Ai Biologist - Rare Disease

RiseMe; San Francisco (CA); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

2x daily meals

Waterfront office near Oracle Park

Monthly parking

Team outings and offsites

Job summary

Latch is seeking an AI Biologist to join the Rare Disease team, exploring how AI can aid in diagnostics and research for rare diseases. You will work with genomic, phenotypic, and clinical data, building benchmarks and workflows that translate evidence into patient-centric decisions.

The role emphasizes collaboration with engineers and cross-disciplinary teams, aiming to advance AI-enabled biology in a fast-paced environment.

Qualifications

• Master's, PhD, or equivalent in biology or quantitative field.
• 3+ years hands-on experience in basic or translational research, clinical genomics, rare disease diagnostics, or rare disease therapeutics.
• Deep expertise with therapeutics discovery, biological mechanism, or clinical practice in a subset of rare diseases.
• Experience interpreting data in biological context and identifying confounders, artifacts, and limitations of experiments.
• Proficiency in Python/R for biological data analysis or visualization.

Responsibilities

• Structure, curate, and gain insights from extensive genomic, phenotypic, pedigree, transcriptomic, and longitudinal clinical data.
• Navigate data partnerships.
• Evaluate realistic patient case scenarios spanning the diagnostic journey.
• Partner with software engineers to define and execute new data workflows and benchmarks.

Skills

Python

R

Genomics

Biology

Data interpretation

Education

Master's/PhD in biology or quantitative field

Job description

AI Biologist - Rare Disease

As molecular data generation and frontier model intelligence grows, new approaches to data analysis are needed across the biotech industry.

We're seeking an AI Biologist to join our Rare Disease team to explore the frontier of what AI assistance can enable in rare disease biology.

About the Role

You will contribute to Latch’s benchmarks, strategy, and research on agents that can navigate, diagnose, and aid research toward rare disease. We are especially interested in teaching agents to translate molecular and clinical evidence into decisions with utility for patients, advocacy groups, clinicians, drug developers, and scientists. Some of what you may do on the day to day:

• Structure, curate, and find insights from extensive genomic, phenotypic, pedigree, transcriptomic, and longitudinal clinical data

• Navigate data partnerships

• Evaluate realistic patient case scenarios spanning the diagnostic journey

• Partner with software engineers to define and execute new data workflows and benchmarks

Requirements

• Master's, PhD, or equivalent experience in a relevant biological or quantitative field

• 3+ years hands-on experience in basic or translational research, clinical genomics, rare disease diagnostics, or rare disease therapeutics, ideally as demonstrated through publications or industry work

• Deep expertise with therapeutics discovery, biological mechanism, or clinical practice in a subset of rare diseases

• Experience interpreting data in biological context and identifying confounders, technical artifacts, and limitations of underlying experiments

• Proficiency in Python/R for biological data analysis or visualization

Nice to Have

• Experience with variant interpretation, variant calling, or genomic analysis

• Familiarity with commonly used rare disease knowledge bases and workflows

• Proficiency in AI agent use

Culture @ Latch

How we work. Genuinely flexible schedules - we just ask that you communicate when you're coming in later than usual. We care most about hard work and output. We're respectfully opinionated, it will always be us against problems, not each other. Optimize for each other's time and bring solutions, not just problems. You'll join a bench suited to your expertise, but we value cross-domain learning and interoperability across teams.

The office & perks. Waterfront office near Oracle Park, 2x free daily meals, unlimited snacks, company outings most months, and team offsites. Plus a vibrant community: cycling, soccer, figure skating, boxing, run clubs, reading clubs, martial arts, music, game nights.

Compensation & Logistics

• 1099 (or W8-BEN) contract, 40 hrs/week, no end date

• Fully performance-based pay: $120K-$180K, uncapped upside. 2x quota = 2x pay.

• 2-4 week paid ramp - full OTE from day one

• Remote (globally), hybrid, or onsite in SF (onsite preferred)

• Work authorization: OPT visa holders only (not STEM Extension)

• Onsite perks: 2x free meals/day, waterfront office (China Basin), monthly parking (based on availability)

• Candidates with all of the above qualifications + proven management skills will be eligible for more senior positions

Interview Process

Timeline: We move fast: 8-12 days from submission to offer.

1. Intro Screen - Technical Recruiter

2. Take-Home Project - HackerRank

3. Technical Interview - Member of Technical Staff

4. Culture Interview - C-Suite (If applicable)

5. Offer