AI Biologics - Immunology

LatchBio; United States; Remote; USD 140,000 - 180,000; Full time

Benefits offered by this job

Health, dental, vision 100% for you

401(k) (no match)

Fully remote acceptable; SF office for

Job summary

LatchBio is seeking an AI Biologist to join the Immunology team. You will be the scientific authority on ground truth, testing whether agents can reason like an expert immunologist. You’ll build tasks and datasets behind benchmarks and defend calls in lab-style reviews.

You’ll curate real immunology data, write gold-standard answers, and set tolerances for variability across donor data, assays, and gating. This role blends biology with AI testing in a fully remote or SF-office setting.

Qualifications

• PhD in immunology, vaccinology, or a related field.
• Deep expertise in at least one: vaccine development, T/B cell or innate immune biology, autoimmunity, cancer immunology, inflammation, or immune cell engineering.
• Experience analyzing immune data (FlowJo, R, Python) and interpreting results.

Responsibilities

• Turn immunology workflows into tasks with clear, gold-standard answers.
• Write gold-standard answers from raw data with realistic donor and assay variability.
• Curate data from flow and spectral cytometry, single-cell, CITE-seq, TCR/BCR repertoires, and cytokine panels.

Skills

Vaccine development

T/B cell biology

Innate immune biology

Autoimmunity

Cancer immunology

Inflammation

Immune cell engineering

Education

PhD in immunology, vaccinology, or related field

Tools

FlowJo

R

Python

Job description

AI Biologics - Immunology

Latch builds rigorous scientific benchmarks ( benchmarks.bio ) for AI agents across biology. We work with frontier labs and pharma to measure whether agents can handle real biological workflows: the messy, multi-layer reasoning that matters in the field.

We’re seeking an AI Biologist to join our Immunology team, pushing what AI can achieve in immune biology and vaccine development.

About the Role. You will be the scientific authority on ground truth, testing whether agents can reason like an expert immunologist. AI agents today struggle to interpret raw immune data, separate real biology from gating and batch artifacts, and make calls an expert would defend in a lab meeting or program review. You’ll work with scientists and engineers to build the tasks and datasets behind our benchmarks, and your judgment will set the standard agent outputs are held to.

Build the task

• Turn real immunology workflows into tasks with clear answers: 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 that reflect real donor, assay, and gating variability
• Curate data: flow and spectral cytometry, single-cell and CITE-seq, TCR/BCR repertoires, cytokine panels, serology and neutralization titers, ELISpot

Set the hard calls

• Test whether agents can tell real biology from artifact: a doublet or spillover “population,” a batch effect, a clonal expansion that’s really sampling depth
• Test whether agents separate immunogenicity from protection, activation from exhaustion, and mouse findings from human relevance

Judge the agent

• Challenge conclusions that sound right but wouldn’t survive expert review
• Pinpoint where agents go wrong, what an expert would do instead, and what evidence would change the call
• Reward explicit uncertainty over confident guesses

Requirements

• PhD in immunology, vaccinology, or a related field
• Deep expertise in at least one: vaccine development, T/B cell or innate immune biology, autoimmunity, cancer immunology, inflammation, or immune cell engineering, shown through peer-reviewed work or industry programs
• You’ve analyzed immune data yourself (FlowJo, R, Python, or similar). You don’t need to be a programmer
• Industry experience preferred
• Use of Claude, ChatGPT, or similar, with the judgment to spot answers that are technically correct but scientifically wrong
• Strong domain confidence to overrule an AI agent, and openness to update when shown wrong

Culture @ Latch

We practice radical transparency: you’ll know how the company is doing, what’s working, and what isn’t. It’s always us against the problem, never each other. We’re opinionated but respectful of each other’s time, and we think through possible solutions before bringing a problem to anyone. We use AI constantly, so we reward original expert judgment, not AI output passed off as your own. You’ll start on the bench that fits your expertise and can move across teams as you build a track record.

Outside of work

company outings most months, team off-sites, and a community that does cycling, soccer, figure skating, boxing, running, martial arts, music, books, and game nights.

Compensation & Logistics

Pay: $140K–$180K OTE (on-target earnings), with no ceiling.

• Your pay is your OTE times your weekly quota attainment. Hit quota, earn your OTE; double it, earn double. Example: $150K OTE at double quota = $300K.
• Your first 4 weeks (ramp) are paid at full OTE while we train you.
• You’re paid full OTE whenever quota can’t fairly apply: when a new project is starting, the platform goes down, or we pull you onto a special project.

In the US

• Guaranteed base set by your state, paid every paycheck no matter what
• Health, dental, vision: 100% covered for you, 50% for dependents
• 401(k) (no match)
• PTO: 12 days to start, more as you’re promoted

Outside the US

• Paid on performance, with a monthly advance of 60% of OTE that’s never clawed back. US benefits don’t apply.

Growth

• Individual contributor: six levels, so up to five promotions, with OTE rising at each one.
• Management: after your first promotion, you can move into managing a pod if that’s what you want.

Location

fully remote is fine; onsite is preferred, at our Mission Bay waterfront office in SF with catered lunch and dinner and unlimited snacks.

Work authorization

we sponsor H-1B (new and transfers), O-1, and TN, and support STEM OPT.

Interview Process

• Apply. If your profile matches, we’ll send you a take-home project.
• Take-home project (HackerRank). We review it as soon as it arrives.
• Technical interview with a Member of Technical Staff (pod lead), scheduled right after your project review.
• Culture interview with our C-suite.
• Offer.
• Background check, once you accept.

Compensation

On Target Earnings (OTE) $140K – $180K Offers Equity Uncapped OTE: double your output, double your pay. $10K sign-on if you start within 2 weeks of signing.

Uncapped OTE: double your output, double your pay. $10K sign-on if you start within 2 weeks of signing.