Solutions Architect Forensic Science

Overview

Remote
$70 - $100
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

Digital Forensics
ISO 9000
LIMS
Blockchain
Machine Learning (ML)

Job Details

Solutions Architect Forensic Science

Location- Remote

12 Months

Client- IBM

Job Summary: - The Solutions Architect will be responsible for designing, implementing, and optimizing technology solutions tailored to the unique needs of forensic science applications entailing all forensic services provided by the CLIENT. This role involves collaborating with forensic scientists, forensic executives, law enforcement, and development teams to create scalable, secure, and efficient systems that support forensic analysis, evidence management, and data-driven investigations. The ideal candidate will have a strong technical background, excellent problem-solving skills, and a passion for advancing forensic science through technology

Preferred Qualifications -
Experience, and Domain Knowledge [ IMPORTANT]

    • 2 years of experience in forensic science, criminal justice, or a related field.
    • Proven experience designing and implementing complex systems, such as LIMS, digital forensics tools, or evidence management platforms.
    • Demonstrated experience applying hybrid project management methodologies (Waterfall, Agile, or Scrum)
    • Familiarity with forensic science technologies, such as LIMS, ADAMS, CrimePad, QualTrax, and testing equipment software.
    • Experience with AI/ML applications in forensic science (e.g., pattern recognition, predictive analytics). Background in cybersecurity or blockchain for secure evidence tracking.
    • Prior work with government or law enforcement agencies on forensic technology projects.
    • Understanding of forensic science processes, including evidence collection, chain of custody, and laboratory workflows.
    • Familiarity with forensic standards and regulations (e.g., ISO 17025/17020, ANAB, OSAC, SWGDAM, NIST).
    • Knowledge of legal and ethical considerations in forensic data handling.

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