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Remote Dna Forensic Analyst Jobs in Colorado (NOW HIRING)

Ascend Analytics

General Interest

Boulder, CO · On-site +1

General Interest, Boulder, CO (Hybrid or Remote) Don't see the right role yet? We still want to ... Our Mission @ Ascend At Ascend Analytics, our mission centers on creating sustainable economic ...

Crowe LLP

Workday Absence & HCM Senior Analyst

Denver, CO · Remote

$93K - $118K/yr

... our DNA across our audit, tax, and consulting groups. That's why we continuously invest in ... LI-SAW #LI-Remote POSITION REQUIREMENTS: Education Bachelor's degree in Human Resources ...

Danaher

Principal, RA Specialist

Boulder, CO · On-site +1

AtIntegrated DNA Technologies (IDT),one ofDanaher's15+ operating companies, our work saves lives ... We recognize the benefits of flexible, remote working arrangements for eligible roles and are ...

Rule4

Cybersecurity Engineer

Boulder, CO · On-site +1

$85K - $125K/yr

From forensic investigations to running workshops, we learn by doing. Sound like a lot of ... Analyze and improve infrastructure and application cybersecurity, performance, and availability

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Remote Dna Forensic Analyst information

What is a remote DNA forensic analyst?

A Remote DNA Forensic Analyst is a professional who analyzes genetic material, such as blood, hair, or skin cells, from a distance using secure digital platforms. They interpret DNA evidence for criminal investigations, legal cases, or research purposes without being physically present in a forensic laboratory. Their work typically involves reviewing digital data files, conducting statistical analyses, and writing detailed reports for law enforcement or legal entities. Remote analysts must adhere to strict protocols to ensure the integrity and confidentiality of the DNA evidence. Their role allows forensic science to be more flexible and accessible, especially in cases where on-site analysis is not feasible.

What are the key skills and qualifications needed to thrive as a remote DNA forensic analyst?

To thrive as a Remote DNA Forensic Analyst, you need a solid background in molecular biology, genetics, and forensic science, typically supported by a relevant degree and experience in laboratory techniques. Familiarity with DNA analysis software, laboratory information management systems (LIMS), and certifications such as those from the American Board of Criminalistics are highly valued. Strong attention to detail, analytical thinking, and effective written communication are crucial soft skills for accurate data interpretation and report writing. These competencies ensure reliable forensic results, maintain evidentiary integrity, and support collaboration with law enforcement agencies remotely.

How does a remote DNA forensic analyst collaborate effectively with on-site law enforcement and laboratory teams?

As a Remote DNA Forensic Analyst, collaboration with on-site teams is vital for accurate and timely casework. Analysts typically use secure digital platforms to communicate, transfer data, and review case files with law enforcement officers and laboratory staff. Regular virtual meetings and detailed documentation ensure everyone stays aligned on protocols and findings. Building strong remote communication skills and staying updated on digital evidence management tools can help overcome the challenges of not being physically present in the lab.

What is the difference between Remote Dna Forensic Analyst vs Remote DNA Laboratory Technician?

AspectRemote Dna Forensic AnalystRemote DNA Laboratory Technician
CredentialsForensic science degree, DNA analysis certificationsBiology or chemistry degree, lab technician certifications
Work EnvironmentAnalyzing forensic DNA samples, report writing, case reviewPreparing samples, conducting tests, maintaining lab equipment
Employer & IndustryLaw enforcement agencies, forensic labsResearch labs, medical labs, forensic labs
Search & Comparison IntentUnderstanding forensic DNA analysis rolesLaboratory procedures and technician roles

The Remote Dna Forensic Analyst primarily focuses on analyzing forensic DNA samples, interpreting results, and preparing reports for legal cases, often working closely with law enforcement. In contrast, the Remote DNA Laboratory Technician handles sample preparation, conducts laboratory tests, and maintains equipment. Both roles require related certifications and work in forensic or research environments, but their responsibilities differ in scope and focus.

How do I become a remote DNA forensic analyst?

To become a remote DNA forensic analyst, typically you need a bachelor's degree in forensic science, biology, or a related field, along with specialized training in DNA analysis. Certification from relevant professional organizations and proficiency with laboratory software and equipment are also important, along with strong attention to detail and analytical skills. Gaining experience through internships or entry-level positions can help establish qualifications for remote work opportunities.

Is it hard to get a job as a remote DNA forensic analyst?

Securing a remote DNA forensic analyst position can be competitive due to specialized skills required, such as proficiency with forensic analysis tools and certifications like ASCLD-LAB accreditation. Employers often seek candidates with relevant laboratory experience, strong attention to detail, and the ability to work independently in a remote setting. Building a solid background in forensic science and gaining relevant certifications can improve job prospects.

Is there a demand for remote DNA forensic analysts?

Remote DNA forensic analysts are in increasing demand as forensic laboratories and agencies adopt remote work technologies. Skills in molecular biology, laboratory analysis, and familiarity with forensic software are essential, and remote positions often require certification and secure data handling capabilities.

What are the most commonly searched types of Dna Forensic Analyst jobs in Colorado?

The most popular types of Dna Forensic Analyst jobs in Colorado are:

What are popular job titles related to Remote Dna Forensic Analyst jobs in Colorado?

For Remote Dna Forensic Analyst jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Remote Dna Forensic Analyst jobs in Colorado look for?

The top searched job categories for Remote Dna Forensic Analyst jobs in Colorado are:

What cities in Colorado are hiring for Remote Dna Forensic Analyst jobs?

Cities in Colorado with the most Remote Dna Forensic Analyst job openings:

Remote Dna Forensic Analyst jobs near you
Infographic showing various Remote Dna Forensic Analyst job openings in Colorado as of August 2026, with employment types broken down into 78% Full Time, 17% Part Time, and 5% Contract. Highlights an 100% Remote job distribution.

Cyber AI Security & Forensic Engineer - IT & OT

3coresystems

Denver, CO • On-site, Remote

Contractor

Posted 2 days ago

New

Job description

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Cyber AI Security & Forensic Engineer - IT & OT<\/b>
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\n Location:<\/b> South Denver, CO
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Duration:<\/b> Long Term
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Positions:<\/b> 2 Openings - 1 IT \/ 1 OT
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\n Work Arrangement:<\/b> 2days Onsite \-Hybrid as required by the client
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Job Summary<\/b>
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We are seeking experienced Cyber AI Security & Forensic Engineers<\/b> to help identify, assess, and mitigate emerging cybersecurity risks associated with Artificial Intelligence, Large Language Models (LLMs), Generative AI, and autonomous\/agentic AI systems<\/b>.
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There are two openings for this position:
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  • IT Cyber AI Security & Forensic Engineer:<\/b> Focused on enterprise applications, cloud environments, LLM\/GenAI applications, APIs, AI agents, and application security.
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  • OT Cyber AI Security & Forensic Engineer:<\/b> Focused on applying AI security and cybersecurity principles within Operational Technology (OT), Industrial Control Systems (ICS), SCADA, and industrial environments<\/b>.
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    The ideal candidates will have a strong cybersecurity foundation combined with hands\-on experience assessing AI\/LLM applications, identifying vulnerabilities and bypass techniques, recommending security controls, and applying security frameworks such as OWASP<\/b>.
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    Key Responsibilities<\/b>
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    • Perform security testing of AI applications, LLMs, Generative AI solutions, and AI\-enabled platforms<\/b> to identify vulnerabilities, weaknesses, misuse cases, and potential bypass techniques.
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    • Conduct AI\/LLM security assessments, including testing for prompt injection, jailbreaks, data leakage, insecure outputs, model manipulation, and unauthorized access<\/b>.
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    • Evaluate AI applications and integrations for security weaknesses across APIs, data sources, tools, plugins, and external services.
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    • Assess agentic AI architectures<\/b> and autonomous software agents to understand how agents interact with external tools, APIs, data, and enterprise systems.
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    • Evaluate agent permissions, tool access, authentication, authorization, and least\-privilege controls.
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    • Identify risks associated with excessive agency, insecure tool use, indirect prompt injection, and unauthorized actions.
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    • Recommend secure AI and data usage practices<\/b>, including data protection, access controls, secure prompts, guardrails, and responsible AI practices.
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    • Apply OWASP Top 10, OWASP API Security Top 10, OWASP LLM Top 10<\/b>, and other applicable security standards to identify and communicate security risks.
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    • Perform threat modeling and security assessments for AI\-enabled applications and services.
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    • Work with application, cloud, data, infrastructure, and cybersecurity teams to remediate identified vulnerabilities.
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    • Support vulnerability management, incident investigations, digital forensics, and root\-cause analysis where required.
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    • Review logs, telemetry, application behavior, and security events to identify suspicious or malicious AI activity.
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    • Develop security recommendations, assessment reports, remediation plans, and technical documentation.
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    • Stay current with emerging AI attack techniques, LLM vulnerabilities, agentic AI risks, and AI security frameworks.
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      IT Position - Additional Responsibilities<\/b>
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      • Assess security of enterprise LLM\/GenAI applications, APIs, cloud services, RAG solutions, vector databases, and AI integrations<\/b>.
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      • Test AI applications for prompt injection, jailbreaks, sensitive information disclosure, insecure output handling, and data poisoning.
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      • Review AI integrations with enterprise applications, SaaS platforms, APIs, and external tools.
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      • Evaluate cloud security controls across AWS, Azure, or GCP<\/b> environments.
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      • Support application security, API security, secure SDLC, SAST\/DAST, and DevSecOps initiatives.
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      • Analyze AI application logs and telemetry for security anomalies and potential abuse.
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        OT Position - Additional Responsibilities<\/b>
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        • Apply AI and cybersecurity security practices to Operational Technology environments<\/b>, including ICS, SCADA, PLC, DCS, and industrial control systems.
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        • Assess security risks associated with AI\-enabled OT applications and autonomous systems.
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        • Understand OT network architecture, segmentation, remote access, industrial protocols, and OT security controls.
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        • Support OT incident response, threat hunting, forensic investigations, and security assessments.
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        • Evaluate the potential impact of AI\-driven attacks or compromised AI systems on industrial environments.
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        • Work closely with OT engineering, controls, infrastructure, and cybersecurity teams to identify and mitigate risks.
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          Required Qualifications<\/b>
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          • Bachelor's degree in Cybersecurity, Computer Science, Information Technology, Engineering, or a related field, or equivalent experience.
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          • Strong cybersecurity engineering, application security, penetration testing, or security assessment experience.
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          • Hands\-on experience with AI\/ML security, LLM security, Generative AI security, or AI application testing<\/b>.
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          • Understanding of common LLM and AI vulnerabilities, attack techniques, and security controls.
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          • Experience with OWASP Top 10<\/b> and preferably OWASP LLM Top 10 \/ OWASP Agentic AI security concepts<\/b>.
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          • Experience with threat modeling, vulnerability assessment, security testing, and risk analysis.
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          • Understanding of authentication, authorization, API security, data protection, and least\-privilege principles.
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          • Experience analyzing security findings and providing practical remediation recommendations.
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          • Strong analytical, troubleshooting, documentation, and communication skills.
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