Services

Founder-led support across data, interpretation, and workflow design

Our services are designed for teams that need more than one-off analysis. We support the full path from data intake to interpretation, troubleshooting, reporting, and repeated internal use.

Omics and bioinformatics analysis

Single-cell and transcriptomics workflows

Support for single-cell RNA-seq, bulk RNA-seq, transcriptomics review, pathway analysis, differential expression, and report-ready interpretation.

  • Quality control and preprocessing workflows
  • Cell-state or cluster interpretation support
  • Pathway and mechanism-oriented summaries
  • Reusable notebooks and reporting outputs

Multi-omics, microbiome, and metabolomics

Support for projects that need signals compared across molecular layers or need stronger interpretation around microbiome, metabolomics, and integrated omics datasets.

  • Cross-dataset signal organization
  • Biomarker candidate support
  • Cohort-level comparison workflows
  • Research-ready summary outputs

Research project support

Student, thesis, and publication workflows

Support for university labs, postgraduates, and academic teams that need reproducible analysis pipelines for theses, publications, grant work, or public-dataset studies.

  • Project-specific analysis pipelines
  • Public and institutional dataset review
  • Figures, tables, and narrative-ready outputs
  • Troubleshooting when results are unclear or incomplete

Research consulting and data troubleshooting

Help for teams that need to debug a workflow, interpret a difficult result, refine analysis logic, or connect experimental context with computational outputs.

  • Experimental and data-review support
  • Analysis refinement in Python or R
  • Reproducibility and documentation improvements
  • Biology-grounded interpretation review

Clinical, cohort, and patient-data workflows

Cohort and chronic disease analysis

Support for teams working with cohort studies, chronic disease datasets, patient stratification, and structured evidence review around translational or medically oriented questions.

  • Longitudinal patient or cohort summaries
  • Review of labs, symptoms, medication changes, and outcomes
  • Follow-up tracking and unresolved issue detection
  • Structured summaries for handoff and continuity

Patient support and after-care workflows

Design systems that strengthen what happens after treatment, consultation, discharge, or procedure completion.

  • Post-visit review workflows
  • Monitoring of symptom updates and patient-reported information
  • Follow-up prioritization logic
  • Support for adherence and care-plan tracking

These workflows are built to support research, care coordination, and patient communication processes. They do not replace licensed medical judgment or emergency care pathways.

Drug development and translational support

Target, mechanism, and literature review

Help research teams gather and structure what they need to evaluate biological targets, disease pathways, and indication opportunities.

  • Target-centered literature review
  • Mechanism-of-action evidence organization
  • Disease pathway summaries
  • Data packages for internal review

Biomarker and translational evidence support

Support for teams working on biomarker discovery, stratification strategy, translational evidence generation, and recurring review tasks across programs.

  • Biomarker evidence mapping
  • Cohort segmentation support
  • Study-readout interpretation support
  • Decision-support summaries for next-stage planning

Custom tools, dashboards, and workflow productization

Custom Python and R workflows

Build bespoke analysis flows, reusable notebooks, data-cleaning systems, and internal research tools tailored to a lab, program, or review team.

Internal dashboards and repeated-use systems

Convert repeated tasks into more structured internal dashboards, evidence repositories, and reporting workflows so the work becomes easier to repeat and scale.

How engagements can be structured

Project-based support

For one defined analysis, publication workflow, translational question, or internal data bottleneck.

Pilot workflow design

For labs or teams testing a new review model, dashboard, or repeated-use evidence workflow.

Embedded collaboration

For active teams that need ongoing help organizing data, reviewing evidence, and improving internal workflows.