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Knime Developer Jobs in Alabama (NOW HIRING)

micro1 AI

Bioinformatics Software Engineer

Mobile, AL · 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

Huntsville, AL · 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

Montgomery, AL · 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

Tuscaloosa, AL · 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

Birmingham, AL · 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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All JobsKnime Developer JobsKnime Developer Jobs in Alabama

Knime Developer information

See Alabama salary details

$15

$47

$74

How much do knime developer jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for knime developer in Alabama is $47.89, according to ZipRecruiter salary data. Most workers in this role earn between $36.59 and $58.61 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.

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 to optimize data workflows and decision-making processes.

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.

What kind of jobs use Knime Developer?

A Knime Developer is typically employed in data analysis, data science, and business intelligence roles that require building and maintaining data workflows using the Knime platform. These jobs often involve data integration, automation, and analytics tasks, and may require knowledge of programming languages like Python or R, as well as data management skills.

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 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 popular job titles related to Knime Developer jobs in Alabama? For Knime Developer jobs in Alabama, the most frequently searched job titles are:
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What cities in Alabama are hiring for Knime Developer jobs? Cities in Alabama with the most Knime Developer job openings:
Knime Developer jobs near you
Infographic showing various Knime Developer job openings in Alabama 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 $99,616 per year, or $47.9 per hour.

Bioinformatics Software Engineer

micro1 AI

Mobile, AL • Remote

$80 - $110/hr

Part-time

Posted 10 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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