10+ years in biotech/pharma with functional genomics experience
Experience as a buyer of discovery data-generation services
PhD in genomics or related field with expertise in perturbation biology
Direct experience with arrayed screening and high-content imaging
Strong understanding of wetlab methods to lead a scientific team
Commercially minded with P&L interest
Entrepreneurial spirit suited for fast-paced environments
Responsibilities
Define go-to-market strategy for the Multiomics Datapoints division
Set scientific direction for arrayed perturbation platform and multiomic readouts
Lead and mentor a multidisciplinary team of scientists and engineers
Represent the company at major conferences and cultivate community initiatives
Partner with Government Affairs to secure large-scale funding programs
Scale the automated arrayed perturbation-and-readout platform
Shape data generation to serve AI/ML model training
Benefits
Work in an innovative, fast-paced environment
Opportunity for professional growth and development
Access to cutting-edge technology and platforms
Collaboration with a multidisciplinary team of experts
Engagement in community initiatives and thought leadership
Participate in high-impact projects aimed at advancing genomics and drug discovery
Full Job Description
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
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 re9sume9 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).
