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Data Interpretation Jobs Near Me

BCABA Tutor

Columbus, OH · Remote

$18 - $40/hr

Skilled at teaching behavior-analytic concept application, ethical scenario analysis, and data interpretation for BCABA examination. Guides students through identifying functions of behavior ...

Geologist II

Columbus, OH · On-site

$66K - $75K/yr

Prepare comprehensive geotechnical reports summarizing field investigations, laboratory results, data analysis, and interpretation, and provide recommendations for foundation design, slope stability ...

Prepare comprehensive geotechnical reports summarizing field investigations, laboratory results, data analysis, and interpretation, and provide recommendations for foundation design, slope stability ...

ACT Tutor

Columbus, OH · Remote

$18 - $40/hr

... Science (data interpretation, scientific investigation, conflicting viewpoints). Ability to explain section-specific timing strategies and composite score calculation for college admissions.

HSPT Math Tutor

Columbus, OH · Remote

$18 - $40/hr

Deep knowledge of HSPT Mathematics section content including arithmetic, algebra, geometry, measurement, data interpretation, and quantitative reasoning for eighth grade students seeking Catholic ...

Guides students through complex analogies, multi-step algebraic reasoning, geometric proof-based questions, data interpretation, and constructing a well-organized essay under time constraints.

Strong analytical and data interpretation skills, including proficiency in data analysis tools and platforms. Technical Proficiency: * Familiarity with marketing automation tools, A/B testing ...

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Data Interpretation information

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$46K

$165K

$243.5K

How much do data interpretation jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data interpretation in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What states have the most Data Interpretation jobs?

States with the most job openings for Data Interpretation jobs include:

What are the most commonly searched types of Data Interpretation jobs?

The most popular types of Data Interpretation jobs are:

A map of the United States highlighting the number of Data Interpretation job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Data Interpretation job openings in each state, with California having the most at 2 and Alaska the least at 0.

Digital Chemistry Specialist - Remote

micro1 AI

Columbus, OH • Remote

$90 - $120/hr

Part-time

Posted 18 days ago


Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative 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 complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.