We are looking for a highly skilled Front End Engineer to create exceptional user experiences for our cutting-edge biology platform. You will join an interdisciplinary team of machine learners, protein engineers and biologists, jointly working to change the way that we control biology and cure diseases. In your role, you will craft delightful, intuitive interfaces that make complex biological data accessible and engaging, contributing to ground breaking science through exceptional user experience design.

At Latent Labs, we are building frontier models that learn the fundamentals of biology. We pursue ambitious goals with curiosity and are committed to scientific excellence. Before building Latent Labs, our team co-developed DeepMind's Nobel-prize winning AlphaFold, invented latent diffusion, and built pioneering lab data management systems as well as high throughput protein screening platforms. At Latent Labs you will be working with some of the brightest minds in generative AI and biology.

Our team is committed to interdisciplinary exchange, continuous learning and collaboration. Team offsites help us foster a culture of trust across our London and San Francisco sites.

We're looking for innovators passionate about tackling complex challenges and maximizing positive global impact. Join us on our moonshot mission.

• You are a frontend specialist with expertise in TypeScript and JavaScript
• You are passionate about creating delightful user experiences and have a proven track record of building beautiful, responsive, and performant web applications
• You have deep expertise with modern frontend frameworks, understanding their inner workings and best practices
• You excel at UI/UX design implementation experience, creating pixel-perfect, accessible interfaces
• You have a solid understanding of HTTP protocols, REST APIs, websockets, and DOM manipulation
• You understand web security best practices and frontend authentication patterns
• You have an eye for design and track record of creating intuitive and innovative interfaces
• You're obsessed with creating smooth, fast user experiences and know how to optimize frontend performance

• 3D rendering expertise: You have hands-on experience with WebGL and creating immersive 3D web experiences
• Scientific visualization background: You've built interfaces for molecular or protein visualisation and understand the unique challenges of scientific data presentation
• Design systems: You have experience building and maintaining component libraries and design systems

• Craft delightful user experiences: Create the most graphically stunning and intuitive web interfaces for protein and biological data visualization
• Build responsive, performant UIs: Develop front-end components that handle complex scientific data while maintaining excellent performance
• Technical leadership: Lead our front end architecture and have a strong level of influence over technology. Our current stack is React, Tailwind, NextJS, Kubernetes and AWS.
• Component architecture: Design and maintain reusable UI components and frontend architecture
• Frontend performance optimization: Ensure lightning-fast load times and smooth interactions across all user interfaces
• Cross-browser compatibility: Ensure consistent experiences across different browsers and devices
• User experience testing: Write and maintain frontend tests, including unit tests and end-to-end user journey testing
• Collaborate on design: Work closely with science teams to translate complex biological concepts into intuitive user interfaces

We offer strongly competitive compensation and benefits packages, including:

• Private health insurance
• Pension/401(K) contributions
• Generous leave policies (including gender neutral parental leave)
• Hybrid working
• Travel opportunities and more

We also offer a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models.

We welcome applicants from all backgrounds and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.

To apply, please fill in our application form.

We are looking for a highly skilled Software Engineer to build the robust, scalable infrastructure powering our biology platform. You will join an interdisciplinary team of machine learners, protein engineers and biologists, jointly working to change the way that we control biology and cure diseases. In your role, you will architect and maintain the systems that process complex biological data, serve machine learning models, and ensure reliable platform performance at scale.

At Latent Labs, we are building frontier models that learn the fundamentals of biology. We pursue ambitious goals with curiosity and are committed to scientific excellence. Before building Latent Labs, our team co-developed DeepMind's Nobel-prize winning AlphaFold, invented latent diffusion, and built pioneering lab data management systems as well as high throughput protein screening platforms. At Latent Labs you will be working with some of the brightest minds in generative AI and biology.

Our team is committed to interdisciplinary exchange, continuous learning and collaboration. Team offsites help us foster a culture of trust across our London and San Francisco sites.

We're looking for innovators passionate about tackling complex challenges and maximizing positive global impact. Join us on our moonshot mission.

• You are a backend specialist with deep expertise in architecting distributed applications.
• You have a solid understanding of Python and hands-on experience with Kubernetes and AWS services
• You understand web and service authentication, security best practices, and building secure APIs
• You have solid knowledge of HTTP protocols, REST APIs, and websockets for real-time communication
• You're experienced in database management, from design to optimization.

• MLOps and model serving expertise: You have experience with ML serving infrastructure and understand the unique challenges of serving machine learning models at scale
• High-performance computing: You understand the computational demands of biological and scientific workloads
• Data pipeline architecture: You've built robust data processing pipelines for large-scale scientific data
• Cloud infrastructure: Deep experience with AWS services and cloud-native application development
• Scientific computing background: Familiarity with the computational requirements of biological research and protein analysis

• Backend architecture: Develop and own all backend components of our platform, ensuring scalability and reliability
• Database mastery: Own and manage all aspects of our databases, from schema design to optimization, warehousing, and analytics
• Performance optimization: Optimize performance across the entire backend, ensuring efficient messaging, database queries, caches and horizontal scaling.
• Infrastructure management: Deploy and maintain distributed applications in Kubernetes and AWS
• System reliability: Write scalable and fault tolerant applications. Ensure reliability through comprehensive tests
• DevOps collaboration: Work closely with DevOps teams on deployments and infrastructure management
• Ensuring observability at scale: Instrument complex distributed applications to allow real-time monitoring, debugging, and performance optimization across microservices, enabling rapid incident detection and resolution
• Technical debt management: Address technical debt and refactor code for long-term maintainability

We offer strongly competitive compensation and benefits packages, including:

• Private health insurance
• Pension/401(K) contributions
• Generous leave policies (including gender neutral parental leave)
• Hybrid working
• Travel opportunities and more

We also offer a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models.

We welcome applicants from all backgrounds and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.

To apply, please fill in our application form.

We are looking for a technically adept Customer Success Manager to bolster our team and ensure the robust health, dependability, and progressive advancement of our platform ecosystem. You will collaborate with external users of our platform, and our internal team of machine learning scientists, protein engineers, and biologists. This role entails comprehensive ownership across the partner-facing aspects of our platform, driving adoption of new features, optimising performance for partner integrations, and developing roadmaps for internal feature development.

At Latent Labs, we are building frontier models that learn the fundamentals of biology. We pursue ambitious goals with curiosity and are committed to scientific excellence. Before building Latent Labs, our team co-developed DeepMind’s Nobel-prize winning AlphaFold, invented latent diffusion, and built pioneering lab data management systems as well as high throughput protein screening platforms. At Latent Labs you will be working with some of the brightest minds in generative AI and biology.

Our team is committed to interdisciplinary exchange, continuous learning and collaboration. Team offsites help us foster a culture of trust across our London and San Francisco sites.

We’re looking for innovators passionate about tackling complex challenges and maximizing positive global impact. Join us on our moonshot mission.

• You have a strong understanding of SaaS platforms and the ability to troubleshoot customer issues.
• You hold a bachelors degree or above in CS, engineering, ML or biology OR equivalent industry experience in a technical role
• You hold excellent written and verbal communication skills to effectively communicate technical and biological concepts to partners.
• You are a natural relationship builder, building and maintaining strong relationships with partners, and to work effectively with cross-functional teams.
• You are strong with analysing data, identifying trends, and developing strategies for improving partner performance, such as triaging feature requests and contributing to internal product roadmaps.
• You have the ability to adapt to changing partner needs and to learn new technologies quickly.

You have a background in biology and a keen understanding of AI solutions for life sciences and pharma

• Partner Onboarding and Adoption: Guiding partners through the initial stages of using the technology solution, ensuring they understand how to integrate it effectively and achieve desired outcomes.
• Technical Support and Troubleshooting: Responding to partner inquiries, addressing technical issues, and escalating complex problems to the appropriate internal teams.
• Product Development: Collect user feedback and triage feature requests, working with our internal team to develop roadmaps for future releases.,
• Configuration and Optimization: Helping partners configure and optimise their use of our platform to maximise its value.
• Relationship Management: Building and maintaining strong relationships with partners, acting as a trusted advisor and ensuring their needs are met.
• Performance Monitoring and Reporting: Tracking partner adoption rates, identifying areas for improvement, and reporting on key performance indicators (KPIs).
• Driving Business Growth: Working with partners to identify opportunities for growth and expansion, and to increase the overall value of the partnership.
• Training and Documentation: Creating and delivering training materials and documentation to ensure partners are well-equipped to use the technology solution effectively.
• You represent Latent Labs at key industry events spanning AI, biotechnology, and pharmaceuticals, including conferences and forums. Actively engage with prominent thought leaders to maintain a strong understanding of the evolving landscape of AI-driven drug discovery.
• Foster connections within the wider AI and biotech ecosystems, establishing Latent Labs as a respected voice in the field. Build a community by developing and nurturing relationships with academic researchers, AI experts, and other significant figures in the drug discovery sector.

We offer strongly competitive compensation and benefits packages, including:

• Private health insurance
• Pension/401(K) contributions
• Generous leave policies (including gender neutral parental leave)
• Hybrid working
• Travel opportunities and more

We also offer a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models.

We welcome applicants from all backgrounds and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.

To apply, please fill in our application form.

We are looking for a highly skilled Member of Technical Staff to lead the development of cutting-edge workflows. You will build autonomous systems that can navigate complex scientific tasks entirely through natural language conversation. In your role, you will architect and deploy reasoning systems that democratise access to breakthrough synthetic biology tools, enabling researchers worldwide to leverage our frontier models through intuitive chat interfaces.

At Latent Labs, we are building frontier models that learn the fundamentals of biology. We pursue ambitious goals with curiosity and are committed to scientific excellence. Before building Latent Labs, our team co-developed DeepMind’s Nobel-prize winning AlphaFold, invented latent diffusion, and built pioneering lab data management systems as well as high throughput protein screening platforms. At Latent Labs you will be working with some of the brightest minds in generative AI and biology.

Our team is committed to interdisciplinary exchange, continuous learning and collaboration. Team offsites help us foster a culture of trust across our London and San Francisco sites.

We’re looking for innovators passionate about tackling complex challenges and maximizing positive global impact. Join us on our moonshot mission.

• You are a strong software engineer with deep experience in Python, API design, and distributed systems architecture.
• You are an expert in LLM orchestration. You have hands-on experience with LLM APIs (OpenAI, Anthropic, etc.) and orchestration frameworks like LangChain, LlamaIndex, or have built custom agent frameworks from scratch.
• You understand intelligent information retrieval. You have experience with RAG (Retrieval-Augmented Generation) systems, vector databases, and embedding models for knowledge extraction.
• You can architect complex workflows. You have experience with workflow orchestration tools (Airflow, Prefect, Temporal) or have built custom pipeline systems for multi-step autonomous processes.
• You bridge science and engineering. You are comfortable with scientific computing libraries (NumPy, SciPy, pandas) and understand scientific literature formats, databases (PubMed, arXiv), and academic data processing.

• You have a research background. You are a former academic researcher who transitioned to industry ML/AI roles, or a research software engineer with deep ML/AI experience.
• You're passionate about scientific automation. You have experience with document processing, OCR, text extraction from academic papers, and scientific data formats.
• You understand the research ecosystem. You have worked in academic or pharmaceutical research environments and understand research workflows and publishing processes.
• You're a multimodal specialist. You have a background in natural language processing, particularly for scientific text processing and citation networks.

• Build autonomous scientific agents that can execute complex research workflows through natural language interaction—from protein structure analysis to experimental design.
• Architect end-to-end reasoning systems that integrate our platform capabilities with intelligent decision-making, enabling users to accomplish sophisticated tasks through simple chat interfaces.
• Develop knowledge discovery pipelines that can autonomously mine scientific literature, identify undrugged disease pathways, and propose novel therapeutic targets.
• Create scientific content at scale by building agents that can design experiments, generate hypotheses, and produce research-grade articles and blog posts.
• Pioneer autonomous lab workflows by developing agents that can design complex biological systems (like protein-based logic gates) and orchestrate their validation.
• Collaborate with scientists to understand research pain points and translate them into intelligent automation solutions.
• Publish and evangelise breakthrough applications of agentic workflows in synthetic biology through articles, blog posts, and scientific demonstrations.

We offer strongly competitive compensation and benefits packages, including:

• Private health insurance
• Pension/401(K) contributions
• Generous leave policies (including gender neutral parental leave)
• Hybrid working
• Travel opportunities and more

We also offer a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models.

We welcome applicants from all backgrounds and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.

To apply, please fill in our application form.

We are seeking a Computational Protein Design Scientist to join our team working at the interface of generative AI and synthetic biology. You will play a key role amongst a team of scientists designing and engineering proteins for specific functions. This is an opportunity to help shape and grow an organization that advances artificial intelligence and applies it to longstanding scientific challenges. Using your blend of computational expertise and in-depth biochemical understanding of proteins, you will generate insights to improve protein functionality and operate at the interface between our machine learning and experimental platform units, working closely to seamlessly integrate AI generations and lab validation data.

At Latent Labs, we are building frontier models that learn the fundamentals of biology. We pursue ambitious goals with curiosity and are committed to scientific excellence. Before building Latent Labs, our team co-developed DeepMind’s Nobel-prize winning AlphaFold, invented latent diffusion, and built pioneering lab data management systems as well as high throughput protein screening platforms. At Latent Labs you will be working with some of the brightest minds in generative AI and biology.

Our team is committed to interdisciplinary exchange, continuous learning and collaboration. Team offsites help us foster a culture of trust across our London and San Francisco sites.

We’re looking for innovators passionate about tackling complex challenges and maximizing positive global impact. Join us on our moonshot mission.

• You are a computational protein designer. You have a proven track record of successfully leveraging novel computational tools and knowledge of biochemistry or structural biology to design proteins to functional requirements and applications in synthetic biology.
• You are a data scientist. You are a strong data scientist and you have experience owning data-driven projects to generate biological insights.
• You are a successful scientist. You have a PhD (or equivalent industry experience) in computational biology, bioinformatics, computer science, biochemistry, structural biology, physics, biophysics, bio/chem engineering, or a related field. Your research experience was in protein biochemistry using computational expertise.
• You collaborate with experimentalists. You have experience collaborating with experimental (i.e. wet lab) teams to achieve protein design objectives.
• You are an owner. You have a proven track record of delivering successful commercial and / or academic research projects, demonstrated through publications, patents, and/or commercially impactful outcomes, as well as other contributions to the scientific community.
• You are a connector. You love to connect people and enable them to perform at their highest levels. You have excellent communication and presentation skills with the ability to convey complex scientific concepts to both technical and non-technical audiences.
• You are a mission driven innovator. You are passionate about making a positive impact on the world, whether it's for patients, partners or beyond. You are motivated by the end goal and are flexible in adapting to different approaches and methodologies.
• You thrive in a dynamic and ambiguous environment. You excel in a fast-paced setting where goals must be achieved efficiently and urgently. You have a keen eye for creating, then optimizing processes to improve speed and repeatability. You are an advocate for lab automation, both through hardware and software

• You have experience with generative AI. You have experience leveraging generative AI (or other machine learning models) in synthetic biology applications.
• You have experience engineering gene editing tools, such as nucleases and integrases.
• You have experience with homology-based and structural bioinformatics, and are able to answer scientific questions using very large databases.
• You have helped scale a young biotech before. You have worked in startups and helped the company grow.

• Leverage our proprietary generative AI models to design proteins for experimental validation:
  • Analyze protein design problems based on functional requirements, biochemistry, structural biology and sequence homology
  • Generate designs using our proprietary generative AI models and optimize designs for experimental validation
  • Coordinate with our lab-based protein engineers to plan and optimize the design process and validation strategy
• Leverage our proprietary data to improve our models:
  • Analyze and leverage our experimental results to improve the next round of designs and increase our success rate over validation rounds
  • Collaborate with machine learning scientists to fine-tune and prompt our models
• Collaboration and communication:
  • Be an effective interface between machine learning model development and experimental validation
  • Capture bioengineering learnings and feedback to our machine learning unit, and vice versa
  • Foster a collaborative and innovative environment, proactively finding opportunities to innovate and create clarity and alignment between different units
• Contribute to our computational tools:
  • Help improve the way we use, serve and integrate our AI models, by feeding back to the software engineers and foundational machine learning unit
  • Help improve our data management systems and workflows
• Scientific excellence and self development:
  • Work to the highest scientific standards (publication-grade work)
    Stay on top of relevant developments in synthetic biology
  • Continue building your understanding of generative AI as well as expanded areas of protein and cell biology
  • Participate in knowledge sharing, e.g. organize and present at our internal reading group.
  • Attend and present at conferences when relevant

We offer strongly competitive compensation and benefits packages, including:

• Private health insurance
• Pension/401(K) contributions
• Generous leave policies (including gender neutral parental leave)
• Hybrid working
• Travel opportunities and more

We also offer a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models.

We welcome applicants from all backgrounds and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.

To apply, please fill in our application form.

We are looking for a Member of Technical Staff who is skilled in computational biology and in machine learning. You will join an interdisciplinary team of machine learners, protein engineers and biologists, jointly working to change the way that we control biology and cure diseases. This is an opportunity to help shape and grow an organization that advances artificial intelligence and applies it to longstanding scientific challenges. In your role you will evaluate, apply and refine our proprietary generative models with the goal of designing new proteins that are functional in wet lab assays.

At Latent Labs, we are building frontier models that learn the fundamentals of biology. We pursue ambitious goals with curiosity and are committed to scientific excellence. Before building Latent Labs, our team co-developed DeepMind’s Nobel-prize winning AlphaFold, invented latent diffusion, and built pioneering lab data management systems as well as high throughput protein screening platforms. At Latent Labs you will be working with some of the brightest minds in generative AI and biology.

Our team is committed to interdisciplinary exchange, continuous learning and collaboration. Team offsites help us foster a culture of trust across our London and San Francisco sites.

We’re looking for innovators passionate about tackling complex challenges and maximizing positive global impact. Join us on our moonshot mission.

• You are a scientific programmer. You have worked on notable science simulations or machine learning based projects, as documented by your contributions to widely used open source libraries, significant product launches or high impact publications, e.g. at NeurIPS, ICML, ICLR or Nature venues.
• You are a successful scientist. You have a PhD (or equivalent industry experience) in computational biology, bioinformatics, computer science, biochemistry, structural biology, physics, biophysics, bio/chem engineering, synthetic biology or a related field.
• You are an experienced molecular data analyst. As a data analyst, you use techniques from statistics, molecular dynamics and molecular visualization to generate insights on biomolecular problems.
• You are a skilful developer. You write software that is robust, tested and easy to maintain. You have experience using version control and code review systems. You are a fast prototyper and hacker who can also write beautiful production-quality code.
• You are an owner. You have a proven track record of delivering successful commercial and / or academic research projects, demonstrated through publications, patents, and/or commercially impactful outcomes, as well as other contributions to the scientific community.
• You are mission driven and curious. You are passionate about making a positive impact on the world, whether it's for patients, customers or beyond. You are motivated by the end goal and are flexible in adapting to different approaches and methodologies. You are curious about problems, however small or big they appear.
• You thrive in a dynamic environment. You work well in a fast-paced setting where goals must be achieved efficiently and urgently.

• You have experience in protein design and bioinformatics. You have worked on ML-driven projects in biology or conducted large scale bioinformatics analysis.
• You have a natural science background. You are academically trained in physics, biology, chemistry or other related fields.
• You have helped scale a young biotech before. You have worked in startups and helped the company grow.

• Evaluate the capabilities of our proprietary generative AI models:
  • Design evaluation strategies and benchmarks to continuously evaluate the performance progress of our models.
  • Lead deep-dives on select biological and therapeutic applications. Use your insights to identify opportunities and risks.
  • Compare our generative models against external technologies.
  • Closely collaborate with machine learners, protein designers, and biologists to ensure the technical and biological relevance of our model evaluations. Feed back results via regular meetings and presentations.
  • Incorporate and automate relevant evaluation strategies into our model training workflows.
• Use your insights to help improve our models:
  • Leverage your analytical results to guide model performance improvements.
    Collaborate in a joint codebase with other research scientists, engineers and protein designers, maintaining highest code standards.
  • Implement and test ideas for model improvements, including finetuning on our own wet lab data and new architectural ideas or model features.
• Improve the way we apply our models:
  • Use evaluation metrics to automatically optimize the way we apply our models, e.g. by identifying optimal sampling techniques and hyperparameters.
• Self development:
  • Stay on top of the latest developments in ML.
  • Gain a strong working understanding of protein and cell biology.
  • Participate in knowledge sharing, e.g. organize and present at our internal reading group.
  • Attend and present at conferences when relevant.

We offer strongly competitive compensation and benefits packages, including:

• Private health insurance
• Pension/401(K) contributions
• Generous leave policies (including gender neutral parental leave)
• Hybrid working
• Travel opportunities and more

We also offer a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models.

We welcome applicants from all backgrounds and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.

To apply, please fill in our application form.

We are looking for a highly skilled machine learning researcher with significant experience in generative modeling. You will join an interdisciplinary team of machine learners, protein engineers and biologists, jointly working to change the way that we control biology and cure diseases. In your role you will architect novel generative models with the goal of designing new proteins that are functional in wet lab assays.

At Latent Labs, we are building frontier models that learn the fundamentals of biology. We pursue ambitious goals with curiosity and are committed to scientific excellence. Before building Latent Labs, our team co-developed DeepMind’s Nobel-prize winning AlphaFold, invented latent diffusion, and built pioneering lab data management systems as well as high throughput protein screening platforms. At Latent Labs you will be working with some of the brightest minds in generative AI and biology.

Our team is committed to interdisciplinary exchange, continuous learning and collaboration. Team offsites help us foster a culture of trust across our London and San Francisco sites.

We’re looking for innovators passionate about tackling complex challenges and maximizing positive global impact. Join us on our moonshot mission.

• You are a strong ML researcher with experience in generative modeling. You have led or worked on notable machine learning projects, as documented by your contributions to widely used open source libraries, significant product launches or high impact publications, e.g. at NeurIPS, ICML, ICLR or Nature venues. You have a proven track record of deep expertise in generative modeling.
• You are a skillful ML developer. You write ML code that is robust, tested and easy to maintain. You have experience using version control and code review systems. You are a fast prototyper and hacker who can also write beautiful production code. You have experience running training and inference on cloud hardware, parallelizing data and models across accelerators.
• You are a data engineer. You have experience building ML data pipelines for the training and evaluation of deep learning models. You are able to analyze the raw data, construct appropriate dataset splits and build pipelines that perform and scale.
• You are passionate about model performance. You have an intricate understanding of how ML libraries interplay with hardware and data and love to optimize deep learning models for training / inference speed. You have a deep knowledge of best principles and tricks in architecting deep learning models and use it to optimize how they perform on validation metrics.
• You are mission driven and curious. You are passionate about making a positive impact on the world, whether it's for patients, customers or beyond. You are motivated by the end goal and are flexible in adapting to different approaches and methodologies. You are curious about problems, however small or big they appear.
  You thrive in a dynamic environment. You work well in a fast-paced setting where goals must be achieved efficiently and urgently.

• You have experience in computational biology or protein design. You have worked on ML-driven projects in biology.
• You have a natural science background. You are academically trained in physics, biology, chemistry or other related fields.

• Build machine learning models that work in the physical world [~90% of your time]:
  • Contribute to a careful curation of our training and evaluation data.
  • Propose and build ML evaluation metrics that align with real world success and company goals.
  • Quickly prototype generative models against our lead metrics and perform deep analyses of improvements.
  • Collaborate in a joint codebase with other research scientists, engineers and protein designers, maintaining highest code standards.
  • Contribute to the maintenance of our compute and ML development infrastructure.
  • In collaboration with the bio team, plan wet lab testing campaigns and carry out model inference against biological targets to enable their testing in the wet lab.
  • Quickly learn from wet lab results and feedback data to our models.
• Self development [~10% of your time]:
  • Stay on top of the latest developments in ML.
  • Gain a strong working understanding of protein and cell biology.
  • Participate in knowledge sharing, e.g. organize and present at our internal reading group.
  • Attend and present at conferences.

We offer strongly competitive compensation and benefits packages, including:

• Private health insurance
• Pension/401(K) contributions
• Generous leave policies (including gender neutral parental leave)
• Hybrid working
• Travel opportunities and more

We also offer a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models.

We welcome applicants from all backgrounds and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.

To apply, please fill in our application form.