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Remote Data Visualization Engineer Jobs in Arkansas

USAble Life

Senior or Lead BI Developer

Little Rock, AR · Remote

$115K - $173K/yr

This is a remote position. Life Takes You Places! Are you ready to join us? Pay Transparency: The ... Candidates without strong SQL, dashboard/report development, ETL/ELT, data warehousing, and ...

Avery Dennison

Digital Test Engineer

Little Rock, AR · On-site +1

$75K - $110K/yr

... data integrity. This is a hybrid position for employees within 40 miles of a Vestcom lovcation ... Otherwise, this is a remote position. Core responsibilities include: * Execute hands-on manual and ...

New

Avery Dennison

Digital Test Engineer

Little Rock, AR · On-site +1

$75K - $110K/yr

... data integrity. This is a hybrid position for employees within 40 miles of a Vestcom lovcation ... Otherwise, this is a remote position. Core responsibilities include: * Execute hands-on manual and ...

New

TERRACON

Senior Industrial Wastewater Engineer

Little Rock, AR · On-site +1

$41 - $56/hr

Nationwide | Remote or Hybrid Eligible Terracon Consultants Inc., an employee-owned engineering ... Data analysis and evaluation * Mass balance and process loading calculations * Treatment technology ...

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Remote Data Visualization Engineer information

What is the difference between Remote Data Visualization Engineer vs Data Analyst?

AspectRemote Data Visualization EngineerData Analyst
Required SkillsData visualization tools, programming (Python, SQL), data storytellingData manipulation, statistical analysis, reporting
Work EnvironmentCollaborates with data teams, software developers, and designers remotelyWorks with business teams, often in office or remote settings
Industry UsageTech, finance, marketing, and product companiesBusiness, healthcare, finance, and research sectors

The Remote Data Visualization Engineer focuses on creating visual representations of data using specialized tools and programming, often working closely with development teams. Data Analysts primarily interpret data, perform statistical analysis, and generate reports. While both roles require data skills, visualization engineers emphasize technical visualization expertise, whereas analysts focus on data interpretation and insights.

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Digital Chemistry Specialist - Remote

micro1 AI

Little Rock, AR • Remote

$90 - $120/hr

Part-time

This job post has expired today. Applications are no longer accepted.

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.

Apply