Ginkgo Bioworks
Scientist, AI/ML — Antibody Developability
California, United States
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$7,075 more — $137,675 — moves this role to Level IV and 4 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $137,675 would place this position at wage Level IV. That figure is within the posted range, and I'd like to target it. This role classifies under "Operations Research Analysts" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Operations Research Analysts (15-2031) · Bakersfield-Delano, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- Evaluate cross-format transferability (IgG to VHH-Fc, bispecifics) and deploy data-efficient training strategies.
- Disseminate findings through technical reviews, peer-reviewed manuscripts, and external scientific presentations.
- This computational role requires deep understanding of biophysical assay measurements, noise characteristics, and rigorous evaluation strategies for small-scale datasets.
Responsibilities
- Develop and validate predictive models for developability using PLM embeddings, structural features, and physicochemical descriptors.
- Implement leakage-aware evaluation frameworks for rigorous performance assessment of small-scale datasets.
- Perform rigorous QC on biophysical assay data to identify outliers and maintain high data integrity for modeling.
- Maintain and develop automated pipelines to ensure reproducibility and facilitate technical reporting.
Requirements
- Proficiency in Python and the scientific computing stack (NumPy, pandas, PyTorch/TensorFlow).
- 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.
- Familiarity with antibody formats (VHH, scFv), therapeutic developability liabilities, and relevant characterization assays.
- Experience with state of the art supervised techniques such as tabular foundation models.
- Experience with protein structure prediction (AlphaFold, ABodyBuilder) and surface patch analysis.
- Required
- Ph.D. in Computational Biology, Bioinformatics, ML, Biophysics, or related quantitative field with emphasis on applied ML.
- Demonstrated experience in supervised learning on biological datasets, including expertise in cross-validation and bias mitigation.
- Effective communication across multidisciplinary teams and ability to manage concurrent technical objectives.
- Preferred
- Exposure to generative sequence modeling, diffusion models, and reward-based steering.
- Prior engagement with high-throughput experimental design and collaborative data generation.
Skills
- Record of scientific publication and software engineering fundamentals (Git, testing, cloud compute).
Compensation
- The base salary range for this role is $130,600 – $183,800.
Benefits
- 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.
Company info
- Our mission is to make biology easier to engineer.
- Ginkgo is constructing, editing, and redesigning the living world in order to answer the globe's growing challenges in health, energy, food, materials, and more.
- Our bioengineers make use of an in-house automated foundry for designing and building new organisms.
- Scientist, AI/ML - Antibody Developability
- Datapoints Team | Ginkgo Bioworks | Boston, MA
This listing is sourced directly from Ginkgo Bioworks's careers page and normalized into a canonical job model.