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Founding Scientist (Synthetic Genomics)

ExonicResearch
Pay
$120K–$180K
per year
Work mode
On-site
Full Time
Experience
3+ yrs
Mid

San Francisco, CA at a glance

Rent
#2 of 51
$2,680/mo+46% vs US avg
Weather
#17 of 51
295 mild days0 hot · 0 cold
Income tax
#1 of 51
13.3% top rateCalifornia

What you need

Cell biologyMolecular biologyWet labBiology

Exonic Biosciences · Dogpatch, San Francisco

$120K–$180K a year + equity

Exonic is building AI systems for programmable biology.

We train multimodal foundation models on large-scale biological datasets to design synthetic non-coding DNA. We experimentally validate our AI-designed systems in mammalian cells, with current applications in cell-type targeting and viral vector biomanufacturing.

Our core focus is synthetic regulatory DNA. We have already generated strong in vitro cell-type targeting results and are expanding our internal experimental platform in San Francisco.

We are looking for an ambitious experimental scientist to take ownership of Exonic’s wet-lab work and help push the platform into new directions.

You would work directly with the founder as one of the first people in the company.

What you’ll work on

  • Own and execute experimental validation of AI-designed regulatory DNA
  • Design and run cell-based assays for synthetic enhancer and expression systems
  • Help advance programs in cell-type targeting and AAV manufacturing
  • Help shape Exonic’s experimental roadmap as the company grows

Relevant experience

  • Molecular biology, synthetic biology, regulatory genomics, or gene therapy
  • Mammalian cell culture and cell-based assays
  • Cloning, plasmid design, transfection, qPCR/ddPCR, sequencing, flow, luciferase, or related workflows
  • AAV biology/manufacturing experience is a major plus

We care most about ownership, execution speed, and comfort with ambiguity.

This is an early-stage role with autonomy, and the opportunity to build the biological engine of an AI-native synthetic DNA company.

Location: San Francisco / MBC BioLabs

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About Exonic

What if you could train a biological foundation model on... the entire internet? Exonic is pioneering a new generation of biological foundation models, focused on heterogeneous, unstructured, and noisy datasets. Our first application is the design of safer gene therapies. In 2025, we used AI to set a new state of the art in liver cancer targeted gene therapy, validated in vitro in our lab in San Francisco. So far in 2026, we have trained a new model with unprecedented zero-shot generalization on genomic regulatory expression in hold-out biosample datasets. More to be shared soon.

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Founding Scientist (Synthetic Genomics)
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