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Lab Data Analyst Jobs in Indiana (NOW HIRING)

ClinLab Solutions Group

IN · On-site

$61 - $78.25/hr

... lab software integration via APIs. * Develop data visualization and applications in Python ... Collaborate with business analysts, scientists, and AI engineers to develop and deploy machine ...

Dhvaj

Lab Technician / Lab Assistant

Jeffersonville, IN

$18.25 - $24.25/hr

... data to guide patient care. Key Responsibilities * Perform routine and moderate complexity ... Analyze and report accurate test results in a timely manner * Operate, maintain, and troubleshoot ...

Dhvaj

Lab Technician / Lab Assistant

Jeffersonville, IN · On-site

$22 - $25/hr

... data to guide patient care. Key Responsibilities * Perform routine and moderate complexity ... Analyze and report accurate test results in a timely manner * Operate, maintain, and troubleshoot ...

CYNET SYSTEMS

Lab Assistant I

Indianapolis, IN · On-site

$18/hr

Prepare specimens for testing and analysis. * Scan and/or data entry of specimen and patient information. * Ensure all lab equipment is working properly and perform minor instrumentation maintenance.

New

Intellectt INC

QC Analyst

Lebanon, IN · On-site

$23 - $31/hr

Ensure smooth LIMS operations, data integrity, and lab documentation compliance. Key ... Strong analytical and problem-solving skills * Bachelor's degree preferred Thanks & Regards ...

Actalent

Lab Technician

Franklin, IN

$21.11/hr

Perform inspection and analysis of raw materials and chemical products to assure adherence to ... Maintain accurate records and data for company reports. * Communicate effectively with supervisors ...

McCormick & Company

LAB TECH I

South Bend, IN · On-site

$18.50 - $24.75/hr

Use computer for data entry and analysis. * Maintain work and storage areas in clean and orderly ... One year lab experience and/or high school chemistry preferred. Started college level Chemistry ...

New

MetalX LLC

Lab Technician

Auburn, IN · On-site

$17/hr

Position Overview The Lab Technician is responsible for prepping, testing, and recording data for ... Calibrate all testing equipment including scales, Spectrometer, and handheld analyzers * Maintain a ...

McCormick & Company

LAB TECH I

South Bend, IN

$18.50 - $24.75/hr

Use computer for data entry and analysis. * Maintain work and storage areas in clean and orderly ... One year lab experience and/or high school chemistry preferred. Started college level Chemistry ...

New

Actalent

Lab Technician

Franklin, IN

$21.11/hr

Perform inspection and analysis of raw materials and chemical products to assure adherence to ... Maintain accurate records and data for company reports. * Communicate effectively with supervisors ...

Sun Chemical

Lab Tech

Valparaiso, IN · On-site

$23.55/hr

Duties include sampling, testing, measuring, and analyzing results related to raw materials, in ... Perform laboratory tests in order to produce reliable and precise data in all test systems that ...

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All JobsLab Data Analyst JobsLab Data Analyst Jobs in Indiana

Lab Data Analyst information

See Indiana salary details

$10

$26

$45

How much do lab data analyst jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for lab data analyst in Indiana is $26.15, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $31.11 per hour, depending on experience, location, and employer.

What does a laboratory analyst do?

A laboratory analyst conducts tests and analyzes samples to ensure quality, safety, and compliance with standards. They use laboratory equipment, follow protocols, and document results accurately, often working with chemicals, biological materials, or materials testing tools.

Is a data analyst a high paid job?

Data analysts, including lab data analysts, typically earn competitive salaries that vary by experience, industry, and location. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries can increase significantly with experience and certifications. Overall, data analysis is considered a well-paying profession within the data and science fields.

What is the role of a lab data analyst?

A lab data analyst is responsible for collecting, processing, and analyzing data generated from laboratory experiments and tests. They ensure data accuracy, interpret results, and often use software tools like Excel or specialized statistical programs to support research and quality control efforts.

What does a Lab Data Analyst do?

A Lab Data Analyst is responsible for collecting, processing, and analyzing data generated in a laboratory setting. They ensure data accuracy, interpret results, and generate reports to support research, quality control, or regulatory compliance. Their role often involves working with lab instruments, databases, and statistical software to identify trends and insights. Additionally, they collaborate with scientists, engineers, and other professionals to improve processes and ensure data integrity.

What does a typical workday look like for a Lab Data Analyst?

A typical day for a Lab Data Analyst involves collecting, processing, and analyzing laboratory data to ensure accuracy and compliance with quality standards. You'll collaborate closely with laboratory technicians and scientists to interpret results, generate reports, and provide data-driven insights for ongoing projects or research. Most of your time will be spent working with digital data systems and reviewing results, but you may also be involved in troubleshooting data discrepancies or optimizing data workflows. The role is dynamic and often requires balancing multiple tasks, such as participating in team meetings, documenting findings, and supporting process improvements.

Is 40 too late for data science?

For a Lab Data Analyst or similar data-related roles, starting a career at 40 is not too late. Many employers value experience, analytical skills, and proficiency with tools like Excel, SQL, or Python, which can be developed at any age. Continuous learning and relevant certifications can enhance job prospects regardless of age.

What are the key skills and qualifications needed to thrive in the Lab Data Analyst position, and why are they important?

To thrive as a Lab Data Analyst, you need strong analytical skills, attention to detail, and a degree in a relevant field such as biology, chemistry, or data science. Familiarity with laboratory information management systems (LIMS), statistical analysis software, and data visualization tools like Excel or Tableau is typically required, and certifications in data analysis are a plus. Excellent problem-solving abilities, communication skills, and the capacity to work collaboratively with scientists and technicians will help you stand out. These competencies ensure accurate data interpretation, effective reporting, and successful teamwork within laboratory environments.

What are popular job titles related to Lab Data Analyst jobs in Indiana? For Lab Data Analyst jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Lab Data Analyst jobs in Indiana look for? The top searched job categories for Lab Data Analyst jobs in Indiana are:
Lab Data Analyst jobs near you
Infographic showing various Lab Data Analyst job openings in Indiana as of June 2026, with employment types broken down into 2% Internship, 2% As Needed, 68% Full Time, 4% Part Time, and 24% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $54,397 per year, or $26.2 per hour.

Scientific Data Architect

ClinLab Solutions Group

IN • On-site

$61 - $78.25/hr

Other

Posted 15 days ago

Job description

Job Title: Scientific Data Architect

Work Location: Marion County, Indiana


DOES OFFER RELOCATION



Summary:

Seeking a Scientific Data Architect to drive the design and implementation of advanced scientific data solutions. This role focuses on transforming complex scientific data into actionable insights, collaborating with cross-functional teams, and leveraging AI/ML methodologies to accelerate scientific outcomes. The ideal candidate is a proactive problem-solver with deep experience in life sciences, data modeling, and cloud-based product development.

Responsibilities:

  • Engage directly with scientific stakeholders to understand data challenges and requirements, building strong relationships and accelerating tailored solutions.
  • Design and implement scalable, reusable data models to efficiently organize scientific data for diverse use cases.
  • Translate scientific workflows into robust, cloud-based solutions using advanced data platforms and tools.
  • Prototype and implement solutions including data model design (tabular & JSON), Python-based parser development, and lab software integration via APIs.
  • Develop data visualization and applications in Python, utilizing frameworks such as Streamlit and plotting tools like holoviews and Plotly.
  • Collaborate with business analysts, scientists, and AI engineers to develop and deploy machine learning, AI, mechanistic, statistical, and hybrid models.
  • Iterate dynamically with end users and technical stakeholders, driving solution adoption through regular demos, meetings, and proactive communication.
  • Rapidly learn and apply new technologies to troubleshoot and develop scientific use cases, while contributing to product roadmap prioritization based on user feedback.

Qualifications:

  • PhD with 7+ years or Master’s with 10+ years of industry experience in life sciences, with extensive domain knowledge in drug discovery, preclinical development, CMC, or product quality testing.
  • Proven experience defining, designing, prototyping, and implementing AI/ML-driven use cases in cloud environments.
  • Strong background collaborating with cross-functional teams, including product managers, engineers, and scientific stakeholders.
  • Expertise in exploratory data analysis and workflow optimization to enable novel scientific outcomes.
  • Excellent communication and storytelling skills, with the ability to engage audiences ranging from scientists to executive stakeholders.
  • Consulting experience advising scientists to advance research, development, and quality testing outcomes.
  • Hands-on experience with Python, data modeling (tabular & JSON), API integration, and scientific application development.
  • Demonstrated ability to rapidly learn new tools, technologies, and scientific domains.
  • Strong ownership mentality and a track record of building extensible data models and applications for scientific end users.

Apply