# Scientist, AI/ML — Antibody Developability at Ginkgo Bioworks

- Company: Ginkgo Bioworks
- What the company does: Build autonomous labs to accelerate biotech R&D. Program biology like software. Run experiments on our cloud lab or build your own. Trusted by 130+ customers. Backed by SoftBank VF and Felicis.
- Company website: https://www.ginkgo.bio/
- Type: Startups (AI role)
- Level: Mid level
- Location: California, United States
- Work setup: On-site
- Pay: $131K to $184K base salary per year (USD)
- Posted: 2026-09-02
- Apply by: 2026-10-17
- Apply: https://job-boards.greenhouse.io/ginkgobioworks/jobs/5228742007
- Page: https://www.1752.vc/careers/jobs/ginkgo-bioworks-scientist-ai-ml-antibody-developability/

## About the role

Datapoints, Ginkgo Bioworks' Bio × AI data generation platform, is seeking a Scientist to build and benchmark machine learning models that predict and design antibody developability. You will sit between our PROPHET-Ab high-throughput biophysical platform and the models it enables, working with both newly generated customer datasets and the GDPa public dataset series (clinical IgGs, sequence-diverse natural IgGs, bispecifics, VHH-Fcs), cross-format prediction, and generative design campaigns.

## What they're looking for

- Ph.D. in Computational Biology, Bioinformatics, ML, Biophysics, or related quantitative field with emphasis on applied ML
- Proficiency in Python and the scientific computing stack (NumPy, pandas, PyTorch/TensorFlow)
- Demonstrated experience in supervised learning on biological datasets, including expertise in cross-validation and bias mitigation
- Knowledge of protein representations, including PLM embeddings (e.g., ESM, AbLang) and structural featurization
- Ability to analyze biophysical data with respect to signal-to-noise ratios and experimental dynamic range
- Effective communication across multidisciplinary teams and ability to manage concurrent technical objectives

Tags: Datapoints Antibody Developability