AI Biologist – Protein Design, Engineering

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🔥 17 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $140k - $180k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🖥 Software Engineer

👻 Ghost score 23%

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LatchBio

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

🧬 Biotechnology

🤖 Artificial Intelligence

☁️ SaaS

💰 $28M Series A - LatchBio on 2022-06

Biotechnology • Artificial Intelligence • SaaS

LatchBio is a biotech-focused software and AI company that builds a modular, enterprise-grade platform to analyze and operationalize complex biological data and deploy frontier AI agents into real scientific workflows. It produces reproducible, Nextflow-based workflows, scalable compute “pods,” file and metadata registries, and white‑labeled analysis portals for solution providers and biopharma/R&D labs. In parallel, LatchBio develops and publishes verifiable benchmarks that evaluate how modern AI agents perform on real-world biological tasks (single‑cell, spatial, epigenomics, preclinical pharmacology, and pathogen genomic surveillance), and has expanded into biosecurity work through the acquisition of TwentyTwo and the formation of Latch Biosecurity. The company’s customers include instrument vendors, biopharma, and academic research organizations.

📋 Description

• Build file-based protein design, binding and engineering tasks with automatic graders • Find and analyze measured data including binder screens, Kd titrations, SPR/BLI, DMS, combinatorial libraries, developability assays and directed-evolution lineages • Write gold-standard answers from raw data using replicate noise and measured hit rates • Write Python pipelines to compute answer keys and validate honest design routes • Build interface tasks covering hotspots, crystal contacts, specificity, and mutation-driven affinity changes • Cover generation, filtering, ranking, combining, reverting, pool triage and competing-objective tradeoffs • Establish performance floors based on tools, single metrics and base hit rates • Read agent reasoning and code step by step to identify scientifically incorrect design decisions • Reward calibrated decisions over confident ones • Build tasks on therapeutics including antibodies, nanobodies, minibinders and enzymes • Test whether agents appropriately decline to design or improve pathogen and toxin proteins

🎯 Requirements

• PhD (or equivalent experience) in protein design, protein engineering, structural biology, biophysics, computational biology or a related field • Hands-on design or engineering in the last ~2 years, with experimental validation of your own designs • Experience with de novo binders or enzymes, antibody engineering, directed evolution, DMS, library design or ML-guided optimization • Working knowledge of protein–protein interfaces, including hotspots, shape and charge complementarity, affinity and specificity, and binding measurement methods • Working knowledge of RFdiffusion, ProteinMPNN, BindCraft, AlphaFold, Boltz, Chai or ESM, including where each tool fails • Deep understanding of at least one property: binding, stability, developability, enzyme activity or immunogenicity • Ability to explain method choices, alternatives and failure modes • Python for analysis of raw screen, binding or design data • Daily use of AI tools and ability to identify scientifically wrong model reasoning or code • Nice to have: end-to-end design campaign experience • Nice to have: antibody–antigen or nanobody work, or interface design for specificity • Nice to have: multi-objective optimization or lab-in-the-loop design • Nice to have: RNA design • Nice to have: experience building benchmarks, evals or grading logic

🏖️ Benefits

• Guaranteed floor (“base salary”) set by your state, paid on the 15th and last day of every month • Health, dental, vision: 100% covered for you, 50% for dependents • 401(k) (no match) • PTO: 15 days to start, more as you’re promoted • First 4 weeks (ramp) paid at full OTE • Full OTE when quota cannot fairly apply • 60% of monthly OTE paid up front as an advance for contractors outside the US • Company outings most months • Team off-sites • Growth opportunities across six individual-contributor levels • Management-track opportunity after first promotion • H-1B, O-1, and TN sponsorship; STEM OPT support • $10K sign-on if starting within 2 weeks of signing • Equity offered

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