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Knime Developer Jobs in Illinois (NOW HIRING)

micro1 AI

Bioinformatics Software Engineer

Aurora, IL · Remote

$80 - $110/hr

Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE. * Proven track record in small-molecule drug discovery, SAR/QSAR evaluation ...

micro1 AI

Bioinformatics Software Engineer

Chicago, IL · Remote

$80 - $110/hr

Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE. * Proven track record in small-molecule drug discovery, SAR/QSAR evaluation ...

micro1 AI

Bioinformatics Software Engineer

Joliet, IL · Remote

$80 - $110/hr

Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE. * Proven track record in small-molecule drug discovery, SAR/QSAR evaluation ...

micro1 AI

Bioinformatics Software Engineer

Peoria, IL · Remote

$80 - $110/hr

Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE. * Proven track record in small-molecule drug discovery, SAR/QSAR evaluation ...

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Knime Developer information

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How much do knime developer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for knime developer in Illinois is $51.20, according to ZipRecruiter salary data. Most workers in this role earn between $39.13 and $62.64 per hour, depending on experience, location, and employer.

What is a Knime developer?

A KNIME Developer is a professional skilled in using the KNIME Analytics Platform, an open-source software for data analytics, reporting, and integration. They design, build, and deploy data workflows to process, analyze, and visualize large datasets. KNIME Developers often work with data scientists, analysts, and business stakeholders to automate data tasks, create predictive models, and support data-driven decision-making. They may also integrate KNIME with other tools and databases to streamline data pipelines.

What are the key skills and qualifications needed to thrive as a Knime developer, and why are they important?

To thrive as a KNIME Developer, you need a strong background in data analytics, data engineering, and proficiency with ETL processes, typically supported by a degree in computer science or a related field. Familiarity with the KNIME Analytics Platform, workflow automation, and knowledge of scripting languages like Python or R are essential, and certifications in KNIME can be advantageous. Attention to detail, problem-solving abilities, and strong communication skills help you design efficient workflows and collaborate with stakeholders. These combined skills ensure effective data-driven solutions and seamless integration within diverse business environments.

What are some common challenges Knime developers face when integrating Knime workflows with external data sources and systems?

Knime Developers often encounter challenges such as ensuring compatibility between KNIME and various databases or APIs, managing data security during transfers, and handling differences in data schema or formats. Additionally, troubleshooting connectivity issues and optimizing workflow performance when dealing with large or complex datasets can be demanding. Collaborating with IT and data engineering teams is usually essential to ensure seamless data integration and to implement best practices for data governance and workflow automation.

What is the difference between Knime Developer vs Data Analyst?

AspectKnime DeveloperData Analyst
Required SkillsProficiency in KNIME, data integration, workflow automationData visualization, statistical analysis, Excel, SQL
CertificationsKNIME certifications, data management certificationsNone specific, often data analysis or business intelligence certifications
Work EnvironmentData science teams, analytics departments, project-basedBusiness units, reporting teams, analytics departments
Industry UsageData science, machine learning, automation projectsBusiness reporting, market research, operational analysis

While both roles work with data, a Knime Developer specializes in building data workflows and automation using KNIME software, focusing on data integration and machine learning. A Data Analyst primarily interprets data through visualization and statistical methods to support business decisions. The roles often overlap but differ in technical focus and tools used.

Is KNIME in demand?

KNIME developers are in demand due to the growing need for data analytics and automation skills across industries. Proficiency in KNIME, along with data science and machine learning knowledge, can enhance job prospects as organizations seek efficient data processing tools.

What kind of jobs use Knime Developer?

A Knime Developer is typically employed in data analysis, data science, and analytics roles where they design and implement data workflows using Knime software. These jobs often require skills in data manipulation, automation, and integration, and are common in industries such as finance, healthcare, and technology. Knime Developers may work in teams to optimize data processes and support decision-making through data-driven insights.

What are popular job titles related to Knime Developer jobs in Illinois?

For Knime Developer jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Knime Developer jobs in Illinois look for?

The top searched job categories for Knime Developer jobs in Illinois are:

What cities in Illinois are hiring for Knime Developer jobs?

Cities in Illinois with the most Knime Developer job openings:

Knime Developer jobs near you
Infographic showing various Knime Developer job openings in Illinois as of August 2026, with employment types broken down into 85% Full Time, 2% Part Time, and 13% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $106,500 per year, or $51.2 per hour.

Bioinformatics Software Engineer

micro1 AI

Aurora, IL • Remote

$80 - $110/hr

Part-time

Posted 18 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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