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PPRLA Task Lead

Caliber Systems Inc., Rockville, MD, United States


CALIBRE Systems inc., is an employee-owned mission focused solutions and digital transformation company. We are seeking a highly motivated

Privacy Preserving Record Linkage Automation (PPRLA) Task Lead

to support a federal client. This role will lead delivery of key PPRLA technical components, driving secure development, rigorous testing and validation, and high-quality record linkage capabilities across assigned subtasks.
The Task Lead will oversee technical execution, manage resources and schedules, and ensure delivery of scalable, high-quality linkage solutions. This position requires strong experience in statistical modeling, data linkage methodologies, and AI/ML-driven approaches within secure or privacy-sensitive environments.
Location:

Rockville, MD (Onsite – 5600 Fishers Lane, Rockville, MD 20857)

Required Skills

Strong experience with probabilistic, deterministic, and hybrid record linkage methodologies

Knowledge of privacy-preserving record linkage (PPRL) techniques and approaches

Experience with statistical analysis, confidence scoring, and data quality evaluation

Familiarity with AI/ML models and self-learning matching algorithms

Ability to evaluate system performance using statistical metrics

Strong technical documentation skills (code documentation, test results, implementation guidance)

Ability to communicate complex technical concepts clearly (written and verbal)

Experience with risk identification, issue tracking, and performance reporting

Required Experience

Bachelor’s degree in Data Science, Statistics, Behavioral Science, or related field

5+ years of experience in data linkage, statistical modeling, AI/ML, and/or secure data processing

Experience leading technical tasks or subtasks on projects of similar size and complexity

Hands-on experience implementing or supporting machine learning-based systems

Preferred Experience

Experience with embedding techniques (e.g., transformer-based embeddings) and similarity metrics

Familiarity with explainable AI and algorithm transparency tools

Experience working in secure research environments or privacy-sensitive data enclaves

Experience contributing to white papers, dashboards, or technical reporting

Clearance Requirements

Must be able to obtain and maintain required suitability/clearance, as applicable.

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