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Entry Level Open Source Intelligence Analyst Jobs in Frederick, MD

GenAI Developer

Leesburg, VA · On-site +1

$115K - $165K/yr

We are focused on serving Federal / Civilian, Defense and Intelligence organizations with superior ... Experience working with APIs for commercial or open-source models * Ability to analyze technically ...

GenAI Developer

Leesburg, VA · Remote

$115K - $165K/yr

We are focused on serving Federal / Civilian, Defense and Intelligence organizations with superior ... Experience working with APIs for commercial or open-source models * Ability to analyze technically ...

Eng II - Sys

Rockville, MD · On-site

$79K - $134K/yr

BAE Systems is seeking an Entry-Level Verification and Validation (V&V) Systems Engineer to support ... Our pride and dedication shows in everything we do-from intelligence analysis, cyber operations and ...

Lead Financial BA

Rockville, MD · Remote

$70 - $75/hr

... source code. * Advanced proficiency with spreadsheets for business and operational analysis ... Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its ...

... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ... analyzing resumes, or assessing responses and identifying potential inconsistencies or verification ...

... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ... analyzing resumes, or assessing responses and identifying potential inconsistencies or verification ...

Software Tutor

Rockville, MD · Remote

$18 - $40/hr

Guides students through requirements analysis, architectural planning, code implementation, unit ... open-source communities. * Curriculum Awareness & Adaptive Instruction: Familiar with software ...

Software Tutor

Leesburg, VA · Remote

$18 - $40/hr

Guides students through requirements analysis, architectural planning, code implementation, unit ... open-source communities. * Curriculum Awareness & Adaptive Instruction: Familiar with software ...

Showing results 21-40

Entry Level Open Source Intelligence Analyst information

See Frederick, MD salary details

$50.7K

$98.1K

$145.7K

How much do entry level open source intelligence analyst jobs pay per year?

As of Aug 21, 2026, the average yearly pay for entry level open source intelligence analyst in Frederick, MD is $98,053.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,600.00 and $122,300.00 per year, depending on experience, location, and employer.

What does an entry level open source intelligence analyst do?

An Entry Level Open Source Intelligence (OSINT) Analyst collects, analyzes, and interprets publicly available information to help organizations make informed decisions. This role involves researching data from sources like news articles, social media, public records, and websites to identify trends, threats, or relevant insights. Analysts often support security, law enforcement, or business operations by preparing reports and briefings based on their findings. Entry-level analysts typically use specialized tools and follow strict ethical guidelines to ensure their work is accurate and legal.

What are the key skills and qualifications needed to thrive as an entry level open source intelligence analyst?

To thrive as an Entry Level Open Source Intelligence Analyst, you need strong research abilities, analytical thinking, and a relevant degree in fields like criminal justice, international relations, or cybersecurity. Familiarity with open-source intelligence (OSINT) tools, data visualization platforms, and basic knowledge of information security protocols are typical technical requirements. Attention to detail, critical thinking, and effective written communication make candidates stand out in this position. These skills and qualities are crucial for accurately gathering, interpreting, and presenting information to support informed decision-making in security or investigative contexts.

What are some common challenges faced by entry level open source intelligence analysts, and how can they be addressed?

Entry-level Open Source Intelligence (OSINT) Analysts often face challenges such as information overload, verifying the credibility of sources, and adapting to rapidly changing data landscapes. To address these, developing strong research methodologies, learning to use advanced OSINT tools, and collaborating with more experienced team members are essential. Regular training and staying updated on best practices also help analysts efficiently filter relevant information and produce accurate, actionable intelligence.

What is the difference between Entry Level Open Source Intelligence Analyst vs Cybersecurity Analyst?

AspectEntry Level Open Source Intelligence AnalystCybersecurity Analyst
Required CredentialsBachelor's degree in intelligence, security, or related field; certifications like OSINT certificationsBachelor's in cybersecurity, computer science; certifications like CompTIA Security+ or CEH
Work EnvironmentGovernment agencies, intelligence firms, private securityIT departments, security firms, corporate environments
Industry UsageIntelligence gathering, national security, law enforcementProtecting networks, incident response, threat analysis

While both roles involve security and information analysis, Entry Level Open Source Intelligence Analysts focus on collecting and analyzing publicly available information for intelligence purposes, often within government or security agencies. Cybersecurity Analysts primarily protect digital assets by monitoring and defending networks. The roles share some certifications and work environments but differ in their core focus and industry applications.

What are the most commonly searched types of Open Source Intelligence Analyst jobs in Frederick, MD?

The most popular types of Open Source Intelligence Analyst jobs in Frederick, MD are:

What are popular job titles related to Entry Level Open Source Intelligence Analyst jobs in Frederick, MD?

For Entry Level Open Source Intelligence Analyst jobs in Frederick, MD, the most frequently searched job titles are:

What cities near Frederick, MD are hiring for Entry Level Open Source Intelligence Analyst jobs?

Cities near Frederick, MD with the most Entry Level Open Source Intelligence Analyst job openings:

Infographic showing various Entry Level Open Source Intelligence Analyst job openings in Frederick, MD as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $98,053 per year, or $47.1 per hour.

Associate Director - Digital Proteomics and AI Innovation

AstraZeneca GmbH

Gaithersburg, MD • On-site

$140 - $200/hr

Other

Posted 3 days ago

New


Job description

Make a meaningful impactonpatients’ lives around theworld

At AstraZeneca, we are combining cutting edge science, data and artificial intelligence to transform how we discover and develop medicines. This role sits within the Centre for Genomics Research (CGR) and works in close collaboration with AstraZeneca Infectious Disease and Oncology, offering a unique opportunity to shape new digital and AI capabilities for the cancer vaccine space.

Based in CGR, you will sit at the intersection of mass spectrometry-based proteomics, immunopeptidomics and agentic AI — building the data foundations and intelligent systems that allow scientists to explore high-throughput proteomics, HLA-peptidomics, neoantigen discovery, genetic sequencing, transcriptomics and emerging molecular assays as a connected whole. This is a hands‑on technical role for someone who can combine deep proteomics expertise with the practical engineering judgement needed to design, deploy and scale AI systems that scientific users actually rely on.

What you’ll do
  • Identify high-value workflow opportunities where agentic AI can transform how proteomic, peptidomic and multi-omic data are explored, integrated, interpreted and automated.
  • Design, build, deploy and iterate AI-enabled systems — including agentic workflows — that are usable, maintainable and integrated into real scientific practice.
  • Bring deep domain expertise in mass spectrometry, proteomics and peptidomics to shape data standards, analytical approaches and biological interpretation, with particular relevance to immunopeptidomics and neoantigen‑centric workflows.
  • Drive integrative analysis across proteomics, peptidomics, sequencing, transcriptomics and experimental metadata to generate translational insight.
  • Partner within informaticians, data and mass spectrometry scientists within CGR, and collaborate closely with scientific stakeholders in AstraZeneca Infectious Disease and Oncology, to embed AI capabilities into scalable, governed analytical environments.
  • Contribute technical expertise to scientific discussions, sharing knowledge with colleagues and engaging with internal and external scientific communities.
Essential criteria
  • Advanced degree (PhD or equivalent experience) in proteomics, computational biology, bioinformatics, data science, biostatistics, computer science or a related discipline.
  • Deep expertise in mass spectrometry-based proteomics and peptidomics, including a working understanding of experimental design, data characteristics, limitations and interpretation challenges.
  • Strong hands‑on data science and software delivery experience, with a track record of building, deploying and maintaining analytical or AI‑enabled systems used by scientific teams.
  • Demonstrated experience developing agentic AI workflows or advanced AI systems for scientific data exploration, interpretation or workflow automation.
  • Proven ability to integrate and analyse multidimensional datasets spanning proteomics, peptidomics, sequencing, transcriptomics and associated metadata to generate biological insight.
  • Ability to operate as an independent, hands‑on technical contributor — combining scientific judgement with pragmatic engineering and delivery.
  • Excellent communication and collaboration skills, with a track record of translating complex scientific and technical concepts into solutions that scientific and technical users adopt.
Desirable criteria
  • Experience applying digital proteomics and AI-enabled approaches in oncology, immunology, cancer vaccines, immunopeptidomics or neoantigen discovery.
  • Experience designing data foundations, ontologies, harmonised analytical environments or reusable AI capabilities for large-scale scientific research.
  • Experience extending across additional omics modalities in partnership with domain specialists.
  • Track record of innovation evidenced through deployed tools, software products, open-source contributions, peer‑reviewed publications or conference presentations in proteomics, peptidomics, AI or data science.
How we do it

At AstraZeneca, we’re dedicated to being a Great Place to Work, where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit. There’s no better place to make a difference in medicine, patients, and society. An inclusive culture that champions diversity and collaboration. Always committed to lifelong learning, growth, and development.

Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.

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