Processes

Manage research

How manage research are reshaped as AGI capability advances.

ProcessesManage research
Manage research — illustrated

The bottom line

About 50% of the work in Manage research is information-shaped and increasingly AI-deliverable, with the rest a hybrid of judgment and hands-on work. The automation frontier runs straight through the middle of this role.

Why: The composite lacks seeded child occupations, so the scalar is derived from the process description and industry context. The description explicitly blends physical wet-lab procedures (developing assays, handling cells and organic samples) with analytical data assessment and validation, placing the work squarely in the hybrid band.

grounded in the economy graph · digital scalar 0.50 · hybrid

Business-as-Code

Read as an executable program — the work decomposed into Code, Generative, Agentic, and Human.

Manage research sits inside a larger value-flow — 1 parent structure it composes into. The hierarchy is grounding, not the story: it tells you which aggregate exposure Manage research inherits.

Where Manage research sits

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How the work flows

Trigger: A strategic research and development decision initiates the investigation of a specific disease mechanism or therapeutic area.

  1. Identify potential biological targets associated with the target disease state
  2. Evaluate and validate the therapeutic relevance of the identified target
  3. Design the initial investigative procedure to interact with the target
  4. Develop and optimize the analytic assay for qualitative or quantitative measurement
  5. Test the assay to verify required sensitivity, specificity, and reproducibility
  6. Finalize and document the standard operating procedures for the validated assay

Outcome: A biological target is validated and a standardized assay is developed to quantitatively or qualitatively measure its activity.

Measured by

Target Validation Cycle TimeAssay Reproducibility RateAssay Development CostTarget-to-Assay Success Rate