AI Biologist - Aging & Longevity

latch.bio; San Francisco (CA); Remote; USD 140,000 - 180,000; Full time

Benefits offered by this job

Health, dental, vision: 100% covered

Remote-friendly / office in SF (onsite

Job summary

Latch.bio seeks an AI Biologist to advance aging & longevity research by shaping how AI agents reason like geroscientists. You will design tasks, interpret biomarkers, and drive experiments across aging science and therapeutic discovery.

You will collaborate with a cross-disciplinary team of scientists and engineers to build rigorous benchmarks, analyze omics data, and translate insights into measurable AI performance in aging biology.

Qualifications

• Advanced degree (MS/PhD) in biology, bioinformatics, computational biology, or related field.
• Contribution to published aging biology research (first-author, thesis, or independent project).
• Deep familiarity with AI coding tools.
• Strong scientific writing skills and clarity of thought.
• High agency and initiative.
• Experience using R or Python to analyze scientific data.
• Computational or experimental experience in aging research.

Responsibilities

• Improve AI agents' reasoning to match geroscience experts.
• Build tasks to evaluate aging-specific analysis capabilities and scientific taste.
• Accelerate research across aging and longevity via benchmarks.
• Collaborate with scientists and software engineers on benchmarks.
• Develop, apply, and interpret biomarkers of aging and related analyses.
• Analyze multimodal data and high-throughput screening results.

Skills

Initiative

Clear scientific communication

Problem solving

Interdisciplinary collaboration

Education

MS/PhD in biology or related

Tools

R

Python

AI tooling

Job description

AI Biologist - Aging & Longevity

Latch builds rigorous scientific benchmarks (benchmarks.bio http://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 Aging & Longevity team to help accelerate the discoveries AI can make in aging biology.

About the Role

You will use your scientific expertise to improve the ability of AI agents to reason like expert geroscientists. You will build tasks which evaluate aging-specific analysis capabilities and scientific taste. Your judgment will set the standard AI agents are evaluated against.

In this role, you will help accelerate research across the entire aging and longevity ecosystem.

You will work as part of a team of scientists and software engineers building benchmarks testing capabilities ranging from basic geroscience research to therapeutic discovery and development, including:

- Development, application, and interpretation of biomarkers of aging, such as proteomic and epigenetic clocks

- Design and analysis of experiments related to the Hallmarks of Aging https://www.cell.com/cell/fulltext/S0092-8674(22)01377-0, such as quantification of cellular senescence, identification of stem cell exhaustion, and measurement of genomic instability

- Integration and analysis of diverse data modalities, such as transcriptomics, proteomics, DNA methylation, functional measurements, health records, and imaging data

- Use of high-throughput screening data to discover and prioritize candidate anti-aging drug targets

Requirements

- Advanced degree (MS/PhD) in biology, bioinformatics, computational biology, or a related field

- Contribution to published research in aging biology or an adjacent field (cancer, epigenetics, immunology, etc.), such as a first-author paper, thesis, or independent project.

- Deep familiarity with AI coding tools

- An ability to convey your thoughts clearly and precisely; i.e., strong scientific writing skills

- High agency and initiative

- Demonstrated track record of using R or Python to analyze scientific data

- Deep computational or experimental experience:

- Computational: applying machine learning, data analysis, or statistics to -omics data; methods development; statistical genetics

- Experimental: hands-on wet-lab experience performing experiments and assays relevant to aging research (e.g., sequencing library prep, studies involving model organisms, senescence assays, flow cytometry, cell or organoid culture, in vivo intervention studies)

Strongly preferred

- Industry experience in biotech, tech, or a similar field

- Multiple first-author publications

- Familiarity with frequently used repositories of scientific data, such as: the UK Biobank, TCGA, GEO, ENCODE, etc.

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: full-time W-2

- 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: contractor

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

Growth: two tracks, based on output, not tenure.

- 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.