AI Biologist – Rare and Progressive Disease

LatchBio

. Contribute to the technical approach for evaluating how AI agents can diagnose, treat, conduct research, and perform target discovery in rare and progressive disease .

Posted 11/5/2026full-timeRemote • California • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates advanced expertise in biological data analysis using Python and/or R, with a strong background in designing and troubleshooting experiments in relevant disease areas. Proven ability to collaborate with interdisciplinary teams to evaluate AI applications in clinical and research settings.

Highest-signal resume keywords

Advanced Degree In BiologyProficiency In PythonHands-On Research ExperienceExpertise In Clinical DiagnosisDeep Scientific Expertise In Rare Genetic Diseases

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Biological Data AnalysisExperimental DesignMethods DesignData VisualizationBenchmark Dataset CreationAnalytical TestingInterpretative AnalysisWet-Lab ExperimentationDry-Lab ExperimentationClinical Research

Soft Skills

CollaborationCommunicationProblem-SolvingStrategic ThinkingInterdisciplinary Teamwork

Industry Keywords

Computational BiologyRare DiseasesNeurodegenerationCOPDMASHAI AgentsBenchmarkingResearch ImpactPublicationsSTEM OPT

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Contribute to the technical approach for evaluating how AI agents can diagnose, treat, conduct research, and perform target discovery in rare and progressive disease
Work with scientists, physician-scientists, software engineers, and computational biologists
Build ground-truth benchmark datasets from studies, professional experience, and novel work
Rigorously test whether AI agents can perform critical analytical and interpretative steps carried out by expert scientists
Help define strategy across multiple biology benchmarks
Start on the benchmark matching the candidate’s expertise and potentially move across teams based on performance
Complete a take-home HackerRank project, technical interview, culture interview, and background check after accepting an offer

Requirements

What you’ll need

Advanced degree (MS/MD/PhD/PharmD) in biology, genetics, physiology, computational biology, or a related biomedical field
3+ years of hands-on research experience in relevant domains, with impact demonstrated through publications or industry experience
Proficiency in Python and/or R for biological data analysis and visualization, or expert-level experience in experimental or methods design
Deep scientific or clinical expertise in at least one relevant disease area, including rare genetic diseases, neurodegeneration, COPD, or MASH
Expertise in designing and troubleshooting relevant wet- or dry-lab experiments, or expertise in clinical diagnosis, treatment, and research
Work authorization requirements vary by location; the company sponsors H-1B, O-1, and TN visas and supports STEM OPT

Benefits

Comp & perks

Company outings most months
Team off-sites
Community activities including cycling, soccer, figure skating, boxing, running, martial arts, music, books, and game nights
Uncapped performance-based pay
First 4 weeks paid at full OTE during training
Full OTE paid when quota cannot fairly apply
Health, dental, and vision insurance: 100% covered for the employee, 50% for dependents (US)
401(k) with no match (US)
PTO: 12 days to start, increasing with promotions (US)
Monthly advance of 60% of OTE for contractors outside the US, never clawed back
Two career-growth tracks: individual contributor and management
OTE increases at each individual-contributor promotion
Catered lunch and dinner and unlimited snacks for onsite employees
H-1B, O-1, and TN visa sponsorship; STEM OPT support
Equity
$10K sign-on bonus if starting within 2 weeks of signing