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Entry Level Python Data Analysis Jobs in Chattanooga, TN

Solenis LLC

Quality Control Technician

Charleston, TN · On-site

$15.50 - $20/hr

Record laboratory analysis data accurately and in a timely manner. * Support daily operation of ... * Entry-level candidates with relevant technical education, internships, or laboratory coursework ...

Solenis

Quality Control Technician

Charleston, TN · On-site

$15.50 - $20/hr

Record laboratory analysis data accurately and in a timely manner. * Support daily operation of ... * Entry-level candidates with relevant technical education, internships, or laboratory coursework ...

Solenis

Quality Control Technician

Charleston, TN · On-site

$15.50 - $20/hr

Record laboratory analysis data accurately and in a timely manner. * Support daily operation of ... * Entry-level candidates with relevant technical education, internships, or laboratory coursework ...

Varsity Tutors

Machine Learning Tutor

Chattanooga, TN · 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 ...

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Entry Level Python Data Analysis information

See Chattanooga, TN salary details

$12

$29

$56

How much do entry level python data analysis jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for entry level python data analysis in Chattanooga, TN is $29.98, according to ZipRecruiter salary data. Most workers in this role earn between $19.28 and $33.51 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Python Data Analysis vs Data Analyst?

AspectEntry Level Python Data AnalysisData Analyst
Required SkillsPython, SQL, basic statistics, data visualizationExcel, SQL, statistics, data visualization
CertificationsPython programming, data analysis coursesExcel, Tableau, SQL certifications
Work EnvironmentTech companies, startups, data-driven teamsBusiness, finance, healthcare sectors
Typical TasksData cleaning, scripting in Python, creating dashboardsData reporting, analysis, presenting insights

Entry Level Python Data Analysis focuses on using Python for data manipulation and visualization, often requiring programming skills. Data Analysts may use a broader set of tools like Excel and Tableau but also perform similar data interpretation tasks. Both roles are entry-level positions in data teams, but Python skills give an edge in automation and handling larger datasets.

What are the most commonly searched types of Python Data Analysis jobs in Chattanooga, TN?

The most popular types of Python Data Analysis jobs in Chattanooga, TN are:

What are popular job titles related to Entry Level Python Data Analysis jobs in Chattanooga, TN?

For Entry Level Python Data Analysis jobs in Chattanooga, TN, the most frequently searched job titles are:

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The top searched job categories for Entry Level Python Data Analysis jobs in Chattanooga, TN are:

What cities near Chattanooga, TN are hiring for Entry Level Python Data Analysis jobs?

Cities near Chattanooga, TN with the most Entry Level Python Data Analysis job openings:

Entry Level Python Data Analysis jobs near you
Infographic showing various Entry Level Python Data Analysis job openings in Chattanooga, TN as of June 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 100% In-person job distribution, with an average salary of $62,360 per year, or $30 per hour.

AI Training Specialist - Cheminformatics

micro1 AI

Chattanooga, TN • Remote

$80 - $110/hr

Part-time

Posted 19 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.

Apply