Ginkgo Bioworks

Engineer III, ADME

Boston, Massachusetts$90k–$140kmidAdded today

About this role

Ginkgo is seeking an experienced ADME engineer to develop and execute in vitro drug absorption, distribution, metabolism, and excretion assays at scale. You'll optimize high-throughput workflows, perform LC-MS/MS-based analysis, troubleshoot complex assays, and collaborate across teams to support compound progression in their modernized drug discovery platform.

What you'll do

Execute and optimize in vitro ADME assays including solubility, permeability, protein binding, microsomal/hepatocyte stability, and CYP inhibition/induction
Perform sample preparation and LC-MS/MS analysis for high-throughput studies with metabolomics-informed workflow contributions
Transition manual assay methods into automation-enabled, higher-throughput workflows using liquid handlers and related instrumentation
Analyze ADME data, interpret pharmacokinetic parameters, and communicate results to medicinal chemistry and project teams
Troubleshoot assay, instrument, and workflow issues to improve robustness, throughput, and data quality
Maintain laboratory records, SOPs, and electronic notebooks; develop documentation for reproducible workflow execution

What they're looking for

In vitro ADME assay design and execution
LC-MS/MS and high-throughput mass spectrometry analysis
Metabolomics workflows and metabolite identification
Laboratory automation and semi-automated instrumentation
Data analysis and interpretation of pharmacokinetic parameters
Assay troubleshooting and optimization
Scientific documentation and SOP development
Cross-functional collaboration and communication

Benefits

Opportunity to work on next-generation drug discovery platform
Hands-on technical role with clear experimental impact
Collaboration with high-caliber team across ADME, automation, and analytics
Located in Boston, Massachusetts biotech hub

Likely interview questions

Describe your experience developing or optimizing in vitro ADME assays—which ones have you worked with and what challenges did you troubleshoot?
Walk us through a time you transferred a manual assay method into an automated or semi-automated workflow—what were the key considerations?

How have you used LC-MS/MS or metabolomics data to inform decision-making in drug discovery, and how do you interpret complex mass spec readouts?
Tell us about a situation where assay data quality was poor or inconsistent—how did you identify root causes and improve robustness?
How do you approach documenting and standardizing workflows so they can be executed reproducibly by other team members?
Describe your experience working across teams (chemistry, analytics, data, automation) in a fast-paced environment—how do you communicate progress and manage priorities?
What experience do you have with metabolomics-informed workflows or metabolite identification, and how would you apply it to ADME profiling?

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