platform jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Knime Analytics Platform jobs in Ohio look for?

The top searched job categories for Knime Analytics Platform jobs in Ohio are:

What cities in Ohio are hiring for Knime Analytics Platform jobs?

Cities in Ohio with the most Knime Analytics Platform job openings:

Knime Analytics Platform jobs near you
Infographic showing various Knime Analytics Platform job openings in Ohio as of June 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 91% In-person, and 9% Hybrid job distribution.

Bioinformatics Software Engineer

micro1 AI

Cincinnati, OH • Remote

$80 - $110/hr

Part-time

Posted 13 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery 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 and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

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