Isomorphic Laboratories applies advanced AI to accelerate and improve drug discovery, enabling researchers to design molecules and predict their performance earlier in development. The company builds on AlphaFold and deep learning models to model biological systems, generate candidate therapeutics, and simulate compound behavior. It operates as an AI-first drug discovery platform focused on strategic research collaborations with pharmaceutical companies, biotech firms, and CROs. Core technologies include machine learning, deep learning, and AlphaFold-derived protein-structure modeling. Isomorphic targets the biopharma market to shorten discovery timelines and increase predictive accuracy for therapeutic development.
Isomorphic Laboratories applies advanced AI to accelerate and improve drug discovery, enabling researchers to design molecules and predict their performance earlier in development. The company builds on AlphaFold and deep learning models to model biological systems, generate candidate therapeutics, and simulate compound behavior. It operates as an AI-first drug discovery platform focused on strategic research collaborations with pharmaceutical companies, biotech firms, and CROs. Core technologies include machine learning, deep learning, and AlphaFold-derived protein-structure modeling. Isomorphic targets the biopharma market to shorten discovery timelines and increase predictive accuracy for therapeutic development.
Core focus: AI-driven drug discovery using AlphaFold-derived protein modeling
Notable partnerships: Eli Lilly, Novartis, Johnson & Johnson
Major external funding: $600M led by Thrive Capital (Mar 31, 2025)
Company Overview
Problem Domain
Early-stage therapeutic discovery and candidate design/prioritization
Founded
2021
Industry
Biotechnology Research
Tech Stack
Google Cloud
Google Cloud Storage
Google Cloud Global Multi-Region
Funding Track Record
First external funding round- 2025-03-31
600000000
Participation from GV and follow-on capital from Alphabet
Investor Signal
“Led by Thrive Capital with participation from GV and follow-on capital from Alphabet”
Founders
What we do
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Join the Team
Senior Engineering Manager
On-SiteLondon, GB
On-Site • London, GB
Who you are
Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.
Technical Writer
Part-timeLondon, GB
Part-time • London, GB
Machine Learning Engineer
Part-timeTel Aviv
Part-time • Tel Aviv
Backend Developer
Part-timeManchester, GB
Part-time • Manchester, GB
Data Scientist
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Contract • Rotterdam, NL
Data Scientist
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Contract • Austin, US
DevOps Engineer
ContractManchester, GB
Contract • Manchester, GB
This is a highly influential role that requires a blend of deep technical expertise, strong leadership capabilities, and a passion for fostering a high-performance engineering culture
Experience in software engineering, with a significant portion focused on ML infrastructure, platform, or site reliability engineering
Demonstrated experience in a leadership role, managing multiple engineering teams and managers
Deep understanding of distributed systems, cloud architectures (AWS, Azure, GCP), and modern infrastructure technologies
Proven experience with running horizontal Platform Engineering teams
Strong background in Site Reliability Engineering (SRE) principles and practices, including incident management, observability, performance optimization, and automation
Familiarity with data infrastructure and systems supporting machine learning/prediction models
Excellent communication, interpersonal, and presentation skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences
Demonstrated ability to attract, hire, retain, and develop top engineering talent
Strategic thinker with a proven ability to define and execute complex technical roadmaps
Strong problem-solving skills and a data-driven approach to decision-making
Bachelor's or Master's degree in Computer Science, Engineering, or a related field
Experience in a high-growth, fast-paced environment
Experience building and scaling infrastructure for Biotech, Life science ADD
What the job involves
Reporting directly to the Head of Engineering, you will be responsible for the strategic direction, execution, and operational excellence of our Platform teams, which are enabling training and serving of the largest foundations models in biotech
These teams include Technical Infrastructure, Machine Learning Platform, Site Reliability team and Developer Experience for Research
Your work has the potential to accelerate cutting edge research in the drug design space
Define and execute the long-term vision and strategy for our foundational infrastructure, aligning with company goals and anticipating future needs
Lead, mentor, and inspire a diverse team of engineering managers and individual contributors across multiple disciplines (ML Platform, Tech Infrastructure, SRE). Foster a culture of innovation, collaboration, continuous learning, and accountability
Oversee the development and evolution of our core platform, ensuring it provides robust, scalable, and developer-friendly services for all engineering teams. This includes aspects like service mesh, container orchestration, CI/CD pipelines, and internal tooling
Lead the teams responsible for building and maintaining the underlying systems that power our user-facing applications, focusing on performance, reliability, and seamless user experiences
Guide the development and operation of the infrastructure supporting our prediction models, ensuring high availability, low latency, and efficient data processing for machine learning initiatives
Drive the strategy and execution for our core technical infrastructure, including networking, compute, storage, and data centers (on-prem and/or cloud). Optimize for cost, performance, and security
Champion and embed SRE principles across the organization. Oversee the SRE team responsible for ensuring the reliability, scalability, and performance of our critical systems through proactive monitoring, incident management, and automation
Establish and enforce best practices for infrastructure operations, including monitoring, alerting, capacity planning, disaster recovery, and security. Drive continuous improvement in system stability and uptime
Partner closely with product engineering teams, security, data science, and other stakeholders to understand their needs and deliver foundational solutions that accelerate product development and innovation
Evaluate and manage relationships with key internal partners to ensure optimal value and performance
Manage the budget for the Foundations Engineering organization, optimizing resource allocation and identifying cost-saving opportunities
