Skills

Translational

Real-world data and EHR cohort analysis (NIH All of Us Researcher Workbench, NashBio) for indication selection and trial feasibility
Multi-omics data integration and translational biomarker development
Modeling and prediction to improve clinical trial outcomes
Assay contracting, vendor management, and clinical site relationship management
Electronic Data Capture database analysis (e.g., Medidata Rave)

Agentic AI development (Claude Code, MCP) and secure LLM deployment, cloud and on-prem
Machine and deep learning for oligonucleotide design and high-throughput screening analysis
Cloud computing on Amazon Web Services (AWS)
Advanced R programming with experience in complete Posit Suite (Workbench/Rstudio; Package Manager; Connect)
Python for data science, pipelines, and application development
High-throughput sequencing data analysis and pipeline automation (nextflow, snakemake)
Version control and collaborative development (git, GitHub Enterprise, Gitea)
Software containerization and deployment (docker, AWS EKS)
Single-cell RNA-seq processing and analysis (Seurat, Bioturing, cellxgene)
UNIX/Linux/GNU environments (bash, R, python, sql*, perl)
Data visualization and reporting (quarto, knitr, shiny, spotfire)