About Omer

A focused consulting engagement can help when data work is slowing scientific progress.

Built for teams where scientific data has outgrown ad hoc workflows

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Tell me what your team is trying to improve.

A defined delivery when one workflow, tool, or data challenge needs focused ownership.

Project-based consulting

Ongoing support when priorities shift and the team needs reliable technical capacity.

Part-time consulting

Close collaboration when delivery depends on regular work with scientific and data teams.

Embedded collaboration

Bioinformatics consulting and data engineering for production genomics and clinical data platforms.

Graduate research in computational biology and reproducible multi-omics analysis.

Python

Statistical analysis and genomics with Bioconductor

Dashboards for genomics and clinical data exploration

Shiny

Streamlit

Interactive web applications and dashboards

React and Next.js

Cloud compute, storage, and bioinformatics infrastructure

Storage and querying for clinical and omics data

Snowflake

Dagster

Docker and Kubernetes

Foundation models for scientific text analysis and data extraction workflows

AWS Bedrock

Structured data extraction from scientific literature and reports

Document processing

I help biotech and pharmaceutical teams replace fragmented data and manual scientific workflows with validated pipelines, practical dashboards, and reliable research data systems.

Turn complex biotech data into systems your teams can use.

Discuss the scientific question, current workflow, users, and operational constraints.

Understand the constraint

Agree on scope, working approach, and what a useful handoff looks like.

Define the smallest useful delivery

Deliver iteratively with validation, documentation, and project-appropriate knowledge transfer.

Build with the team

PhD in Computational Biology from Carnegie Mellon University and the University of Pittsburgh, with peer-reviewed work spanning genomics, evolution, and computational biology.

Research foundation

Validated pipelines that turn fragmented scientific inputs into reliable, analysis-ready data.