Ginkgo Bioworks Visa Sponsorship Jobs USA
Ginkgo Bioworks is a synthetic biology company pushing the boundaries of what cells can do, from drug development to industrial biotechnology. For visa holders in life sciences and biotech, it has an established sponsorship track record, making it a worthwhile target for H-1B visa and OPT candidates with technical backgrounds.
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Get Access To All JobsINTRODUCTION
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.
Senior Director, Multiomics – Ginkgo Datapoints
Level (Sr. Director) will be set to match the successful candidate's experience.
Location: Boston, MA (Seaport / HQ)
Reporting to: General Manager, Ginkgo Datapoints
Focus: Scientific Excellence, Commercial Strategy (P&L), Functional Genomics, Arrayed Perturbation Response Profiling & Multiomic Platform Expansion
The Opportunity
Ginkgo Datapoints defines the category of the Bio × AI data provider. We work with top pharma, biotech, tech, and techbio companies, and we've built our reputation on high-quality, large-scale, reproducible data generated by automation rather than by hand. We're a fee-for-service partner — our customers own their data, and our incentives are aligned with theirs.
As our Senior Director of Multiomics, you will own the vision, execution, and commercial success of our Multiomics business, including the functional genomics engine behind our Perturbation Response Profiling and Specialized HTS offerings. This is a genuinely intrapreneurial role: you operate at the frontier of business and science, report to the GM of Datapoints, and lead a multidisciplinary team of scientists, automation engineers, and bioinformaticians with GS&A support.
Your Mission
Your primary goal is to scale our arrayed multiomic perturbation platform into the best in the industry, and to own the full P&L for the vertical. The near-term growth thesis is clear:
Find new applications for DRUG-seq — safety first. Expand our high-throughput transcriptomic screening into new use cases, with safety and predictive toxicology chief among them.
Turn perturbation data into AI fuel. Position our datasets as the training substrate for the next generation of AI/ML models, and shape data generation specifically to serve model training.
Round out the readout menu. Extend beyond transcriptomics and imaging into proteomics, metabolomics, and additional NGS methods that complete a true multiomic offering.
Build products the industry doesn't have yet. Add new offerings to the portfolio — arrayed whole-genome CRISPR knockouts paired with rich multiomic readouts among them — and the drug-discovery power that kind of capability unlocks.
The role is anchored in discovery-stage functional genomics, with real room to extend our multiomic work into translational and clinical biomarkers — population-scale and direct-to-consumer rather than regulated diagnostics. If that's the work that excites you most, there's a home for it here.
Key Responsibilities
Commercial & P&L Ownership: Define the go-to-market strategy for Multiomics Datapoints. Identify market gaps, set pricing for our high-value / low-cost-per-datapoint model, and own revenue growth and operational efficiency across a customer base that spans large pharma, biotech, and government.
Technical Vision & Roadmap: Set the scientific direction across our arrayed perturbation platform and multiomic readouts — DRUG-seq (high-throughput transcriptomics), high-content imaging and Cell Painting (morphological profiling), and CRISPR-edit verification — across arrayed chemical, genetic (CRISPR KO / CRISPRi), and siRNA / ASO modalities. Drive the expansion agenda above: new DRUG-seq applications (especially safety), data purpose-built for AI/ML training, new readouts (proteomics, metabolomics, additional NGS), and new products such as arrayed whole-genome CRISPR knockouts.
Strategic Team Leadership: Lead and mentor a multidisciplinary team of roughly 10–15. Because Datapoints runs a central operations matrix, day-to-day task assignment flows through shared ops structures; your job is to set direction, develop the team, and bridge the gap between industrialized wetlab automation and computational/AI interpretation. A practical understanding of wetlab methods — assay development, cell culture, perturbation delivery — is essential, so that you can lead the experimental team credibly even if your own background is computational.
External Presence & Thought Leadership: Serve as the face of Ginkgo's Multiomics business. Represent the company at major conferences (e.g., the Festival of Genomics), publish and present our science, and cultivate community around initiatives like the Virtual Cell Pharmacology Initiative (VCPI). Lend scientific credibility to sales and BD conversations, and open doors by connecting the commercial team with relevant contacts across your network.
Government & Grant Strategy: Partner with Government Affairs to shape and win large-scale programs (ARPA-H, BARDA, DARPA, NIH). Our ARPA-H CATALYST program — building an in-silico ADME-Tox and dosage-prediction platform aimed at reducing reliance on animal models — is exactly the kind of safety-focused flagship you'll help drive.
Build the Best-in-Industry Arrayed Multiomics Engine: Lead the continued scale-up of our automated arrayed perturbation-and-readout platform — transcriptomics, imaging, edit verification, and new omic layers — with integrated QC and AI analytics pipelines, to produce high-fidelity, AI-ready datasets faster and at greater scale than traditional labs.
The Profile
We need a functional genomics leader who is bored with the status quo of "traditional" discovery. You should have deep respect for the craft of science, but a relentless dissatisfaction with its current speed and cost. You possess the rare combination of deep scientific intuition and a builder's ambition for scale — and you're as comfortable in a customer conversation as in a data review.
Ideally, you've lived on the buy side. You've been an active buyer of discovery, CRO, or data-generation services, and you know firsthand where they fall short. Now you want to move to the sell side to build the offering you always wished you could buy — and give the industry something genuinely new.
Required Qualifications
Deep Industry Expertise: 10+ years in high-growth biotech or large pharma with a proven track record in functional genomics and discovery research. (We weigh hands-on industry R&D leadership more heavily than a purely academic track record.)
Buyer's Perspective: You have been an active buyer of discovery / CRO / data-generation services (or led teams that were), and you're motivated to build, on the sell side, something you wished existed as a customer.
Scientific Credibility: PhD (or equivalent experience) in genomics, molecular biology, computational biology, systems biology, or a related field. You are a recognized expert in perturbation biology or modeling and the discovery cascade.
Perturbation Depth: Direct experience with arrayed chemical and/or genetic screening (CRISPR KO / CRISPRi), transcriptomic profiling, and high-content imaging.
Computational Strength with Wetlab Command: A strongly computational profile is very welcome — even ideal. What's essential is a firm, practical understanding of wetlab methods, so you can lead the experimental team credibly.
Commercial Interest & Drive: You're excited to own the commercial side of a business — pricing, growth, and turning technical capability into customer value. Prior P&L experience is a plus, but the appetite matters more than the résumé line; we're happy to help you grow into it.
* The "Ginkgo Mindset": You are an entrepreneur at heart. You thrive in fast-paced, high-stakes environments and are genuinely excited by the vision of a best-in-industry arrayed multiomics platform and the new products it can offer — arrayed whole-genome CRISPR knockouts among them.
Preferred Qualifications
Translational and clinical biomarkers: experience — or a real passion for — biomarker work in population-scale or direct-to-consumer settings (rather than regulated diagnostics).
Multiomic expansion expertise: proteomics, metabolomics, or additional NGS methods that would round out the offering.
AI/ML or automation — ideally both: strength on either axis is a real asset. On the AI/ML side, experience using perturbation data to train models (MOA classification, perturbation embeddings, virtual-cell / gene-expression prediction). On the automation side, familiarity with how industrialized lab automation generates data at scale. Neither is required on its own, but candidates who bring both will stand out.
Track record of contributing to commercial growth through scientific credibility, partnerships, or network relationships.
Experience shaping or winning government / consortium grants.
Established presence in the multiomics community (publications, speaking engagements, advisory roles).
Why Ginkgo Datapoints?
Ginkgo has invested over $1 billion in automation infrastructure. We have some of the world's most advanced automated labs, and we are now making that power available to the world through Datapoints. This can't just be a job — you will be a driver of how the next generation of biology gets discovered.
COMPENSATION
- Salary Range: $183,000–$290,000
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.
Ginkgo has implemented a full-time onsite work policy requiring employees to work in the office five (5) days per week. This policy applies to all employees who live within 50 miles of Ginkgo's offices in Boston, MA, Emeryville, CA, and West Sacramento, CA. Candidates will be informed of this onsite requirement during the interview process.
Ginkgo Datapoints is an equal opportunity employer. We source, evaluate, and hire candidates without regard to sex, gender, race, age, disability, or any other protected characteristic. We especially welcome applications from people who are underrepresented in scientific leadership.
INTRODUCTION
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.
Senior Director, Multiomics – Ginkgo Datapoints
Level (Sr. Director) will be set to match the successful candidate's experience.
Location: Boston, MA (Seaport / HQ)
Reporting to: General Manager, Ginkgo Datapoints
Focus: Scientific Excellence, Commercial Strategy (P&L), Functional Genomics, Arrayed Perturbation Response Profiling & Multiomic Platform Expansion
The Opportunity
Ginkgo Datapoints defines the category of the Bio × AI data provider. We work with top pharma, biotech, tech, and techbio companies, and we've built our reputation on high-quality, large-scale, reproducible data generated by automation rather than by hand. We're a fee-for-service partner — our customers own their data, and our incentives are aligned with theirs.
As our Senior Director of Multiomics, you will own the vision, execution, and commercial success of our Multiomics business, including the functional genomics engine behind our Perturbation Response Profiling and Specialized HTS offerings. This is a genuinely intrapreneurial role: you operate at the frontier of business and science, report to the GM of Datapoints, and lead a multidisciplinary team of scientists, automation engineers, and bioinformaticians with GS&A support.
Your Mission
Your primary goal is to scale our arrayed multiomic perturbation platform into the best in the industry, and to own the full P&L for the vertical. The near-term growth thesis is clear:
Find new applications for DRUG-seq — safety first. Expand our high-throughput transcriptomic screening into new use cases, with safety and predictive toxicology chief among them.
Turn perturbation data into AI fuel. Position our datasets as the training substrate for the next generation of AI/ML models, and shape data generation specifically to serve model training.
Round out the readout menu. Extend beyond transcriptomics and imaging into proteomics, metabolomics, and additional NGS methods that complete a true multiomic offering.
Build products the industry doesn't have yet. Add new offerings to the portfolio — arrayed whole-genome CRISPR knockouts paired with rich multiomic readouts among them — and the drug-discovery power that kind of capability unlocks.
The role is anchored in discovery-stage functional genomics, with real room to extend our multiomic work into translational and clinical biomarkers — population-scale and direct-to-consumer rather than regulated diagnostics. If that's the work that excites you most, there's a home for it here.
Key Responsibilities
Commercial & P&L Ownership: Define the go-to-market strategy for Multiomics Datapoints. Identify market gaps, set pricing for our high-value / low-cost-per-datapoint model, and own revenue growth and operational efficiency across a customer base that spans large pharma, biotech, and government.
Technical Vision & Roadmap: Set the scientific direction across our arrayed perturbation platform and multiomic readouts — DRUG-seq (high-throughput transcriptomics), high-content imaging and Cell Painting (morphological profiling), and CRISPR-edit verification — across arrayed chemical, genetic (CRISPR KO / CRISPRi), and siRNA / ASO modalities. Drive the expansion agenda above: new DRUG-seq applications (especially safety), data purpose-built for AI/ML training, new readouts (proteomics, metabolomics, additional NGS), and new products such as arrayed whole-genome CRISPR knockouts.
Strategic Team Leadership: Lead and mentor a multidisciplinary team of roughly 10–15. Because Datapoints runs a central operations matrix, day-to-day task assignment flows through shared ops structures; your job is to set direction, develop the team, and bridge the gap between industrialized wetlab automation and computational/AI interpretation. A practical understanding of wetlab methods — assay development, cell culture, perturbation delivery — is essential, so that you can lead the experimental team credibly even if your own background is computational.
External Presence & Thought Leadership: Serve as the face of Ginkgo's Multiomics business. Represent the company at major conferences (e.g., the Festival of Genomics), publish and present our science, and cultivate community around initiatives like the Virtual Cell Pharmacology Initiative (VCPI). Lend scientific credibility to sales and BD conversations, and open doors by connecting the commercial team with relevant contacts across your network.
Government & Grant Strategy: Partner with Government Affairs to shape and win large-scale programs (ARPA-H, BARDA, DARPA, NIH). Our ARPA-H CATALYST program — building an in-silico ADME-Tox and dosage-prediction platform aimed at reducing reliance on animal models — is exactly the kind of safety-focused flagship you'll help drive.
Build the Best-in-Industry Arrayed Multiomics Engine: Lead the continued scale-up of our automated arrayed perturbation-and-readout platform — transcriptomics, imaging, edit verification, and new omic layers — with integrated QC and AI analytics pipelines, to produce high-fidelity, AI-ready datasets faster and at greater scale than traditional labs.
The Profile
We need a functional genomics leader who is bored with the status quo of "traditional" discovery. You should have deep respect for the craft of science, but a relentless dissatisfaction with its current speed and cost. You possess the rare combination of deep scientific intuition and a builder's ambition for scale — and you're as comfortable in a customer conversation as in a data review.
Ideally, you've lived on the buy side. You've been an active buyer of discovery, CRO, or data-generation services, and you know firsthand where they fall short. Now you want to move to the sell side to build the offering you always wished you could buy — and give the industry something genuinely new.
Required Qualifications
Deep Industry Expertise: 10+ years in high-growth biotech or large pharma with a proven track record in functional genomics and discovery research. (We weigh hands-on industry R&D leadership more heavily than a purely academic track record.)
Buyer's Perspective: You have been an active buyer of discovery / CRO / data-generation services (or led teams that were), and you're motivated to build, on the sell side, something you wished existed as a customer.
Scientific Credibility: PhD (or equivalent experience) in genomics, molecular biology, computational biology, systems biology, or a related field. You are a recognized expert in perturbation biology or modeling and the discovery cascade.
Perturbation Depth: Direct experience with arrayed chemical and/or genetic screening (CRISPR KO / CRISPRi), transcriptomic profiling, and high-content imaging.
Computational Strength with Wetlab Command: A strongly computational profile is very welcome — even ideal. What's essential is a firm, practical understanding of wetlab methods, so you can lead the experimental team credibly.
Commercial Interest & Drive: You're excited to own the commercial side of a business — pricing, growth, and turning technical capability into customer value. Prior P&L experience is a plus, but the appetite matters more than the résumé line; we're happy to help you grow into it.
* The "Ginkgo Mindset": You are an entrepreneur at heart. You thrive in fast-paced, high-stakes environments and are genuinely excited by the vision of a best-in-industry arrayed multiomics platform and the new products it can offer — arrayed whole-genome CRISPR knockouts among them.
Preferred Qualifications
Translational and clinical biomarkers: experience — or a real passion for — biomarker work in population-scale or direct-to-consumer settings (rather than regulated diagnostics).
Multiomic expansion expertise: proteomics, metabolomics, or additional NGS methods that would round out the offering.
AI/ML or automation — ideally both: strength on either axis is a real asset. On the AI/ML side, experience using perturbation data to train models (MOA classification, perturbation embeddings, virtual-cell / gene-expression prediction). On the automation side, familiarity with how industrialized lab automation generates data at scale. Neither is required on its own, but candidates who bring both will stand out.
Track record of contributing to commercial growth through scientific credibility, partnerships, or network relationships.
Experience shaping or winning government / consortium grants.
Established presence in the multiomics community (publications, speaking engagements, advisory roles).
Why Ginkgo Datapoints?
Ginkgo has invested over $1 billion in automation infrastructure. We have some of the world's most advanced automated labs, and we are now making that power available to the world through Datapoints. This can't just be a job — you will be a driver of how the next generation of biology gets discovered.
COMPENSATION
- Salary Range: $183,000–$290,000
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.
Ginkgo has implemented a full-time onsite work policy requiring employees to work in the office five (5) days per week. This policy applies to all employees who live within 50 miles of Ginkgo's offices in Boston, MA, Emeryville, CA, and West Sacramento, CA. Candidates will be informed of this onsite requirement during the interview process.
Ginkgo Datapoints is an equal opportunity employer. We source, evaluate, and hire candidates without regard to sex, gender, race, age, disability, or any other protected characteristic. We especially welcome applications from people who are underrepresented in scientific leadership.
Job Roles at Ginkgo Bioworks
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Get Access To All JobsTips for Finding Ginkgo Bioworks Visa Sponsorship Jobs USA
Lead with your technical specialization
Ginkgo Bioworks hires deeply specialized scientists and engineers. When applying, make your niche clear, whether it's strain engineering, bioinformatics, or fermentation development. Specialty occupation roles in biotech are where their sponsorship history is strongest.
Target roles that align with H-1B specialty occupation criteria
Ginkgo Bioworks sponsors H-1B visas for roles requiring a direct connection between your degree field and the job. Focus on positions where your academic background maps precisely to the role, not adjacent or generalist functions.
OPT and CPT are real entry points here
Ginkgo Bioworks has a history of sponsoring F-1 OPT and CPT, making it accessible to recent STEM graduates. If you're on OPT, applying before your authorization window closes gives you the best shot at a sponsored transition.
Canadian nationals should flag TN eligibility early
Ginkgo Bioworks sponsors TN visas, which is significant for Canadian biotech professionals. If you qualify under a TN-eligible occupation like biologist or chemist, mention your TN eligibility in your application, it simplifies the process for employers.
Research their active programs before applying
Ginkgo Bioworks operates across multiple platform areas including biosecurity, agriculture, and pharma. Understanding which program aligns with your background helps you target the right team. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history and find open roles efficiently.
Engage with Ginkgo's scientific output before interviews
Ginkgo Bioworks is a research-driven company with published work and a strong public presence in synthetic biology. Demonstrating familiarity with their platform technology and published research signals genuine interest and technical depth during interviews.
Frequently Asked Questions
Does Ginkgo Bioworks sponsor H-1B visas?
Yes, Ginkgo Bioworks sponsors H-1B visas. Their sponsorship activity is concentrated in technical and scientific roles where a specific degree field is directly required, consistent with the H-1B specialty occupation standard. Candidates in life sciences, bioengineering, bioinformatics, and related disciplines are the most common fit for sponsored positions at Ginkgo.
What visa types does Ginkgo Bioworks sponsor?
Ginkgo Bioworks sponsors H-1B visas, F-1 OPT, F-1 CPT, and TN visas. This range makes them accessible to international students on STEM OPT, new graduates entering through CPT, and Canadian professionals in TN-eligible scientific occupations. Green Card sponsorship is not part of their current documented track record.
Which departments or roles at Ginkgo Bioworks are most likely to be sponsored?
Sponsored roles at Ginkgo Bioworks tend to sit within their core scientific and engineering functions, think strain engineering, computational biology, automation engineering, and platform development. These are areas where specialized degree requirements are clear, making H-1B qualification more straightforward. Business, operations, and generalist roles are less commonly sponsored.
How do I find open sponsored roles at Ginkgo Bioworks?
Migrate Mate is the most direct way to find visa-sponsored openings at Ginkgo Bioworks. Unlike general job boards, Migrate Mate filters by verified sponsorship history, so you can see roles where employers have an established record of sponsoring the visa type you need, saving time and avoiding dead ends during your job search.
How do I time my application to Ginkgo Bioworks around H-1B deadlines?
H-1B petitions must be filed with USCIS by April 1 for an October 1 start date, meaning you'd need an offer in hand by late February or early March at the latest. If you're on OPT, cap-gap protection can bridge the gap. Start your outreach to Ginkgo Bioworks several months ahead to allow time for their internal hiring process before the filing window opens.