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HomeCompaniesGinkgo Bioworks Inc.Automation Scientist Intern, RAC Operations

Automation Scientist Intern, RAC Operations

Ginkgo Bioworks Inc. · Boston, Massachusetts · Remote · Active · $37,700–$53,500 / year · Greenhouse

Job facts

FieldValue
CompanyGinkgo Bioworks Inc.
TitleAutomation Scientist Intern, RAC Operations
Normalized title-
Department / teamRAC Users
LocationBoston, MA, United States
Work modelRemote / Remote
Employment type-
Salary$37,700–$53,500 / year
Statusactive
ATS providerGreenhouse
Posted / first seen2026-01-13 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

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Company jobsActive postings from Ginkgo Bioworks Inc..Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Boston.Open
Department jobsActive postings in RAC Users.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyGinkgo Bioworks Inc.
Sourceaa586d0f-cdc5-4e99-a41e-4c960a513ade
ATS providerGreenhouse

Description

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. The role is based out of Ginkgo’s Boston, MA location and requires regular in-person attendance. About the Role: Ginkgo Bioworks is deploying a massive fleet of Reconfigurable Automation Cells (RACs) —modular, mobile robotic units that snap together like LEGOs to form an autonomous lab. We are looking for an Automation Scientist Intern to be the hands-on force behind this fleet. You will learn how to load, operate, take down, and troubleshoot protocol runs on the most advanced lab automation hardware in the world, pushing our "Nebula" frontier lab towards autonomous operation. Responsibilities: Master the RAC Platform: Learn to operate and maintain a system of Reconfigurable Automation Cells, designed to support a variety of molecular and cell biology scientific workflows. You will queue and submit programmatically-generated protocols, remote monitor for errors and conduct remote and on-site error recovery, with the support of our Apex Support team. Over time, you will advance to modifying or writing new protocols for our RAC Automation system. Learn Biology: You will prepare and onboard reagents and consumables for upcoming molecular and cell biology scientific workflows, execute and monitor such workflows, and take down and offboard used plates from completed workflows. In the process, you will learn how to carefully handle and prepare reagents and consumables for workflows, do basic monitoring and error recovery of runs and safely dispose of used plates from completed workflows. Preferred Qualifications: No college degree necessary but some skills in coding, biology or computational biology required. "Automation-forward" mindset: you love working with lab automation and making robotic systems run smoother. Willingness to do whatever it takes to ensure that existing and new scientific workflows run successfully on our RAC automation system. Bonus (not required): Interest in communications, marketing, social media, and/or short form video About the Role: Ginkgo Bioworks is deploying a massive fleet of Reconfigurable Automation Cells (RACs) —modular, mobile robotic units that snap together like LEGOs to form an autonomous lab. We are looking for an Automation Scientist Intern to be the hands-on force behind this fleet. You will learn how to load, operate, take down, and troubleshoot protocol runs on the most advanced lab automation hardware in the world, pushing our "Nebula" frontier lab towards autonomous operation. Responsibilities: Master the RAC Platform: Learn to operate and maintain a system of Reconfigurable Automation Cells, designed to support a variety of molecular and cell biology scientific workflows. You will queue and submit programmatically-generated protocols, remote monitor for errors and conduct remote and on-site error recovery, with the support of our Apex Support team. Over time, you will advance to modifying or writing new protocols for our RAC Automation system. Learn Biology: You will prepare and onboard reagents and consumables for upcoming molecular and cell biology scientific workflows, execute and monitor such workflows, and take down and offboard used plates from completed workflows. In the process, you will learn how to carefully handle and prepare reagents and consumables for workflows, do basic monitoring and error recovery of runs and safely dispose of used plates from completed workflows. Preferred Qualifications: No college degree necessary but some skills in coding, biology or computational biology required. "Automation-forward" mindset: you love working with lab automation and making robotic systems run smoother. Willingness to do whatever it takes to ensure that existing and new scientific workflows run successfully on our RAC automation system. Bonus (not required): Interest in communications, marketing, social media, and/or short form video The base salary range for this role is $37,700-$53,500. Actual pay within this range will depend on a candidate's skills, expertise, and experience. We also offer a comprehensive benefits package including medical, dental & vision coverage, health spending accounts, voluntary benefits, leave of absence policies, 8 paid holidays in addition to a full-week winter shutdown and unlimited Paid Time Off policy. *It is expected that all Internships are onsite five days a week. It is the policy of Ginkgo Bioworks to provide equal employment opportunities to all employees, employment applicants, and EOE disability/vet. Privacy Notice I understand that I am applying for employment with Ginkgo Bioworks and am being asked to provide information in connection with my application. I further understand that Ginkgo gathers this information through a third-party service provider and that Ginkgo may also use other service providers to assist in the application process. Ginkgo may share my information with such third-party service providers in connection with my application and for the start of employment. Ginkgo will treat my information in accordance with Ginkgo's Privacy Policy . By submitting this job application, I am acknowledging that I have reviewed and agree to Ginkgo's Privacy Policy as well as the privacy policies of the third-party service providers used by Ginkgo's associated with the application process.

Full job record

Job IDce958ee53704a16b210d52f0e92b93bcb839501c
Org ID3da22a99-a07c-4e7f-af89-1e5f4a62e620
Source IDaa586d0f-cdc5-4e99-a41e-4c960a513ade
Board IDaa586d0f-cdc5-4e99-a41e-4c960a513ade
Providergreenhouse
Provider Job Key5022683007
TitleAutomation Scientist Intern, RAC Operations
Normalized Title
Statusactive
Activeyes
Location TextBoston, Massachusetts
DepartmentRAC Users
Team
Employment Type
Workplace Typeremote
Remote Policyremote
CountryUnited States
RegionMA
CityBoston
Salary Rawsalary range for this role is $37,700-$53,500. Actual pay within this range will depend on a candidate's skills, expertise, an
Salary Min37,700
Salary Max53,500
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://job-boards.greenhouse.io/ginkgobioworks/jobs/5022683007
Apply URLhttps://job-boards.greenhouse.io/ginkgobioworks/jobs/5022683007
First Seen At2026-05-29 22:42:18Z
Last Seen At2026-06-06 07:34:42Z
Last Checked At2026-06-06 07:34:42Z
Last Changed At2026-05-29 22:42:18Z
Inactive At
Source Posted At2026-01-13 18:18:33Z
Source Updated At2026-04-01 12:35:30Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=ginkgobioworks/date=2026-06-06/2026-06-06T07-34-42-339Z-308b0ad05b300cc6ae477a25a65655b4fb80d9e350daa9b4026e8b8523f73225.json
Event Fields
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Parsed Structured
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Extensions
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Native Structured
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