Genetic Data Compliance + Software Engineering

Protecting the Data Behind Discovery

We build compliance infrastructure for organizations handling genetic data — navigating HIPAA, GINA, MODPA, and NIH requirements where they overlap and conflict.

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Our Approach

Genetic data sits at the intersection of 5+ overlapping regulatory regimes, each with distinct definitions, consent frameworks, and handling requirements. We bring together regulatory research, technical depth, and genomic domain expertise that this problem demands — in one team.

Regulatory + engineering, together We research the applicable rules, then build the systems that implement them. Policy and code ship as one deliverable.
Genomics-native We classify VCF, FASTQ, and BAM files, assess SNP-level re-identification risk, and map regulatory obligations per data type. The domain expertise is built in.
Right-sized for the work Focused engagements with the person who does the work — not a $250K framework or a platform subscription. You get compliance infrastructure built to your data and your regulations.

What We Do

Genomic Data Inventory

Automated discovery and classification of genetic data assets. SNP-level re-identification risk scoring. Jurisdictional compliance mapping.

Multi-Jurisdictional Compliance

Unified compliance programs that resolve conflicts between HIPAA, GINA, MODPA, Common Rule, and state privacy laws.

Research Consent Engineering

Consent management systems for genomic studies. IRB compliance workflows. dbGaP submission support.

AI & Software Engineering

AI training data provenance for genomic models. Custom software development. Cloud architecture and infrastructure.

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Our Infrastructure

Two-tier hosting model: compliant cloud for regulated workloads, green compute for everything else.

Regulated

Compliant Cloud Production

SOC2 Type II and HIPAA-ready production environment with signed BAA. Self-built compliance tooling — audit logging, drift detection, and automated evidence collection — on lean cloud infrastructure. Compliant by design, without the managed-services markup.

R&D

Frederick Green Datacenter

Custom servers, ambient air cooling, zero AC, zero water. Solar-powered via offsets. Redundant internet. Research, data warehousing, and computation at a fraction of cloud cost — with a minimal ecological footprint.

Regulations We Navigate

HIPAA
Genetic info as PHI
GINA
Title I & II nondiscrimination
MODPA
MD strict necessity standard
Common Rule
Human subjects + MD extension
NIH GDS
Genomic data sharing policy
PIPA
MD breach notification
FDA
Genetic test oversight
EU AI Act
Medical AI compliance

About

Piedmont Frontier LLC is a technology consultancy based in Frederick County, Maryland, specializing in compliance infrastructure for organizations handling genetic and health data. We combine software engineering with deep regulatory knowledge to build systems that operationalize complex, overlapping privacy requirements.

Founded by a computer scientist and technology executive with a background in high performance scientific computing and AI deployment. We understand both the biology and the code.

Frederick County, MD NIH corridor, HUBZone eligible
MS Computer Science Research-grade technical depth
Scientific Computing Decade in computational chemistry

Contact

Every engagement starts with a conversation. No sales process — you talk directly to the person who will do the work.

Email lawrence@piedmontfrontier.com
Location Frederick County, Maryland
Lawrence E. Stewart Founder & CTO, Piedmont Frontier LLC