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Ai In Bioinformatics Jobs in Dallas, TX (NOW HIRING)

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Ai In Bioinformatics information

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How much do ai in bioinformatics jobs pay per year?

As of Aug 19, 2026, the average yearly pay for ai in bioinformatics in Dallas, TX is $93,457.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,800.00 and $128,100.00 per year, depending on experience, location, and employer.

What are popular job titles related to Ai In Bioinformatics jobs in Dallas, TX?

For Ai In Bioinformatics jobs in Dallas, TX, the most frequently searched job titles are:

Infographic showing various Ai In Bioinformatics job openings in Dallas, TX as of August 2026, with employment types broken down into 78% Full Time, 10% Part Time, and 12% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $93,457 per year, or $44.9 per hour.

AI Training Specialist - Life Sciences

micro1 AI

Richardson, TX • Remote

$90 - $120/hr

Part-time

Posted 22 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.