Scientist, AI/ML — Antibody Developability

Ginkgo BioworksCalifornia, United StatesDatapoints Antibody Developability

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Opens the official Ginkgo Bioworks careers page

Salary

$130,600 - $183,800 USD

Job type

Full-time

Posted

2 Sept 2026

Status

Open · checked 7d ago

About this role

Role Overview

Ginkgo Bioworks Inc. is hiring a hybrid Scientist for its AI/ML Antibody Developability role located in Boston, Massachusetts. This computational position suits a recent PhD graduate specializing in applied machine learning and protein biophysics who wants to drive integrated experimental and computational design.

Key Responsibilities

Build and validate predictive models for developability by utilizing structural features, physicochemical descriptors, and protein language model embeddings.

Implement leakage-aware evaluation frameworks to ensure rigorous performance assessments across small-scale datasets.

Assess cross-format transferability between formats like IgGs and VHH-Fcs while deploying data-efficient training techniques.

Execute strict quality control measures on biophysical assay measurements to eliminate outliers and preserve high data integrity.

Create and maintain automated computational pipelines that support reproducibility and technical reporting.

Share research discoveries through peer-reviewed manuscripts, technical reviews, and external scientific presentations.

Requirements

Hold a PhD degree in Machine Learning, Computational Biology, Bioinformatics, Biophysics, or a closely related quantitative discipline focusing on applied machine learning.

Demonstrate strong programming proficiency in Python alongside the scientific computing ecosystem including pandas, NumPy, PyTorch, and TensorFlow.

Possess proven practical experience executing supervised learning tasks on biological data, featuring skills in bias mitigation and cross-validation.

Understand protein representations such as structural featurization and protein language model embeddings like ESM or AbLang.

Interpret biophysical data by evaluating experimental dynamic ranges and signal-to-noise ratios.

Communicate effectively within multidisciplinary teams while successfully balancing concurrent technical goals.

Nice to Have

Recognize therapeutic developability liabilities, relevant characterization assays, and antibody formats such as scFv and VHH.

Utilize cutting-edge supervised methodologies including tabular foundation models.

Apply generative sequence modeling, reward-based steering, and diffusion models.

Perform protein structure prediction and surface patch analysis via tools like AlphaFold and ABodyBuilder.

Bring previous involvement in high-throughput experimental design and collaborative data generation.

Exhibit a history of scientific publications alongside software engineering competencies involving Git, cloud computing, and testing.

Skills and Tools

Python

PyTorch

TensorFlow

NumPy

Pandas

Protein Language Model Embeddings (ESM, AbLang)

Git and Cloud Compute

Salary and Benefits

The base salary range for this position spans from $130,600 to $183,800 per year, with final compensation depending on a candidate's specific expertise, skills, and experience. Ginkgo Bioworks provides company stock awards and a comprehensive benefits package featuring medical, dental, and vision insurance, health spending accounts, voluntary insurance options, and leave of absence policies. Additional perks include a 401(k) program with employer matching contributions, eight paid holidays, an annual full-week winter shutdown, and an unlimited Paid Time Off policy.

About the Company

Ginkgo Bioworks Inc. operates on the mission to make biology easier to engineer by constructing, editing, and redesigning the living world to tackle global challenges in health, energy, food, and materials. The organization utilizes an in-house automated foundry to design and build novel organisms. Ginkgo enforces a return-to-office policy requiring employees residing within 50 miles of company offices in Boston, MA, Emeryville, CA, and West Sacramento, CA to work on-site five days a week.

How to Apply

Interested candidates should review the official Ginkgo Bioworks careers page and submit their application directly through the company website.

Skills and tech stack

Python PyTorch TensorFlow

Questions candidates ask

What is the salary range for the Scientist, AI/ML — Antibody Developability role?

The base salary range for this position is $130,600 to $183,800 per year, determined by the candidate's skills, expertise, and experience.

Where is this position located?

This role is based in Boston, Massachusetts, operating on a hybrid schedule under Ginkgo's office-return policy.

What qualifications are required for applicants?

Applicants must have a PhD in Computational Biology, Bioinformatics, Machine Learning, Biophysics, or a related quantitative field, along with proficiency in Python, PyTorch or TensorFlow, and supervised learning experience on biological datasets.

What benefits does Ginkgo Bioworks offer?

Benefits include company stock awards, medical, dental, and vision coverage, health spending accounts, a 401(k) program with employer contributions, leave policies, eight paid holidays, a winter shutdown week, and unlimited Paid Time Off.

What are the in-office attendance expectations?

Ginkgo requires employees living within 50 miles of their offices in Boston, MA, Emeryville, CA, and West Sacramento, CA to work in the office five times per week.

Ready to apply?

The application is on the official Ginkgo Bioworks careers page.

Apply on company site