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Remote Data Analytics Instructor Jobs in St Louis, MO

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Geospatial Data Content Manager Mid

Arnold, MO · On-site +1

Develop and apply methods to identify, collect, process, and analyze large volumes of data to build ... Ability to use and contribute code to repositories, i.e., local, remote, and shared (e.g., Github ...

Cigna

Finance Product & Platform Lead

Saint Louis, MO · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Qualifications * 10+ years of experience in product management, data and analytics, digital ... Open to remote if not aligned to office location with a strong preference for East Coast. If you ...

New

Wood Plc

GIS Analyst - FEMA

Ballwin, MO · Remote

Perform GIS database development, qualitative/quantitative analysis, and mapping as a member of a ... programs for data collection, engineering, and environmental applications #LI-Remote Skills ...

Steris Corporation

Director, Engineering (Remote)

MO · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

Remote based role with up to 75% travel What You'll do as a Director, Engineering * Set priorities ... belt, statistical data analysis, etc. to confirm root causes of problems, and implement ...

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All JobsData Analytics Instructor JobsRemote Data Analytics Instructor JobsRemote Data Analytics Instructor Jobs in St. Louis, MO

Remote Data Analytics Instructor information

See St Louis, MO salary details

$23

$53

$91

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

As of Aug 16, 2026, the average hourly pay for remote data analytics instructor in St. Louis, MO is $53.23, according to ZipRecruiter salary data. Most workers in this role earn between $42.79 and $60.29 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 are popular job titles related to Remote Data Analytics Instructor jobs in St. Louis, MO?

For Remote Data Analytics Instructor jobs in St. Louis, MO, the most frequently searched job titles are:

What job categories do people searching Remote Data Analytics Instructor jobs in St. Louis, MO look for?

The top searched job categories for Remote Data Analytics Instructor jobs in St. Louis, MO are:

What cities near St. Louis, MO are hiring for Remote Data Analytics Instructor jobs?

Cities near St. Louis, MO with the most Remote Data Analytics Instructor job openings:

Remote Data Analytics Instructor jobs near you
Infographic showing various Remote Data Analytics Instructor job openings in St. Louis, MO as of June 2026, with employment types broken down into 5% Internship, 57% Full Time, 32% Part Time, and 6% Contract. Highlights an 100% Remote job distribution, with an average salary of $110,711 per year, or $53.2 per hour.

Cheminformatics Specialist - Remote

micro1 AI

Saint Louis, MO • Remote

$80 - $110/hr

Part-time

Posted 16 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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