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Remote Data Analytics Instructor Jobs in Lubbock, TX

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

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

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

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Showing results 21-40

Remote Data Analytics Instructor information

See Lubbock, TX salary details

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$47

$81

How much do remote data analytics instructor jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for remote data analytics instructor in Lubbock, TX is $47.01, according to ZipRecruiter salary data. Most workers in this role earn between $37.79 and $53.27 per hour, depending on experience, location, and employer.

What is the difference between Remote Data Analytics Instructor vs Remote Data Analyst?

AspectRemote Data Analytics InstructorRemote Data Analyst
Required CredentialsTypically a degree in data science, analytics, or related field; teaching certifications are a plusDegree in data science, statistics, or related field; often requires proficiency in analytics tools
Work EnvironmentOnline teaching platforms, educational institutions, corporate trainingRemote offices, companies, or consulting firms
Employer & Industry UsageEducational institutions, online course providers, corporate training programsBusinesses across industries, consulting firms, finance, healthcare, tech

While both roles involve data skills, a Remote Data Analytics Instructor focuses on teaching and curriculum development in educational settings, whereas a Remote Data Analyst applies data analysis techniques directly to business problems. The roles share similar credentials but differ mainly in their primary responsibilities and work environments.

What are the key skills and qualifications needed to thrive as a remote data analytics instructor?

To thrive as a Remote Data Analytics Instructor, you need a strong background in data analytics, statistics, and teaching, usually demonstrated by a relevant degree and industry experience. Familiarity with data analysis tools such as Excel, SQL, Python, R, and learning management systems (LMS) is essential, along with certifications like Tableau or Google Data Analytics. Excellent communication, patience, and the ability to engage and motivate remote learners are valuable soft skills in this role. These skills ensure effective instruction, student engagement, and successful learning outcomes in a virtual environment.

What are some common challenges faced by remote data analytics instructors, and how can they be effectively managed?

Remote Data Analytics Instructors often encounter challenges such as maintaining student engagement in a virtual setting, addressing diverse learning paces, and ensuring clear communication despite not being physically present. To manage these, instructors can leverage interactive teaching tools, schedule regular check-ins, and provide a variety of learning resources to accommodate different student needs. Building a supportive online community and encouraging active participation also help foster a collaborative and effective learning environment.

What does a remote data analytics instructor do?

A Remote Data Analytics Instructor teaches students data analysis concepts and tools through online platforms. They develop and deliver course materials, lead live or recorded lessons, and provide feedback on assignments. Instructors often cover topics like data visualization, statistical analysis, and using software such as Excel, Python, or SQL. Their goal is to help students gain practical skills for analyzing and interpreting data in real-world scenarios.

What job categories do people searching Remote Data Analytics Instructor jobs in Lubbock, TX look for?

The top searched job categories for Remote Data Analytics Instructor jobs in Lubbock, TX are:

What cities near Lubbock, TX are hiring for Remote Data Analytics Instructor jobs?

Cities near Lubbock, TX with the most Remote Data Analytics Instructor job openings:

Pharmacovigilance Expert

micro1 AI

Lubbock, TX • Remote

$70 - $80/hr

Part-time

Posted 10 days ago


Job description

Role Title: Pharmacovigilance Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety expertise on a key customer 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. This opportunity is ideal for professionals experienced in authoring and reviewing complex safety reports, passionate about data quality, and committed to clear written and verbal communication.


Scope of Work

  1. Author and review evaluation tasks based on DSURs, PSURs/PBRERs, and associated safety data and case-level records.
  2. Apply expert judgment to assess the accuracy and adequacy of interval safety findings, signal evaluations, and benefit-risk conclusions in alignment with best practices.
  3. Assess template and structural conformity to ICH E2F and ICH E2C requirements, including proper section content, presentation of cumulative versus interval data, and completeness of appendices.
  4. Reconcile figures and case counts across report sections and data sources, identifying and documenting discrepancies significant for regulatory review.
  5. Evaluate safety conclusions in light of new data or events, and provide clear, structured written rationales supporting your determinations.
  6. Deliver structured feedback to inform the development of AI-driven tools for pharmacovigilance documentation and analysis.


Preferred Qualifications

  1. 5+ years of pharmacovigilance or drug safety experience at a sponsor, CRO, or as an independent consultant.
  2. Demonstrated proficiency in authoring or reviewing DSURs and/or PSURs/PBRERs from start to finish.
  3. Working fluency with ICH E2F, ICH E2C(R2), and GVP guidelines, including signal management and benefit-risk assessment methodology.
  4. Hands-on experience with MedDRA coding, seriousness and causality assessment, expectedness determination, and aggregate safety data analysis.
  5. Expertise in reconciling aggregate safety data and identifying inconsistencies with case-level information.
  6. Advanced degree in life sciences, pharmacy, nursing, or medicine (PharmD, MD, MSc, or equivalent).
  7. Experience in both development-stage and post-marketing safety reporting, QPPV or deputy QPPV roles, safety committee participation, or AI-assisted safety review tools is a plus.