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Knime Developer Jobs in Missouri (NOW HIRING)

micro1 AI

Bioinformatics Software Engineer

Columbia, MO · 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

See Missouri salary details

$16

$49

$76

How much do knime developer jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for knime developer in Missouri is $49.56, according to ZipRecruiter salary data. Most workers in this role earn between $37.88 and $60.67 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 Missouri?

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

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

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

Knime Developer jobs near you
Infographic showing various Knime Developer job openings in Missouri as of August 2026, with employment types broken down into 100% Full Time. Highlights an 93% In-person, and 7% Hybrid job distribution, with an average salary of $103,091 per year, or $49.6 per hour.

Technical Product Manager, Chemistry IT Systems

Jobtailor

California, MO • On-site

$120 - $180/hr

Other

Posted 6 days ago

Job description

  • Contribute to global delivery of cheminformatics and broader discovery informatics platforms for the Innovative Medicine research organization
  • Define, evaluate, implement, and champion data-driven and scientific IT approaches across discovery sciences globally
  • Identify opportunities to modernize chemistry-centric decision-making through advanced digital capabilities
  • Lead and support portfolio strategy by identifying gaps, overlaps, retirement opportunities, and performance improvements
  • Define project goals, manage risks and budgets, and ensure measurable impact through execution and post-project evaluations
  • Evaluate business processes, identify requirements, and develop change strategies to improve information systems and stakeholder outcomes
  • Support global deployment of AI and machine learning capabilities for molecular invention, AI-enabled search, agent capabilities, workflow automation, and alert-based notifications
  • Apply data governance, data quality, data integration, and lifecycle management principles
  • Support technology adoption and change management across teams and organizational levels
  • Lead cross-site, multidisciplinary projects with internal and external partners
  • Promote team engagement and communication between researchers, developers, and engineers
Requirements
  • Bachelor’s degree required, preferably in Chemistry or a relevant life science or data science field
  • Graduate degree preferred
  • 5+ years in pharmaceutical R&D molecular discovery
  • Strong exposure to small molecule, peptide, and large molecule chemistry research
  • Experience partnering with scientific stakeholders, technology teams, and cross-functional partners to define requirements and deliver informatics or scientific IT solutions
  • Database management knowledge sufficient to engage with cheminformatics teams, architects, and external vendors across multiple applications
  • Strong technical expertise supporting solution design and implementation
  • Experience with pipelining applications such as KNIME or Pipeline Pilot
  • Experience with commercial chemistry software such as Schrödinger, BIOVIA, Revvity, OpenEye, ChemAxon, or similar platforms
  • Experience with open-source chemistry or cheminformatics applications such as RDKit or Oligokit
  • Experience with data visualization and analytics tools such as Spotfire
  • Knowledge of data warehouses and ETL
Core Competencies

Demonstrates expertise in cheminformatics and discovery informatics, with a strong focus on data-driven IT approaches, project management, and cross-functional collaboration. Proficient in implementing AI and machine learning capabilities to enhance molecular invention and decision-making processes.

Highest-signal resume keywords
  • Cheminformatics Expertise
  • Project Management
  • AI And Machine Learning Implementation
  • Database Management
  • Cross-Functional Collaboration
ATS Optimization KeywordsHard Skills
  • Data Governance
  • Data Quality
  • Data Integration
  • Lifecycle Management
  • Pipelining Applications
  • Commercial Chemistry Software
  • Open-Source Chemistry Applications
  • Data Visualization
  • Analytics Tools
  • ETL Knowledge
Soft Skills
  • Team Engagement
  • Communication
Industry Keywords
  • Pharmaceutical R&D
  • Molecular Discovery
  • Chemistry Research
  • Scientific IT Solutions
  • Stakeholder Engagement
Tools & Technologies
  • KNIME
  • Pipeline Pilot
  • Schrödinger
  • BIOVIA
  • Revvity
  • OpenEye
  • ChemAxon
  • RDKit
  • Oligokit
  • Spotfire
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