AI Biologist - Longevity

LatchBio • San Francisco, CA

12h • $140,000 - $180,000 • Remote

About The Position

Latch builds scientific benchmarks for AI agents across biology and works with frontier labs and pharmaceutical companies to assess agents on real biological workflows. The AI Biologist will join the Longevity team and serve as the scientific authority on ground truth, evaluating whether AI agents can reason like expert aging biologists.

The role focuses on building benchmark tasks from published research and public datasets, beginning with aging biomarkers and the hallmarks of aging. The work includes curating data across molecular and population scales, creating tasks on aging clocks and related biological processes, partnering with software engineers to implement scientific workflows, and adjudicating evidence and uncertainty around longevity claims. The AI Biologist will identify analytical confounds, assess the limits of translating results from model organisms to humans, and evaluate agent reasoning against the standards of peer review and real-world decisions.

The position is full-time for US employees and W-2. Outside the US, the role is offered as a contractor. The role may be fully remote, though onsite work is preferred at Latch’s Mission Bay waterfront office in San Francisco. Compensation is $140,000–$180,000 OTE, with performance-based pay and a four-week ramp paid at full OTE.

Requirements

• Master’s or PhD in biology, bioinformatics, computational biology, or a related field.
• Research experience in aging biology or a field in which aging is studied, such as cancer biology, epigenetics, immunology, metabolism, mitochondrial biology, neurodegeneration, or epidemiology.
• Working knowledge of aging, including the hallmarks of aging, how aging clocks are built, and the distinction between biological and chronological age.
• Depth in at least one of the following: machine learning or statistics on omics data; or hands-on experience generating omics or aging data, such as sequencing, model organisms, senescence assays, or mitochondrial assays.
• Ability to code and carry out analysis end to end in Python or R.
• Work personally driven by the candidate, such as a first-author paper, thesis, or independent project, that they can defend in detail.
• Track record of catching data errors others missed.
• Daily use of AI coding tools and confidence to overrule AI when the evidence demands it.

Nice To Haves

• Published research in aging, geroscience, or longevity.
• Experience building or validating aging clocks, or analyzing lifespan or healthspan data.
• Familiarity with UK Biobank, TCGA, GEO, Tabula Muris Senis, or the NIA Interventions Testing Program.

Responsibilities

• Turn real aging research questions into benchmark tasks and write expert-defensible gold-standard answers.
• Curate data across molecular and population scales, including DNA methylation, transcriptomics, proteomics, single-cell data, longitudinal cohorts, and biobanks.
• Build tasks around aging clocks, biological age prediction, senescence, epigenetic drift, and mitochondrial dysfunction.
• Partner with software engineers to translate scientific judgment into workflows.
• Test whether agents detect confounds such as cell-type composition, batch effects, and age imbalance between groups.
• Evaluate whether agents recognize when findings from worms, mice, or cell models may not translate to human aging.
• Adjudicate contested longevity claims by assessing what the data support, what they do not support, and what evidence would settle the question.
• Challenge reasoning that would not withstand peer review or a go/no-go decision.
• Identify where agents fail, what an expert would do instead, and what evidence would change the assessment.
• Reward calibrated uncertainty rather than confident guesses.

Benefits

• Health, dental, and vision coverage fully covered for the employee and 50% covered for dependents (US only).
• 401(k) with no match (US only).
• 12 days of PTO to start, with more as the employee is promoted.
• Four-week ramp paid at full OTE.
• Full OTE when quota cannot fairly apply, such as during a new project, platform outage, or special project.
• Company outings most months and team off-sites.
• Catered lunch and dinner and unlimited snacks at the San Francisco office.

What This Job Offers

• Job Type: Full-time