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Knime Developer Jobs in Pennsylvania (NOW HIRING)

micro1 AI

Bioinformatics Software Engineer

Allentown, PA · 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

Pittsburgh, PA · 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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$17

$52

$81

How much do knime developer jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for knime developer in Pennsylvania is $52.97, according to ZipRecruiter salary data. Most workers in this role earn between $40.48 and $64.81 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 Pennsylvania?

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

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

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

Knime Developer jobs near you
Infographic showing various Knime Developer job openings in Pennsylvania as of August 2026, with employment types broken down into 77% Full Time, 10% Part Time, and 13% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $110,169 per year, or $53 per hour.

AI Training Specialist - Life Sciences

micro1 AI

Philadelphia, PA • Remote

$90 - $120/hr

Part-time

Posted 21 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.

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