Ai Biologist - Rare Disease
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 8h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 6d ago
The date the source published, not the day we noticed it (2026-09-24). Last seen at its source 4h ago.
We have tracked this listing since 25 Sep 2026 (6 days). The employer's own board has carried it every time we have read it, most recently 4 hours ago.
Is it remote?
San Francisco or Remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
San Francisco
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $102.5k–130k/yr
Middle 50% of 1095 listings that do state pay — Healthcare · all levels · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
ashby employer's own board first seen 6d ago · last seen 4h ago
The listing
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.
Intro Screen - Technical Recruiter
Take-Home Project - HackerRank
Technical Interview - Member of Technical Staff
Culture Interview - C-Suite (If applicable)
Offer