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AI biotech investment

AI drug discovery

AI for bio careers

Getting Started in BioML Research & Engineering

Published:

Breaking into AI for Bio requires 1-5 years of sustained effort: solid fundamentals, meaningful research experience, demonstrated execution ability, and strong engineering practices. What actually matters when hiring managers review candidates.

AI transformation

“Legacy vs. AI-Native” Companies Isn’t the Right Question

Published:

Companies that scaled before ChatGPT (Nov 2022) are “AI-encumbered”—structurally disadvantaged against AI-native startups. The real dividing line isn’t age, it’s whether your organization was built with AI from day one versus bolting it onto existing systems.

AI-native companies

“Legacy vs. AI-Native” Companies Isn’t the Right Question

Published:

Companies that scaled before ChatGPT (Nov 2022) are “AI-encumbered”—structurally disadvantaged against AI-native startups. The real dividing line isn’t age, it’s whether your organization was built with AI from day one versus bolting it onto existing systems.

AlphaFold

The Nuances of Antibody Structure Prediction

Published:

Protein structure prediction advanced dramatically, but therapeutic antibody design faces a bottleneck: accurately predicting CDR loops, especially CDR H3, for novel sequences.

antibody design

The Nuances of Antibody Structure Prediction

Published:

Protein structure prediction advanced dramatically, but therapeutic antibody design faces a bottleneck: accurately predicting CDR loops, especially CDR H3, for novel sequences.

biotech AI strategy

“Legacy vs. AI-Native” Companies Isn’t the Right Question

Published:

Companies that scaled before ChatGPT (Nov 2022) are “AI-encumbered”—structurally disadvantaged against AI-native startups. The real dividing line isn’t age, it’s whether your organization was built with AI from day one versus bolting it onto existing systems.

biotech hiring

Getting Started in BioML Research & Engineering

Published:

Breaking into AI for Bio requires 1-5 years of sustained effort: solid fundamentals, meaningful research experience, demonstrated execution ability, and strong engineering practices. What actually matters when hiring managers review candidates.

career guidance

Getting Started in BioML Research & Engineering

Published:

Breaking into AI for Bio requires 1-5 years of sustained effort: solid fundamentals, meaningful research experience, demonstrated execution ability, and strong engineering practices. What actually matters when hiring managers review candidates.

computational biology

Getting Started in BioML Research & Engineering

Published:

Breaking into AI for Bio requires 1-5 years of sustained effort: solid fundamentals, meaningful research experience, demonstrated execution ability, and strong engineering practices. What actually matters when hiring managers review candidates.

drug development ROI

machine learning biology

Getting Started in BioML Research & Engineering

Published:

Breaking into AI for Bio requires 1-5 years of sustained effort: solid fundamentals, meaningful research experience, demonstrated execution ability, and strong engineering practices. What actually matters when hiring managers review candidates.

machine learning pharma

organizational design

“Legacy vs. AI-Native” Companies Isn’t the Right Question

Published:

Companies that scaled before ChatGPT (Nov 2022) are “AI-encumbered”—structurally disadvantaged against AI-native startups. The real dividing line isn’t age, it’s whether your organization was built with AI from day one versus bolting it onto existing systems.

protein engineering

The Nuances of Antibody Structure Prediction

Published:

Protein structure prediction advanced dramatically, but therapeutic antibody design faces a bottleneck: accurately predicting CDR loops, especially CDR H3, for novel sequences.

startup strategy

“Legacy vs. AI-Native” Companies Isn’t the Right Question

Published:

Companies that scaled before ChatGPT (Nov 2022) are “AI-encumbered”—structurally disadvantaged against AI-native startups. The real dividing line isn’t age, it’s whether your organization was built with AI from day one versus bolting it onto existing systems.

structure prediction

The Nuances of Antibody Structure Prediction

Published:

Protein structure prediction advanced dramatically, but therapeutic antibody design faces a bottleneck: accurately predicting CDR loops, especially CDR H3, for novel sequences.

therapeutic antibodies

The Nuances of Antibody Structure Prediction

Published:

Protein structure prediction advanced dramatically, but therapeutic antibody design faces a bottleneck: accurately predicting CDR loops, especially CDR H3, for novel sequences.