AI Biologist - Peptide Discovery

Metric Bio; United States; À distance; USD 150 000 - 190 000; Plein temps

Avantages offerts par ce poste

Remote work flexibility

Résumé du poste

Metric Bio seeks an AI Biologist specializing in peptide discovery, partnering with LatchBio. You will lead benchmarking efforts, evaluate AI agents on complex peptide data, and ensure robust, scientifically sound conclusions.

The role blends experimental judgements with computational analysis in a fully remote US setting. You will design tasks, interpret datasets from binding and developability assays, and work with engineers to advance AI-driven peptide discovery standards.

Qualifications

• PhD in a relevant discipline with hands-on peptide discovery experience.
• Experience analysing real experimental programme data.
• Strong expertise in binding kinetics, structure mapping or developability.
• Experience with display technologies or non-canonical residues is a plus.
• Ability to design rigorous benchmarks and interpret AI-driven results.

Responsabilités

• Develop benchmarks across the peptide discovery lifecycle from target tractability to lead optimization.
• Analyse real-world peptide datasets including SPR/BLI, FP, MS, HDX-MS, NMR data.
• Establish gold-standard answers and evaluation criteria reflecting scientific reasoning.
• Assess AI-generated conclusions for artifacts and misinterpretations.
• Evaluate binding kinetics, site interactions, and developability.
• Identify where AI misinterprets evidence and problematic conclusions.
• Build quantitative workflows in Python or R for enrichment analysis and modelling.
• Collaborate with scientists and engineers to improve benchmarks.

Connaissances

Scientific reasoning

Critical thinking

Data interpretation

Experimental design

Communication

Formation

PhD in peptide chemistry / biochemistry / biophysics / structural biology / medicinal chemistry

Outils

Python

R

Claude

Cursor

Description du poste

AI Biologist – Peptide Discovery (In Partnership with LatchBio)

Full-Time | Remote | United States

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

LatchBio 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 sensorgrams, 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 developability, 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 & Developability:

• Experience with macrocyclization, hydrocarbon stapling, N-methylation, D-amino acids or non-canonical residues.
• Understanding of peptide permeability, proteolytic stability and optimisation.

Additional Requirements:

• Strong experimental design, quantitative data analysis and statistical skills, with proficiency in Python or R.
• Experience analysing experimental data hands-on rather than solely managing or supervising research.
• Regular use of AI tools such as Claude, Cursor or similar, with the ability to identify scientifically incorrect or unsupported AI-generated conclusions.
• Excellent scientific reasoning, critical thinking and confidence in challenging conclusions when the evidence demands it.
• Ability to communicate uncertainty, evaluate conflicting evidence and update scientific judgements when presented with new data.

Why Join LatchBio?

• Frontier AI exposure: Help shape how advanced AI systems are evaluated across medical imaging and clinical research.
• Meaningful scientific impact: Apply your expertise to challenges involving diagnosis, quantification and imaging.
• Scientific ownership: Become the authority setting the standards for how AI agents are evaluated against real-world imaging practice.
• High-growth environment: Work with a company collaborating with leading AI laboratories and pharmaceutical organisations.
• Remote flexibility: Join an internationally distributed team, with LatchBio headquartered in San Francisco.
• Interdisciplinary collaboration: Work alongside scientists and engineers at the intersection of medicine and artificial intelligence.

Location & Working Arrangements

Location: Fully Remote | United States

Employment: Full-Time

LatchBio is headquartered in San Francisco, with the Radiology team being built remotely across international markets.