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Part Time Remote Analytics Engineer Jobs in Dallas, TX

Aoka Engineering

Civil Plans Examiner

Fort Worth, TX · On-site +1

$40 - $50/hr

Remote Employment Type: Part-Time, As-Needed We are seeking an experienced civil engineering professional with a strong background in municipal plan review, site development, and floodplain ...

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All JobsAnalytics Engineer JobsPart Time Remote Analytics Engineer JobsPart Time Remote Analytics Engineer Jobs in Dallas, TX

Part Time Remote Analytics Engineer information

See Dallas, TX salary details

$45K

$92.2K

$134K

How much do part time remote analytics engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for part time remote analytics engineer in Dallas, TX is $92,176.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,200.00 and $116,700.00 per year, depending on experience, location, and employer.
What are popular job titles related to Part Time Remote Analytics Engineer jobs in Dallas, TX? For Part Time Remote Analytics Engineer jobs in Dallas, TX, the most frequently searched job titles are:
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Part Time Remote Analytics Engineer jobs near you
Infographic showing various Part Time Remote Analytics Engineer job openings in Dallas, TX as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $92,176 per year, or $44.3 per hour.

Digital Chemistry Specialist - Remote

micro1 AI

Allen, TX • Remote

$90 - $120/hr

Part-time

Posted 12 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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