Scientist, AI/ML — Antibody Developability
Ginkgo Bioworks Inc. · California, United States
Posted 14 days ago · $130,600 – $183,800
or apply directly on Ginkgo Bioworks Inc.'s site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 14 days Ginkgo Bioworks Inc.'s roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- Yes 75% of Ginkgo Bioworks Inc.'s roles list one
- Ghost-job risk at Ginkgo Bioworks Inc.
- high 16 stale, 0 reposted of 20 open
- Hiring momentum
- 22 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Ginkgo Bioworks Inc.'s own greenhouse board since 2026-08-03. Full hiring picture for Ginkgo Bioworks Inc..
About this role
The Scientist, AI/ML — Antibody Developability role at Ginkgo Bioworks involves building and benchmarking machine learning models to predict and design antibody developability. The position requires collaboration with high-throughput biophysical platforms and the analysis of both customer and public datasets. Responsibilities include developing predictive models, implementing evaluation frameworks, and ensuring data integrity while disseminating findings through various scientific channels.
- benefits
- 5/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Ginkgo Bioworks Inc. as an employer.
What you need
- 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
Nice to have
- 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
- Exposure to generative sequence modeling, diffusion models, and reward-based steering
- Experience with protein structure prediction (AlphaFold, ABodyBuilder) and surface patch analysis
- Prior engagement with high-throughput experimental design and collaborative data generation
What you get
- Base salary range of $130,600 – $183,800
- Company stock awards
- Comprehensive benefits package including medical, dental & vision coverage
- Health spending accounts
- Voluntary benefits
- Leave of absence policies
Worth weighing
- Role is hybrid based in Boston, MA, with a return to office policy requiring in-office days 5x per week starting October 1, 2025
- No specific mention of remote work flexibility for those outside the Boston area
- Salary range provided but actual pay depends on skills and experience
- Focus on a niche area of antibody developability may limit broader applicability of skills
Summarised from Ginkgo Bioworks Inc.'s posting. Read the full original.
Listed by Ginkgo Bioworks Inc. on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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