Hubs

Statistical design, analysis, interpretation, reporting, and manuscript support.

• Protocol review
• Sample size calculation
• Statistical analysis plan

Sequencing, omics, computational biology pipelines, quality control, and reproducible analysis support.

• Sequencing data intake
• FASTQ quality control
• Alignment and mapping

Data ingestion, transformation, validation, warehousing, orchestration, and production data infrastructure support.

• Data ingestion
• ETL / ELT
• Data validation

Data dictionaries, CRF review, cleaning plans, query management, coding, recoding, and dataset readiness support.

• Data dictionary
• CRF review
• Data cleaning

Prediction, classification, model validation, explainability, fairness review, and deployment-readiness support.

• Prediction problem definition
• Feature engineering
• Model training

Research question framing, causal reasoning, bias assessment, cohort definitions, and public-health interpretation support.

• Causal framework
• Exposure and outcome definition
• Bias assessment

Dashboards, visual analytics, indicator design, wireframing, user testing, and reporting interfaces.

• Indicator definition
• Dashboard wireframing
• Dashboard prototyping