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Entry Level Computer Forensics Analyst Jobs in Frederick, MD

Oshkosh Corporation

Category Associate

Hagerstown, MD

$57K - $90K/yr

The Category Associate role is an entry level support position for the supply chain category ... Knowledge of data analytics tools and data analytics in a specific commodity/category. * Critical ...

Oshkosh Corporation

Category Associate

Hagerstown, MD · On-site

$57K - $90K/yr

The Category Associate role is an entry level support position for the supply chain category ... Knowledge of data analytics tools and data analytics in a specific commodity/category. * Critical ...

GeneDx

Lab Technician

Gaithersburg, MD

$20.50 - $27.25/hr

Summary The Lab Technician for OneLab, performs an entry level role in the testing of clinical DNA ... Mathematical, computer, reasoning, and language skills at the professional level. Physical Demands

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Showing results 21-40

All JobsComputer Forensics Analyst JobsEntry Level Computer Forensics Analyst JobsEntry Level Computer Forensics Analyst Jobs in Frederick, MD

Entry Level Computer Forensics Analyst information

See Frederick, MD salary details

$64.6K

$101.1K

$155.1K

How much do entry level computer forensics analyst jobs pay per year?

As of Aug 9, 2026, the average yearly pay for entry level computer forensics analyst in Frederick, MD is $101,089.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,600.00 and $121,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an entry level computer forensics analyst, and why are they important?

To thrive as an Entry Level Computer Forensics Analyst, you need a foundational understanding of computer science, digital investigation methods, and a relevant degree or certification such as CompTIA Security+ or GIAC Certified Forensic Analyst (GCFA). Familiarity with forensic tools like EnCase, FTK, and knowledge of operating systems and file systems is typically required. Attention to detail, analytical thinking, and strong written communication skills help set candidates apart in this field. These competencies are vital for accurately collecting, analyzing, and reporting digital evidence to support investigations and ensure data integrity.

What is the difference between Entry Level Computer Forensics Analyst vs Digital Forensics Technician?

AspectEntry Level Computer Forensics AnalystDigital Forensics Technician
CertificationsCertifications like GCFA, EnCE often preferredSimilar certifications, often the same or less advanced
Work EnvironmentInvestigations, law enforcement, cybersecurity firmsLaw enforcement agencies, private labs, corporate security
Job FocusAnalyzing digital evidence, reporting findingsCollecting, imaging, and processing digital evidence
Search IntentUnderstanding entry-level roles in digital forensicsEntry-level digital evidence collection roles

Both roles involve digital evidence handling, but the Entry Level Computer Forensics Analyst focuses more on analysis and reporting, while the Digital Forensics Technician emphasizes evidence collection and imaging. The roles often overlap in certifications and work environments, making them closely related entry points into digital forensics careers.

What are some common challenges faced by entry level computer forensics analysts during investigations?

Entry-level computer forensics analysts often encounter challenges such as handling large volumes of data, ensuring the integrity and chain of custody of digital evidence, and keeping up with rapidly evolving technologies and cyber threats. Additionally, they may need to navigate strict legal and procedural guidelines while working under time constraints. Collaborating effectively with law enforcement, legal teams, and more experienced colleagues is crucial for overcoming these obstacles and successfully supporting investigations.

What does an entry level computer forensics analyst do?

An Entry Level Computer Forensics Analyst assists in investigating cybercrimes by identifying, collecting, and analyzing digital evidence from computers, mobile devices, and networks. Their work supports law enforcement or private sector investigations into incidents such as data breaches, hacking, or fraud. They use specialized software and follow strict protocols to preserve the integrity of the evidence for potential legal proceedings. Entry level analysts often work under the supervision of more experienced professionals while gaining hands-on experience.
What are the most commonly searched types of Computer Forensics Analyst jobs in Frederick, MD? The most popular types of Computer Forensics Analyst jobs in Frederick, MD are:
What cities near Frederick, MD are hiring for Entry Level Computer Forensics Analyst jobs? Cities near Frederick, MD with the most Entry Level Computer Forensics Analyst job openings:
Entry Level Computer Forensics Analyst jobs near you
Infographic showing various Entry Level Computer Forensics Analyst job openings in Frederick, MD as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $101,089 per year, or $48.6 per hour.

NIST PREP Research Associate in Statistical Software Development for the Illicit Drug Landscape

Southeastern Universities Research Association

Gaithersburg, MD • On-site

$85K/yr

Full-time

Re-posted 9 days ago

Job description

This position is part of the National Institute of Standards and Technology (NIST) Professional Research Experience Program (PREP). NIST recognizes that its research staff may want to collaborate with researchers at academic institutions on specific projects of mutual interest and, therefore, requires those institutions to be recipients of a PREP award. The PREP program involves staff from a wide range of backgrounds conducting scientific research across various fields. Individuals in this position will perform technical work supporting the collaboration's scientific research.
Research Position: Statistical Software Development for the Illicit Drug Landscape
Position Overview: This position supports an ongoing, interdisciplinary effort within the National Institute of Standards and Technology (NIST) to gain insights from data collected as part of the Rapid Drug Analysis and Research (RaDAR) program. NIST collaborates with public health and public safety stakeholders across the U.S. to analyze real-time data regarding the chemical makeup of illicit drugs. Because this landscape is opaque and rapidly evolving, the team is developing novel statistical and computational tools to model usage patterns, detect emerging trends, and surface analytical insights for stakeholders.
The successful candidate will focus primarily on software development for data science and statistical applications, with an emphasis on building and maintaining an interactive R Shiny web application (or similar tooling) that enables analysts and external stakeholders to explore and answer their own questions about drug compound data. The role also includes contributing to the implementation of statistical methods for projects that arise, such as detecting previously unobserved compounds and emerging trends. This is well-suited to a master's-level scientist who enjoys translating statistical and scientific requirements into robust, usable software.
Citizenship: U.S. Citizenship Preferred
Key Responsibilities
  • Dashboard Development: Design, build, and maintain a production-quality R Shiny application that allows non-statistical users to interactively query, visualize, and interpret high-dimensional drug compound data. Translate stakeholder analysis questions into reusable interface components and workflows.
  • Software Engineering Practices: Develop modular, well-documented, and maintainable R code. Implement reactive data pipelines that remain performant on large, frequently updated datasets.
  • Method Implementation: Collaborate with statisticians to implement and operationalize analysis methods-including approaches for detecting emerging or previously unobserved compounds-as tested, reusable functions and dashboard features.
  • Data Analysis & Visualization: Conduct exploratory data analysis, data provenance and quality evaluation, and create publication- and presentation-quality visualizations (e.g., ggplot2, plotly) to support both the dashboard and team research.
  • Collaboration & Communication: Work closely with statisticians, chemists, and public health stakeholders to gather requirements, iterate on tools, and present software capabilities and analytical findings to technical and non-technical audiences.

Qualifications
  • Master's degree in Statistics, Biostatistics, Data Science, Computer Science, or a related quantitative field.
  • Strong programming proficiency in R, including demonstrated experience developing R Shiny applications.
  • Experience with software development best practices: version control (Git), modular code organization, documentation, and testing.
  • Working knowledge of statistical concepts sufficient to collaborate effectively with statisticians and to implement analytical methods correctly.
  • Proficiency in data manipulation and visualization in R (e.g., tidyverse).
  • Familiarity with reactive programming patterns and performance optimization for interactive applications is desirable.
  • Exposure to spatial, temporal, or spatio-temporal data, or to anomaly/novelty detection methods is a plus.
  • Experience or interest in applying analytical tools to public health, chemistry, forensic science, or epidemiological data.
  • Experience communicating technical ideas and tools to non-technical users.

Privacy Act StatementAuthority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)
Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program.
Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.
Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated.
SURA is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.
PREP0004899

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