Depth in the science. Fluency in the stack.
Our team combines PhD-level domain expertise with production software engineering. Here’s what that looks like in practice.
Scientific and computational disciplines we work with every day.
Genomics & Multi-omics
NGS, variant calling, transcriptomics, epigenomics and single-cell analysis.
Computational Chemistry
Molecular docking, QSAR modeling and generative molecule design.
Machine Learning
Deep learning, LLMs, graph neural networks and classical statistical modeling.
Clinical & Biostatistics
Trial data pipelines, biostatistics and regulatory-aligned reporting.
A team hired for depth, not headcount.
We stay deliberately senior. Every engagement is staffed by people who’ve done this exact kind of work before, not a rotating bench of generalists.
Tools we reach for — and why.
We choose tooling based on the problem, not habit. This is the stack that shows up most often.
Languages & frameworks
Python, R, Nextflow, Snakemake, TypeScript / Node.js, Go, and PyTorch / TensorFlow for model development.
Data & infrastructure
PostgreSQL, BigQuery, S3-compatible object storage, Kubernetes, Docker, and AWS / GCP / Azure depending on institutional preference.
Bioinformatics tooling
GATK, STAR, Salmon, Cell Ranger, RDKit, AutoDock Vina and Schrödinger suite integrations, depending on the assay.
Security & compliance
SOC 2-aligned infrastructure practices, HIPAA-aware data handling, and audit logging built with OpenTelemetry and SIEM integrations.
Compliance isn’t an afterthought — it’s a design constraint.
HIPAA & GDPR-aware design
Data handling patterns built around patient and participant privacy requirements from day one.
GxP-aligned practices
Documentation and validation practices suited to regulated laboratory and clinical environments.
SOC 2-aligned infrastructure
Access control, encryption and monitoring patterns modeled on SOC 2 control objectives.
Want the specifics for your use case?
We’re happy to walk through architecture options and tooling trade-offs before you commit to anything.