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.
About the role
Join our Functional Genomics team to analyze Drug‑seq data from high‑throughput chemical and CRISPR perturbation screens that drive mechanism‑of‑action studies and can be used to train AI models. You’ll design and run scalable analyses across thousands of perturbation and cell‑type combinations, turning raw Drug‑seq readouts into robust, reproducible insights. Day to day, you’ll integrate high‑throughput results with pathway / ontology annotations, and deliver crisp summaries and figures to wet‑lab partners and program teams. This role suits someone eager to apply data science and computational biology to high‑throughput datasets, delivering analyses that shape compound selection and spark testable hypotheses.
What you’ll do
The base salary range for this role is $25 hourly. Actual pay within this range will depend on a candidate's skills, expertise, and experience. We also offer company stock awards, a comprehensive benefits package including medical, dental & vision coverage, health spending accounts, voluntary benefits, leave of absence policies, 401(k) program with employer contribution, 8 paid holidays in addition to a full‑week winter shutdown and unlimited Paid Time Off policy.
Return to Office Policy
Ginkgo has implemented a return to office policy effective October 1, 2025 with required in‑office days : Tuesday, Wednesday, Thursday. This policy applies to all employees who live within 50 miles of Ginkgo's offices in Boston, MA, Emeryville, CA and West Sacramento, CA. Biosecurity positions are excluded from this policy.
Equal Employment Opportunity
It is the policy of Ginkgo Bioworks to provide equal employment opportunities to all employees, employment applicants, and EOE disability / vet.
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Computational Biology • Boston, MA, United States