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Part Time Remote Data Analyst Jobs in Houston, TX

micro1 AI

Cheminformatics Specialist - Remote

Conroe, TX · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

micro1 AI

Clinical Pharmacy Technicians

Pearland, TX · Remote

$70 - $80/hr

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... safety data analysis. * Expertise in reconciling aggregate safety data and identifying ...

micro1 AI

Pharmacovigilance Expert

Sugar Land, TX · Remote

$70 - $80/hr

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... safety data analysis. * Expertise in reconciling aggregate safety data and identifying ...

micro1 AI

Clinical Pharmacy Technicians

Sugar Land, TX · Remote

$70 - $80/hr

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... safety data analysis. * Expertise in reconciling aggregate safety data and identifying ...

micro1 AI

Pharmacovigilance Expert

Pearland, TX · Remote

$70 - $80/hr

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... safety data analysis. * Expertise in reconciling aggregate safety data and identifying ...

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Showing results 41-60

All JobsData Analyst JobsPart Time Remote Data Analyst JobsPart Time Remote Data Analyst Jobs in Houston, TX

Part Time Remote Data Analyst information

See Houston, TX salary details

$32.5K

$78.9K

$129.9K

How much do part time remote data analyst jobs pay per year?

As of Aug 14, 2026, the average yearly pay for part time remote data analyst in Houston, TX is $78,919.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,700.00 and $92,600.00 per year, depending on experience, location, and employer.

What are the most common challenges faced by part time remote data analysts, and how can I overcome them?

Part-time remote data analysts often encounter challenges related to time management, communication across different teams, and maintaining data security. Effectively prioritizing tasks and setting structured work hours can help ensure deadlines are met, even with a flexible schedule. It’s important to proactively communicate with managers and team members to stay aligned on project requirements and deliverables, making use of collaboration tools like Slack or Microsoft Teams. Staying organized and keeping up with data privacy protocols will also help you maintain the quality and integrity of your analysis while working remotely. Adopting these practices can make your remote work experience more productive and rewarding.

Is it still worth it to become a part time remote data analyst in 2026?

Part time remote data analyst roles remain valuable in 2026 due to ongoing demand for data-driven decision making across industries. Success in this role often requires proficiency in tools like Excel, SQL, and data visualization software, along with strong analytical skills. The position offers flexibility and opportunities for skill development, making it a worthwhile option for those interested in data analysis careers.

What is a part time remote data analyst?

A Part Time Remote Data Analyst collects, processes, and analyzes data to help businesses make informed decisions while working remotely and on a part-time schedule. Responsibilities often include cleaning datasets, creating reports, and identifying trends using statistical tools. This role is ideal for individuals who excel at data interpretation and want flexibility in their work hours. Common industries hiring for this position include finance, healthcare, e-commerce, and marketing. Strong skills in Excel, SQL, Python, or R are typically required.

What are the key skills and qualifications needed to thrive as a part time remote data analyst?

To thrive as a Part Time Remote Data Analyst, a strong foundation in data analysis, statistical methods, and attention to detail is essential, typically supported by a relevant degree or coursework in data science, statistics, or a related field. Proficiency with analytical tools such as Excel, SQL, Python, or business intelligence platforms, as well as familiarity with data visualization software and data privacy best practices, is generally expected. Strong communication, time management, and problem-solving abilities help remote analysts effectively interpret data, meet deadlines, and present actionable insights to stakeholders. These skills ensure accurate, insightful analysis and foster productive collaboration in virtual team environments.

What are the most commonly searched types of Remote Data Analyst jobs in Houston, TX?

The most popular types of Remote Data Analyst jobs in Houston, TX are:

What are popular job titles related to Part Time Remote Data Analyst jobs in Houston, TX?

For Part Time Remote Data Analyst jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Part Time Remote Data Analyst jobs in Houston, TX look for?

The top searched job categories for Part Time Remote Data Analyst jobs in Houston, TX are:

What cities near Houston, TX are hiring for Part Time Remote Data Analyst jobs?

Cities near Houston, TX with the most Part Time Remote Data Analyst job openings:

Part Time Remote Data Analyst jobs near you
Infographic showing various Part Time Remote Data Analyst job openings in Houston, TX as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution, with an average salary of $78,919 per year, or $37.9 per hour.

Cheminformatics Specialist - Remote

micro1 AI

Conroe, TX • Remote

$80 - $110/hr

Part-time

Posted 14 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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