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Immunology

Job not on LinkedIn

🔥 2 minutes ago

🏄 California – Remote

infoinfo

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

Where this job comes from

Posted on LatchBio's careers page, not through a job board

First seen by Remote Rocketship 2 minutes ago

Logo of LatchBio

LatchBio

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

• Serve as the scientific authority on ground truth for immunology benchmarks • Test whether AI agents can reason like expert immunologists • Turn real immunology workflows into tasks with clear answers, including immune profiling, vaccine immunogenicity, T- and B-cell responses, inflammation and autoimmunity readouts, and immune cell engineering • Write gold-standard answers from raw data with tolerances reflecting donor, assay, and gating variability • Curate flow and spectral cytometry, single-cell and CITE-seq, TCR/BCR repertoires, cytokine panels, serology and neutralization titers, and ELISpot data • Distinguish real biology from doublets, spillover populations, batch effects, and sampling-depth artifacts • Evaluate immunogenicity versus protection, activation versus exhaustion, and mouse findings versus human relevance • Challenge AI conclusions that would not survive expert review • Identify where agents fail, what an expert would do instead, and what evidence would change the conclusion • Reward explicit uncertainty over confident guesses • Collaborate with scientists and engineers to build benchmark tasks and datasets • Start on a team aligned with expertise and potentially move across teams based on performance

🎯 Requirements

• PhD in immunology, vaccinology, or a related field • Deep expertise in at least one of: vaccine development, T/B cell or innate immune biology, autoimmunity, cancer immunology, inflammation, or immune cell engineering, demonstrated through peer-reviewed work or industry programs • Experience personally analyzing immune data using FlowJo, R, Python, or similar • Industry experience preferred • Experience using Claude, ChatGPT, or similar, with judgment to identify technically correct but scientifically wrong answers • Strong domain confidence to overrule an AI agent and openness to update when shown wrong • For US employment: eligibility for full-time W-2 employment • Work authorization support available through H-1B, O-1, TN, and STEM OPT sponsorship

🏖️ Benefits

• $10K sign-on if you start within 2 weeks of signing • Equity • First 4 weeks (ramp) paid at full OTE while training • Full OTE paid whenever quota cannot fairly apply • Health, dental, and vision insurance: 100% covered for you, 50% for dependents (US employees) • 401(k) with no match (US employees) • PTO: 12 days to start, increasing with promotions (US employees) • Monthly advance of 60% of OTE, never clawed back (contractors outside the US) • Uncapped performance-based pay • Two career growth tracks: individual contributor and management • Company outings most months • Team off-sites • Catered lunch and dinner and unlimited snacks at the San Francisco office

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