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Day Shift Python Data Analyst Jobs in McAllen, TX

DHR Health

LIS Analyst II, -FT-Days-Lab

Edinburg, TX · On-site

TX:Edinburg - Days Summary: EMPLOYEE'S FULL NAME: _____ FLSA STATUS: ☒ Exempt ☐ Non-Exempt ... Interfaces; Data Retrieval & Preservation; System Maintenance; Auto-verification; and System ...

DHR Health

LIS Analyst II, -FT-Days-Lab

Edinburg, TX · On-site

Data Retrieval & Preservation; System Maintenance; Auto-verification; and System Security. * Plans and directs the development, implementation and modification of information storage and retrieval ...

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All JobsDay Shift Python Data Analyst JobsDay Shift Python Data Analyst Jobs in McAllen, TX

Day Shift Python Data Analyst information

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$32.3K

$78.5K

$129.2K

How much do day shift python data analyst jobs pay per year?

As of Sep 15, 2026, the average yearly pay for day shift python data analyst in McAllen, TX is $78,510.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,400.00 and $92,200.00 per year, depending on experience, location, and employer.

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Day Shift Python Data Analyst jobs near you
Infographic showing various Day Shift Python Data Analyst job openings in McAllen, TX as of June 2026, with employment types broken down into 1% As Needed, 88% Full Time, 5% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $78,510 per year, or $37.7 per hour.

AI Training Specialist - Life Sciences

Mcallen, TX • Remote

micro1 AI
Software Development • 11 - 50 employees
Learn more about micro1 AIexternal

$90 - $120/hr

Part-time

Re-posted 19 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.

Apply