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Weekend Python Data Analyst Jobs in McAllen, TX (NOW HIRING)

micro1 AI

Biostatistician

Edinburg, TX · Remote

$60 - $100/hr

... analysis, regulatory submission reviews, and observational study assessments ... Source, construct, and curate authentic datasets including trial data, patient records, and ...

micro1 AI

Director of Biostatistics

Edinburg, TX · Remote

$60 - $100/hr

... analysis, regulatory submission reviews, and observational study assessments ... Source, construct, and curate authentic datasets including trial data, patient records, and ...

micro1 AI

Biostatistician

Mcallen, TX · Remote

$60 - $100/hr

... analysis, regulatory submission reviews, and observational study assessments ... Source, construct, and curate authentic datasets including trial data, patient records, and ...

micro1 AI

Director of Biostatistics

Mcallen, TX · Remote

$60 - $100/hr

... analysis, regulatory submission reviews, and observational study assessments ... Source, construct, and curate authentic datasets including trial data, patient records, and ...

Empower Behavioral Health

BCBA Clinical Director

Donna, TX · On-site

$69K - $85K/yr

... Applied Behavior Analysis (ABA) services to ensure that learners with autism and other ... No evenings or weekends * Medical, Dental, Vision benefits offered * 401K option available

Varsity Tutors

Machine Learning Tutor

Edinburg, TX · Remote

$18 - $40/hr

... analytics. * Curriculum Awareness & Adaptive Instruction: Familiar with machine learning curricula ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

Doggett Toyota Lift

Branch Manager

Pharr, TX

Provide insights and recommendations based on data analysis. 9. Community Engagement: * Represent ... A full-time position may require working on weekends and holidays. * Office environment with ...

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Showing results 41-60

All JobsPython Data Analyst JobsWeekend Python Data Analyst JobsWeekend Python Data Analyst Jobs in McAllen, TX

Weekend Python Data Analyst information

See McAllen, TX salary details

$32.3K

$78.5K

$129.2K

How much do weekend python data analyst jobs pay per year?

As of Aug 14, 2026, the average yearly pay for weekend 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.

What are some common challenges faced by Weekend Python Data Analysts, and how can they be managed?

Weekend Python Data Analysts often face challenges such as limited time to access stakeholders or full datasets, since many team members may not be available outside standard business hours. To manage these challenges, it’s important to communicate needs and data access requirements ahead of time, and to document findings thoroughly for seamless handovers. Being self-sufficient with Python tools and data wrangling is critical, as you may need to troubleshoot issues independently. Proactively setting clear goals for each shift can also help maximize productivity during weekend hours.

What is a Weekend Python Data Analyst?

Weekend Python Data Analysts are professionals who work part-time or on weekends to analyze data using Python programming. They typically handle tasks such as cleaning data, performing statistical analyses, creating data visualizations, and generating reports. These analysts often support organizations that require flexible staffing or have projects that need attention outside of regular business hours. Their expertise in Python enables them to efficiently manipulate large datasets and extract actionable insights. This role is ideal for those seeking flexible work arrangements or supplementary income in the data analytics field.

What are the key skills and qualifications needed to thrive as a Weekend Python Data Analyst?

To thrive as a Weekend Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a background in statistics or data science—often supported by a relevant degree or certification. Familiarity with data visualization tools (like Tableau or Power BI), SQL databases, and Python libraries such as Pandas and NumPy is typically expected. Excellent problem-solving, time management, and communication skills help you interpret data insights and present findings effectively during limited weekend hours. These skills ensure accurate data analysis, actionable recommendations, and efficient collaboration, even within a compressed work timeframe.

What is the difference between Weekend Python Data Analyst vs Weekend Data Scientist?

AspectWeekend Python Data AnalystWeekend Data Scientist
Required SkillsPython, data analysis, visualization, SQLPython, machine learning, statistical modeling, data analysis
CertificationsData analysis certifications, Python certificationsData science certifications, Python certifications
Work EnvironmentPart-time, project-based, remote or on-sitePart-time, project-based, remote or on-site
Industry UsageBusiness analytics, finance, marketingResearch, AI development, advanced analytics

Weekend Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for business insights. Weekend Data Scientists handle more complex modeling and machine learning tasks, often requiring advanced statistical skills. Both roles are part-time, flexible, and commonly used across industries, but Data Scientists typically require a deeper technical background.

What are the most commonly searched types of Python Data Analyst jobs in McAllen, TX?

The most popular types of Python Data Analyst jobs in McAllen, TX are:

Weekend Python Data Analyst jobs near you

AI Training Specialist - Cheminformatics

micro1 AI

Edinburg, TX • Remote

$80 - $110/hr

Part-time

Posted 11 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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