Ginkgo Bioworks
Senior Director, Multiomics
Boston, Massachusetts · Director · Full-time
Sponsorship not specified$183k-$290kDetected 65 days ago
Machine LearningPharmacologyBioinformaticsCRISPRMolecular BiologyNGSCell CultureAnimal ModelsLeadership
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odds of building a lasting career here
59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
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About the role
- 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.
- Find new applications for DRUG-seq - safety first.
Responsibilities
- 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.
- 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
- 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.
- 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.
Requirements
- 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.
- The "Ginkgo Mindset": You are an entrepreneur at heart.
- You've been an active buyer of discovery, CRO, or data-generation services, and you know firsthand where they fall short.
Nice to have
- 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.
- 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).
Compensation
- The base salary range for this role is $183,000–$290,000.
Company info
- Our mission is to make biology easier to engineer.
- We have some of the world's most advanced automated labs, and we are now making that power available to the world through Datapoints.
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This listing is sourced directly from Ginkgo Bioworks's careers page and normalized into a canonical job model.