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Data Interpreter Jobs in Indiana (NOW HIRING)

Meta

Data Center Capacity Engineer

Jeffersonville, IN

$111K/yr

Lead data analytics, metrics, and the interpretation of a complex environment to identify inefficiencies, opportunities, exceptions, and correlations, and proactively respond before they impact data ...

IQVIA

Associate Principal Scientist

Indianapolis, IN · On-site +1

$80K - $167K/yr

  • Medical

  • Life

Serve as a scientific resource for complex data interpretation, assay development, and problem solving * Collaborate with project teams and interact with clients to discuss scientific principles and ...

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All JobsData Interpreter JobsData Interpreter Jobs in Indiana

Data Interpreter information

See Indiana salary details

$28.1K

$62.5K

$67.6K

How much do data interpreter jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data interpreter in Indiana is $62,533.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,700.00 and $65,700.00 per year, depending on experience, location, and employer.

What is a data interpreter?

A Data Interpreter is a professional who analyzes, translates, and explains complex data sets to help organizations make informed decisions. They bridge the gap between raw data and actionable insights by interpreting trends, patterns, and statistical information. Data Interpreters often work with data analysts and business leaders to present findings in a clear, understandable way, ensuring that data-driven recommendations are accessible to non-technical stakeholders. Their work is essential in industries like business, healthcare, and government where data-driven decisions are key.

What skills do you need for data interpretation?

Data interpreters need strong analytical skills to examine and understand data patterns, along with proficiency in data analysis tools like Excel, SQL, or statistical software. Critical thinking, attention to detail, and the ability to communicate findings clearly are also essential for effective data interpretation.

What are the key skills and qualifications needed to thrive as a data interpreter, and why are they important?

To thrive as a Data Interpreter, you need strong analytical abilities, statistical knowledge, and a background in mathematics, data science, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), spreadsheet software, and basic database querying (such as SQL) is commonly required. Excellent communication, attention to detail, and the ability to translate complex data into actionable insights are vital soft skills. These competencies are crucial for transforming raw data into meaningful information that supports informed business decisions.

How does a data interpreter typically collaborate with other departments within an organization?

Data Interpreters play a crucial role in bridging the gap between raw data and actionable business insights. They frequently collaborate with teams such as marketing, finance, and operations to understand their data needs and translate complex datasets into clear, meaningful reports. This often involves participating in cross-functional meetings, presenting findings, and ensuring that data-driven recommendations align with business goals. Effective communication and teamwork are essential, as Data Interpreters must tailor their analyses to different audiences and work closely with stakeholders to drive informed decision-making.
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What cities in Indiana are hiring for Data Interpreter jobs? Cities in Indiana with the most Data Interpreter job openings:
Data Interpreter jobs near you
Infographic showing various Data Interpreter job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $62,533 per year, or $30.1 per hour.

AI Training Specialist - Life Sciences

micro1 AI

South Bend, IN • Remote

$90 - $120/hr

Part-time

This job post has expired today. Applications are no longer accepted.

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.

Apply