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Scientific Domain Lab

What this lab produces

Advance the right candidate.

Drug Discovery Lab compares candidates, routes unclear calls to discovery reviewers, and sends a promotion packet into the next stage.

Bring molecules, assay results, and program rules into one review flow. The lab ranks candidates, asks scientists to review the hard ones, and packages the promotion decision with the supporting evidence.

hit triagescientist reviewcandidate promotion

Problem

Use this when hit triage, lead review, or portfolio meetings slow down because the evidence behind each candidate decision is scattered.

Review motion

Candidate set in. Scientist review on edge cases. Promotion packet out.

Outcome

Assay context, candidate ranking, reviewer notes, and promotion status stay tied together.

Plan a Drug Discovery pilotBack to Domain Labs
discovery scientist4 shared layersReviewed outcome

Example handoff

Promotion packet

Assay context, candidate ranking, reviewer notes, and promotion status stay tied together.

Candidate promotion packet
Assay-backed shortlist
candidateAssay context and hit ranking preserved
reviewDiscovery notes and promotion rationale attached
exportPortfolio-ready candidate packet
Candidate set in. Scientist review on edge cases. Promotion packet out.
Primary reviewer: Discovery scientist
Candidate set in. Scientist review on edge cases. Promotion packet out.
Primary reviewer: Discovery scientist
Assay context, candidate ranking, reviewer notes, and promotion status stay tied together.

SMILES / SDF / assay tables

Accepted formats

Start with the files and records the team already uses.

Discovery scientist

Reviewer

Put the right specialist on the hard cases.

Promotion packet

Outcome

Hand off one reviewed record instead of scattered notes.

4 shared layers

Shared backbone

The workflow stays domain-specific while review, memory, and release control stay reusable.

In plain English

The problem, the review step, and the result

This is the simple version: what the team is trying to do, when a person steps in, and what the team gets at the end.

Who needs this lab

Discovery, translational, and portfolio review teams

Bring molecules, assay results, and program rules into one review flow. The lab ranks candidates, asks scientists to review the hard ones, and packages the promotion decision with the supporting evidence.
Use this when hit triage, lead review, or portfolio meetings slow down because the evidence behind each candidate decision is scattered.
hit triagescientist reviewcandidate promotion

Included in the lab

Start with the real candidate set and the rules that matter.
Send the hard calls to the discovery scientist.
Hand off a promotion packet the next team can trust.
Customer journey

How the work moves through review

These steps show how the work moves, where judgment matters, and what the team leaves with at the end.

Step 01

Bring in the candidate set

Start

Load the work, context, and rules into one record.

Result

Use SMILES / SDF / assay tables.

Step 02

Review the hard cases

Review

Score the work and route the exceptions to the discovery scientist.

Result

Highlight what can move fast and what cannot.

Step 03

Export the promotion packet

Outcome

Package the approved result for the next team, approval gate, or audit request.

Result

Bundle the evidence with the decision.

Focus areas

What this lab has to get right

Each lab has to fit the work itself, the review step, and the handoff to the next team.

Focus 01

Hit triage

Start with the real candidate set and the rules that matter.

  • Bring in SMILES / SDF / assay tables without stripping away context.
  • Keep project constraints visible from the first step.
  • Give the team one clear place to start the review.

Focus 02

Scientist review

Send the hard calls to the discovery scientist.

  • Surface the cases that need human judgment.
  • Keep reviewer notes attached to the decision.
  • Make approvals, overrides, and escalations easy to explain later.

Focus 03

Candidate promotion

Hand off a promotion packet the next team can trust.

  • Export lineage, notes, and approval status together.
  • Save repeat failures as checks for the next run.
  • Deliver one clean packet for the next team or gate.
Workflow map

One working loop from intake to handoff

The loop is simple: bring the work in, review the hard cases, and export a result someone else can trust.

Phase 01

Bring in the candidate set

Intake

Load the work, context, and rules into one record.

  • Use SMILES / SDF / assay tables.
  • Capture the project rules before review starts.
  • Keep the original context attached.

Phase 02

Review the hard cases

Review

Score the work and route the exceptions to the discovery scientist.

  • Highlight what can move fast and what cannot.
  • Record reviewer notes and final calls.
  • Keep the audit trail readable.

Phase 03

Export the promotion packet

Export

Package the approved result for the next team, approval gate, or audit request.

  • Bundle the evidence with the decision.
  • Save the same mistake as a future check.
  • Hand off a packet someone else can inspect.
Regulatory and assurance relevance

Who signs off and what they need to see

Some teams answer to regulators. Others answer to quality teams, partners, or customers. Either way, the decision has to be easy to inspect later.

Reviewer fit

  • Discovery scientist
  • Program owner
Usually paired with AI Labs, Workforce, Regression Bank, Control Center.

What stays attached

Assay context, candidate ranking, reviewer notes, and promotion status stay tied together.

Why teams trust the result

Use this when hit triage, lead review, or portfolio meetings slow down because the evidence behind each candidate decision is scattered.

Use this when hit triage, lead review, or portfolio meetings slow down because the evidence behind each candidate decision is scattered.
Reviewer notes, approval state, and lineage stay attached to the work.
The result leaves as a promotion packet the next team can actually inspect.
Powering modules

What powers the lab behind the scenes

These are the shared platform layers behind the workflow, not extra steps your team has to learn.

Bring the drug discovery workflow that actually needs a specialist loop.

Bring the workflow that is slow, risky, or hard to explain today. We will map the review step and the packet that should come out of it.

Problem

Use this when hit triage, lead review, or portfolio meetings slow down because the evidence behind each candidate decision is scattered.

Review motion

Candidate set in. Scientist review on edge cases. Promotion packet out.

Outcome

Promotion packet

Plan a Drug Discovery pilotReview all Domain Labs