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Trace Evidence Jobs in Indiana (NOW HIRING)

Trace Evidence information

See Indiana salary details

$28.5K

$61.1K

$115.1K

How much do trace evidence jobs pay per year?

As of Aug 6, 2026, the average yearly pay for trace evidence in Indiana is $61,075.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,900.00 and $68,000.00 per year, depending on experience, location, and employer.

How much does a trace evidence examiner make?

A trace evidence examiner typically earns between $40,000 and $70,000 annually, depending on experience, education, and location. They analyze small physical evidence samples using microscopes and chemical tests in forensic laboratories, often requiring specialized training and certifications.

What do trace evidence analysts do?

Trace evidence analysts examine small physical evidence such as fibers, hair, glass, and soil collected from crime scenes. They use microscopes, chemical tests, and other laboratory techniques to identify and compare evidence, helping to establish links between suspects, victims, and crime scenes. Their work often requires attention to detail, analytical skills, and knowledge of forensic science protocols.

What are the key skills and qualifications needed to thrive in the trace evidence position, and why are they important?

To thrive as a Trace Evidence Examiner, you need a strong background in forensic science, chemistry, or a related field, usually supported by a relevant degree and laboratory experience. Familiarity with analytical instruments such as microscopes, gas chromatographs, and mass spectrometers, as well as certifications from organizations like the American Board of Criminalistics, are frequently important. Exceptional attention to detail, analytical thinking, and clear written and verbal communication skills distinguish top professionals in this field. These competencies are vital for ensuring accurate evidence analysis, supporting investigations, and delivering credible testimony in legal proceedings.

What is a trace evidence?

A Trace Evidence job involves the collection, analysis, and interpretation of small materials transferred during crimes, such as fibers, hairs, paint, glass, and gunshot residue. Professionals in this field work in forensic laboratories to examine evidence under microscopes and use specialized techniques like spectroscopy and chromatography. Their findings help law enforcement link suspects, victims, and crime scenes, providing crucial support in criminal investigations and legal proceedings.

How to become a trace evidence examiner?

To become a trace evidence examiner, typically one needs a bachelor's degree in forensic science, chemistry, or a related field, along with specialized training in forensic analysis and evidence collection. Certification from organizations like the American Board of Criminalistics can enhance job prospects, and experience with laboratory tools such as microscopes and chemical analysis equipment is important.

What are some common challenges faced by trace evidence examiners in their daily work?

Trace Evidence Examiners often deal with minute and easily contaminated samples, which require meticulous handling and extreme care during analysis. Working under tight deadlines while maintaining the chain of custody and adhering to rigorous quality standards can be demanding. Teamwork is essential, as examiners frequently collaborate with law enforcement, attorneys, and other forensic specialists to interpret findings and support investigations. Remaining current with advances in technology and best practices is also key to success in this ever-evolving field.

What are popular job titles related to Trace Evidence jobs in Indiana? For Trace Evidence jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Trace Evidence jobs in Indiana look for? The top searched job categories for Trace Evidence jobs in Indiana are:
Infographic showing various Trace Evidence job openings in Indiana as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $61,075 per year, or $29.4 per hour.

Assistant Research Professor, Lucy Family Institute for Data & Society

University of Notre Dame

Notre Dame, IN • On-site

Full-time

Posted 7 days ago


University Of Notre Dame rating

7.4

Company rating: 7.4 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

335th of 615 rated colleges and universities


Job description

Description
The Lucy Family Institute for Data & Society at the University of Notre Dame seeks an assistant-level research professor (non tenure-track). We prefer candidates with strong expertise in advanced causal inference and computational social science methods including econometric modeling of observational data, survey design, randomized control trials and digital experiments, machine learning (ML) to construct ML-based regressors, and causal ML. The faculty member will be part of a new digital engagement for learning analytics research group within Lucy. As such, research experience with digital engagement measurement, online gaming analytics, and AI-enabled policy impact analysis will be beneficial. Given the policy-oriented learning translation analytics aspect of some of the research, ideal candidates will also have a robust track record of teaching excellence demonstrated through multiple years and sections of lead-instructor course delivery (with high teaching evaluations). The research faculty will be working closely with Professors Ahmed Abbasi (Director of the Institute), Rick Johnson (Associate Director of the Institute), and Sugana Chawla (Data Science Education Program Director).
The ideal candidate would have evidence of excellence in research and scholarship. The ideal candidate would have also demonstrated an interest in interdisciplinary work, as evidenced through projects or research publications.
Expectations
  • Help establish a research program for robust measurement and causal inference in digital settings including but not limited to online video games.
  • Publish in top venues, and/or pipeline evidence such as revise-and-resubmits at top academic journals (e.g., UTD-24, Economics, Science/Nature/PNAS, etc.);
  • Pursue interdisciplinary research by building collaborations;
  • Mentor or co-mentor graduate and undergraduate students;
  • Lead and collaborate on research grants;
  • Teach / co-teach courses on related topics;

Qualifications
  • Requires a PhD in with methodological expertise in causal inference via econometric modeling, machine learning, analysis of digital trace and survey data, and experiment design.
  • Research experience (projects, papers) related to digital engagement, online gaming telemetry data, and analysis of policy impact and implications, with a track record of experience beyond doctoral studies in the domain.
  • Strong demonstrated teaching skills.

Application Instructions
Please submit a CV, a research statement, teaching statement, and three confidential letters of recommendation via Interfolio.

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