AI Biologist - Peptide Discovery

AI Biologist – Peptide Discovery (In Partnership with Latch Bio) Full-Time | Remote | United States

We’re partnering with Latch Bio, a rapidly growing AI-driven biotechnology company, to recruit an AI Biologist specializing in Peptide Discovery.

Latch Bio builds rigorous scientific benchmarks that help leading AI labs and pharmaceutical companies evaluate how effectively their AI agents can perform real-world biological and clinical research workflows.

You will be the scientific authority on ground truth, testing whether agents can reason like an expert peptide discovery scientist.

This is an opportunity to apply your clinical and scientific expertise at the intersection of radiology, medical physics and frontier AI, helping establish the standards against which advanced AI systems are evaluated.

The Opportunity:

You’ll act as the scientific authority on peptide discovery, using your hands-on expertise to design challenging evaluations and assess whether AI agents can reason like an expert peptide scientist.

Working alongside scientists and engineers, you’ll translate real-world peptide discovery workflows into structured benchmarks, interpret complex experimental data, and establish gold-standard answers to evaluate AI performance.

This is a science-first role where deep peptide discovery expertise, experimental judgement, and the ability to distinguish genuine biological signals from misleading data are key to advancing what AI can achieve in therapeutic peptide discovery.

Key Responsibilities:

• Develop scientifically rigorous tasks and benchmarks across the peptide discovery lifecycle, from target tractability and hit generation through binding confirmation, functional validation and lead optimization.
• Analyse and interpret real-world peptide discovery datasets, including display-selection read counts, SPR/BLI sensor grams, fluorescence polarization, affinity-selection MS, HDX-MS, crosslinking-MS and NMR data.
• Establish gold-standard answers and evaluation criteria that reflect expert scientific reasoning, experimental variability and uncertainty.
• Assess AI-generated conclusions, distinguishing genuine peptide hits from selection, expression, propagation and assay-related artifacts.
• Evaluate binding affinity, kinetics, binding-site interactions, functional activity and peptide develop ability, including permeability, proteolytic and serum stability.
• Identify where AI agents misinterpret conflicting evidence, confuse binding with function, or make scientifically unsupported conclusions.
• Build quantitative analysis workflows in Python or R, including enrichment analysis, kinetic fitting and dose-response modelling.
• Work closely with scientists and software engineers to develop and continuously improve AI-driven peptide discovery benchmarks.

What We’re Looking For:

• PhD in peptide chemistry, biochemistry, biophysics, structural biology, medicinal chemistry or a related discipline.
• Senior, hands-on peptide discovery experience, with direct involvement in analysing real experimental programme data.
• Strong expertise in at least one of the following areas:
• Experience with phage display, mRNA display, ribosome display, RaPID or DNA-encoded libraries.
• Understanding of enrichment analysis, hit identification and selection-related artifacts.

Biophysics & Binding Kinetics:

• Hands-on experience with SPR/BLI, fluorescence polarisation (FP) or other binding assays.
• Ability to interpret binding kinetics, affinity measurements and assay artifacts.
• Experience with HDX-MS, crosslinking-MS, NMR or other structural mapping techniques.
• Ability to interpret binding-site evidence and distinguish direct contact from indirect effects.

Peptide Medicinal Chemistry & Develop ability:

• Experience with macrocyclization, hydrocarbon stapling,…