Feanix Autopilot combines whole-genome sequencing, DairyComp, EZfeed, milk checks, feed costs, health records, and real farm performance data into one prediction engine that prices every cow on your economics — not the industry average. Backed by Y Combinator.
About the role
Feanix’s main product Autopilot is a farm decision system. It tells dairy farmers what to do with every animal in the herd: which cows to breed and with what semen, which to cull, which to sell, and which heifers are worth raising. Those decisions are driven by herd records, lactation models, farm economics, and genomics, with one aim: making each farm as efficient and profitable as possible. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Several years running scientific or bioinformatics pipelines in production (Nextflow, AWS HealthOmics or Batch, or similar), scheduled, monitored, and depended on by people other than you
- Enough fluency in genomic data to debug it: FASTQ/BAM/VCF, PLINK, imputation (GLIMPSE, Beagle, or similar), and coverage and QC metrics
- Experience building sample tracking, LIMS-like state, or another “where is every item, and why” system
- Strong Python, and comfort with S3-scale data, idempotent pipelines, retries, and alerting
- Cost awareness with large data: storage lifecycle and compute spend per unit
- A track record of working alongside scientists, translating methods into reliable systems and asking good questions about them
More about this role
Feanix is rebuilding animal breeding from the genome up.
We’re a YC-backed startup using whole-genome sequencing and custom ML models to help dairy farmers make better breeding and herd management decisions. Our technology is genuinely novel: we can sequence a full genome from a single hair at a fraction of traditional industry costs, our models achieve ~90% prediction accuracy on traits where existing approaches sit closer to ~30%, and we’re pioneering farm-specific genomic predictions that turn genetics into practical, actionable decisions.
That technology is translating into real adoption. In a short time, we’ve grown to serve roughly 1% of the U.S. dairy industry, with many customers in the pipeline. We started with dairy because our founders grew up on dairy farms and understand firsthand the problems we’re solving. But genetics is foundational to every agricultural industry, and dairy is only the beginning.
We’re building Feanix with a small, high-caliber team where people have meaningful ownership and work end to end. There are no unnecessary layers and very little room for busywork — just difficult problems at the intersection of biology, data, and software that haven’t...
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