How a Biotech Team Screened 500 Candidates in One Afternoon

How a Biotech Team Screened 500 Candidates in One Afternoon

How a Biotech Team Screened 500 Candidates in One Afternoon

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7 min read

About the episode

This is an unedited live walkthrough recorded with the computational biology team at a Series B biotech (name withheld at their request). Starting from a set of target binding properties, they ran 500 candidate screens, reviewed the top 20 with explainability reports, and shortlisted 4 for lab validation - in a single afternoon session.

We kept the whole thing in. Including the one moment where Marcus had to explain why candidate #7 ranked higher than the team expected.

Chapters

0:00

Introducing the research brief (target properties, constraints)

3:45

Uploading parameters and running the initial screen

9:20

Reading the ranked candidate list with confidence scores

16:10

Drilling into the explainability report for top 3 candidates

24:30

The team pushes back on candidate #7 - live discussion

31:00

Final shortlist of 4 selected for lab validation

35:15

What happens next - handing off to the lab queue

Final CTA- img

Join 15+ deep tech companies discovering breakthrough drugs, materials, and proteins in months instead of years.

Join 15+ deep tech companies discovering breakthrough drugs, materials, and proteins in months instead of years.

Final CTA- img

Join 15+ deep tech companies discovering breakthrough drugs, materials, and proteins in months instead of years.

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