Basecamp Research
About Us Basecamp Research is dedicated to solving major challenges in the life sciences by exploring Beyond Known Biology. Our teams build frontier AI models using BaseData, the world's largest ethically-sourced and globally representative biological dataset. Our Global Research Team collects and curates our own biological data through partnerships with more than 152 organizations in 28 countries, giving its AI access to genetic diversity that doesn't exist for models trained on public database sources. This enables Basecamp Research to design novel protein sequences and biological systems that can accelerate therapeutic research and development. In October 2024 we closed Series B and in January 2026 finalised pre-Series C investment from NVIDIA. With hubs both in London, UK as well as Boston, Massachusetts, USA and partners with biopharma companies and academic institutions worldwide, our work has been recognized with honors including Fast Company's Top 10 Most Innovative Companies in Biotech and the FT-backed Sifted AI100 list of Europe's leading AI startups. At Basecamp Research, we pride ourselves on being a diverse, exciting, fun, and flexible place to work. Our team of biologists, engineers, ML scientists, field explorers, and operations specialists are united by a sense of adventure and the belief that nature has already designed the solutions to our planet's greatest challenges. If you feel passionate about the power of biology, data, and AI to build a better world, we'd love to hear from you. The Role We are looking for a Technical Talent Lead to own how we find, attract, and hire the people who build our frontier AI and biology research. You will run technical and research recruiting end to end, from the first conversation with a hiring manager about what a role actually needs, through sourcing, calibration, candidate experience, and close. This is a builder's role. We are growing intentionally, and you will shape the strategy, systems, and employer brand that let a small team hire exceptionally well without losing the things that make us a great place to work. You will be the person hiring managers trust to tell them the truth about the market, to reach the candidates nobody else can, and to make every step of the process feel considered. The talent you bring in will directly shape what research is possible here. Hiring the right research engineer, ML scientist, or platform engineer is not a support function at Basecamp Research, it is one of the highest-leverage things anyone can do for the mission. You'll work closely with our research, engineering, and platform leaders, partner with the wider People team on offers, onboarding, and headcount planning, and report to the VP of People. About You You have a strong track record of full cycle technical recruiting, ideally in house at a frontier AI lab, a deep tech company, or a high growth startup where recruiters are treated as trusted partners rather than order takers. You have experience nurturing a global network of world class talent and proven success hiring hard to find people: ML researchers and research engineers, software and platform engineers, and ideally scientific talent at the intersection of AI and biology. You know what excellent looks like in these populations, and you know how to reach it. You are an advanced sourcer. You can identify and engage passive candidates who are not looking, build pipelines from a standing start, and use the full range of tools, referrals, events, and creative outreach to land people on the right team. You act as a consultative partner. You develop hiring strategies alongside leaders, push back when something does not add up, calibrate searches properly, and manage expectations across the business with clear, data backed insight. You own the whole candidate journey and care deeply about the experience. From launching a search through interview design, prepping and guiding candidates, and offer negotiation, you make the process feel considered, fair, and fast. You bring structure without bureaucracy. You instinctively improve processes across the recruitment lifecycle, report cleanly on pipeline and funnel, and use data to make better decisions and tell better stories. You have a strong sense of employer brand, including running events, content, and outreach that strengthen our reputation in the AI and life sciences community. You are genuinely curious about biology and our mission. The work you'll be hiring for sits on top of billions of years of evolution, drawn from ecosystems most datasets never touch. You should find that interesting and not incidental. Low ego, collaborative instincts, and a startup mentality. You're comfortable with ambiguity and happy to wear multiple hats in a team where everyone contributes beyond their job description. Nice to Have Enough familiarity with the technical and scientific domains we work in, such as distributed training, accelerators, genomics, or computational biology, to speak credibly to senior candidates. Experience setting up or improving hiring operations, including ATS, sourcing tooling, and reporting (for example Ashby, LinkedIn Recruiter and Juicebox). Experience building a talent function from an early stage, or mentoring and managing other recruiters as the team grows. What we offer in return Impactful Mission: This is a rare chance to do work that genuinely matters. You'll join a talented, fast moving team, access unique biological datasets at scale, and see your contributions shape real breakthroughs in AI and curative therapeutics. Collaborative Culture: You'll be surrounded by world class engineers, scientists, and researchers who care deeply about their work and about each other. With offices in London and Boston, we've built a flexible, cross functional environment where personal development and real ownership aren't just talking points. High Growth: We truly believe in investing in our people. We make coaching available to team members during steep growth journeys, and we have twice yearly promotion opportunities. People who are really successful here own it and go directly to solve problems at pace, and we make sure reward increases with impact. Comprehensive Benefits: We've built a benefits package people value. That means competitive salary, equity, and private healthcare with no medical history exclusions, so strong that most employees' family members opt into our plan over their own. We also offer Carrot Fertility with IVF stipend, salary sacrifice pension, bike to work scheme, life insurance, and more. We are committed to equal opportunity employment regardless of ethnic or national origin, race, religion, sex, age, citizenship, sexual orientation, marital status, disability, gender identity or any other basis. If you have a disability or additional need that needs accommodating do let us know.
About Us Basecamp Research is dedicated to solving major challenges in the life sciences by exploring Beyond Known Biology. Our teams build frontier AI models using BaseData, the world's largest ethically-sourced and globally representative biological dataset. Our Global Research Team collects and curates our own biological data through partnerships with more than 152 organizations in 28 countries, giving its AI access to genetic diversity that doesn't exist for models trained on public database sources. This enables Basecamp Research to design novel protein sequences and biological systems that can accelerate therapeutic research and development. In October 2024 we closed Series B and in January 2026 finalised pre-Series C investment from NVIDIA. With hubs both in London, UK as well as Boston, Massachusetts, USA and partners with biopharma companies and academic institutions worldwide, our work has been recognized with honors including Fast Company's Top 10 Most Innovative Companies in Biotech and the FT-backed Sifted AI100 list of Europe's leading AI startups. At Basecamp Research, we pride ourselves on being a diverse, exciting, fun, and flexible place to work. Our team of biologists, engineers, ML scientists, field explorers, and operations specialists are united by a sense of adventure and the belief that nature has already designed the solutions to our planet's greatest challenges. If you feel passionate about the power of biology, data, and AI to build a better world, we'd love to hear from you. The Role We are looking for a Technical Talent Lead to own how we find, attract, and hire the people who build our frontier AI and biology research. You will run technical and research recruiting end to end, from the first conversation with a hiring manager about what a role actually needs, through sourcing, calibration, candidate experience, and close. This is a builder's role. We are growing intentionally, and you will shape the strategy, systems, and employer brand that let a small team hire exceptionally well without losing the things that make us a great place to work. You will be the person hiring managers trust to tell them the truth about the market, to reach the candidates nobody else can, and to make every step of the process feel considered. The talent you bring in will directly shape what research is possible here. Hiring the right research engineer, ML scientist, or platform engineer is not a support function at Basecamp Research, it is one of the highest-leverage things anyone can do for the mission. You'll work closely with our research, engineering, and platform leaders, partner with the wider People team on offers, onboarding, and headcount planning, and report to the VP of People. About You You have a strong track record of full cycle technical recruiting, ideally in house at a frontier AI lab, a deep tech company, or a high growth startup where recruiters are treated as trusted partners rather than order takers. You have experience nurturing a global network of world class talent and proven success hiring hard to find people: ML researchers and research engineers, software and platform engineers, and ideally scientific talent at the intersection of AI and biology. You know what excellent looks like in these populations, and you know how to reach it. You are an advanced sourcer. You can identify and engage passive candidates who are not looking, build pipelines from a standing start, and use the full range of tools, referrals, events, and creative outreach to land people on the right team. You act as a consultative partner. You develop hiring strategies alongside leaders, push back when something does not add up, calibrate searches properly, and manage expectations across the business with clear, data backed insight. You own the whole candidate journey and care deeply about the experience. From launching a search through interview design, prepping and guiding candidates, and offer negotiation, you make the process feel considered, fair, and fast. You bring structure without bureaucracy. You instinctively improve processes across the recruitment lifecycle, report cleanly on pipeline and funnel, and use data to make better decisions and tell better stories. You have a strong sense of employer brand, including running events, content, and outreach that strengthen our reputation in the AI and life sciences community. You are genuinely curious about biology and our mission. The work you'll be hiring for sits on top of billions of years of evolution, drawn from ecosystems most datasets never touch. You should find that interesting and not incidental. Low ego, collaborative instincts, and a startup mentality. You're comfortable with ambiguity and happy to wear multiple hats in a team where everyone contributes beyond their job description. Nice to Have Enough familiarity with the technical and scientific domains we work in, such as distributed training, accelerators, genomics, or computational biology, to speak credibly to senior candidates. Experience setting up or improving hiring operations, including ATS, sourcing tooling, and reporting (for example Ashby, LinkedIn Recruiter and Juicebox). Experience building a talent function from an early stage, or mentoring and managing other recruiters as the team grows. What we offer in return Impactful Mission: This is a rare chance to do work that genuinely matters. You'll join a talented, fast moving team, access unique biological datasets at scale, and see your contributions shape real breakthroughs in AI and curative therapeutics. Collaborative Culture: You'll be surrounded by world class engineers, scientists, and researchers who care deeply about their work and about each other. With offices in London and Boston, we've built a flexible, cross functional environment where personal development and real ownership aren't just talking points. High Growth: We truly believe in investing in our people. We make coaching available to team members during steep growth journeys, and we have twice yearly promotion opportunities. People who are really successful here own it and go directly to solve problems at pace, and we make sure reward increases with impact. Comprehensive Benefits: We've built a benefits package people value. That means competitive salary, equity, and private healthcare with no medical history exclusions, so strong that most employees' family members opt into our plan over their own. We also offer Carrot Fertility with IVF stipend, salary sacrifice pension, bike to work scheme, life insurance, and more. We are committed to equal opportunity employment regardless of ethnic or national origin, race, religion, sex, age, citizenship, sexual orientation, marital status, disability, gender identity or any other basis. If you have a disability or additional need that needs accommodating do let us know.
Basecamp Research
Full-time Head Office (Farringdon, London) About Us Basecamp Research is dedicated to solving major challenges in the life sciences by exploring Beyond Known Biology. Our teams build frontier AI models using BaseData, the world's largest ethically-sourced and globally representative biological dataset. Our Global Research Team collects and curates our own biological data through partnerships with more than 152 organizations in 28 countries, giving its AI access to genetic diversity that doesn't exist for models trained on public database sources. This enables Basecamp Research to design novel protein sequences and biological systems that can accelerate therapeutic research and development. In October 2024 we closed Series B and in January 2026 finalised pre-Series C investment from NVIDIA. With hubs both in London, UK as well as Boston Massachusetts, USA and partners with biopharma companies and academic institutions worldwide, our work has been recognized with honors including Fast Company's Top 10 Most Innovative Companies in Biotech and the FT-backed Sifted AI100 list of Europe's leading AI startups. At Basecamp Research, we pride ourselves on being a diverse, exciting, fun, and flexible place to work. Our team of biologists, engineers, ML scientists, field explorers, and operations specialists are united by a sense of adventure and the belief that nature has already designed the solutions to our planet's greatest challenges. If you feel passionate about the power of biology, data, and AI to build a better world, we'd love to hear from you. The Role We are looking for a Senior Research Engineer to join our AI Research team in London. You will work on the technology, systems and infrastructure that power our frontier research, from accelerators and distributed training pipelines to experiment frameworks and the tooling that lets a small team operate at scale. You will sit within the research team, understand the science, and make decisions that directly shape what research is possible and how we run it. The best research engineers shape what can be done and how fast ideas move from whiteboard to result. We train large-scale models on the world's richest biological datasets. The scale we work at unique and the engineering challenges are too: custom architectures on novel data modalities, training runs that push hardware limits, and a pace of experimentation that demands robust and flexible tooling. You will be the person who makes all of that work reliably, and who figures out how to make it work better. You'll report to the Head of AI Research and work closely with researchers covering genomics, computational biology, and large-scale deep learning. You'll also collaborate with the broader platform engineering and data teams across the company. About You PhD in computer science, physics, mathematics, or a related field, or equivalent depth of experience gained through building AI systems at scale. You have worked at a frontier AI research lab where research engineers are treated as first-class contributors. You know how to run large-scale experiments and you've been part of making that actually happen at scale. You are comfortable across the full stack: distributed training frameworks, GPU/accelerator optimization, data pipelines, experiment tracking, and making research reproducible and reliable. You have experience down to the level of CUDA kernels or XLA. You have contributed to open source projects like PyTorch, JAX, MLX or similar. You care about research outcomes as much as system uptime. You form opinions about what experiments to run and how to design them. You can read papers and research reports and figure out what it would take to implement them as efficiently as possible. A backround in mathematics or physics is strongly preferred. The best research engineers bring quantitative intuition to system design decisions. You have strong software engineering practices: clean code, good testing habits, focus on performance, and an instinct for building systems that other people can actually use. In a small team everyone depends on what you build. You are genuinely curious about biology. The data you'll work with encodes billions of years of evolution, drawn from ecosystems most datasets never touch. You should find that interesting and not incidental. Low ego, collaborative instincts, and a startup mentality. You're comfortable with ambiguity and happy to wear multiple hats in a team where everyone contributes beyond their job description. Nice to Have Experience with biological data: genomic sequences, protein structures, molecular data, or similar. Familiarity with our broader tech stack: Kubernetes, Dagster, or similar orchestration and infrastructure tools. Contributions to open-source ML frameworks or research codebases. Publications at major venues (e.g., NeurIPS, ICML, ICLR, or JMLR) What we offer in return Impactful Mission: This is a rare chance to do work that genuinely matters. You'll join a talented, fast-moving team, access unique biological datasets at scale, and see your contributions shape real breakthroughs in AI and curative therapeutics Collaborative Culture: You'll be surrounded by world class engineers, scientists, and researchers who care deeply about their work and about each other. With offices in London and Boston, we've built a flexible, cross functional environment where personal development and real ownership aren't just talking points. High Growth: We truly believe in investing our people we make coaching available to team members during steep growth journeys and we have twice yearly promotion opportunities. People who are really successful here own it and go directly to solve problems at pace and we ensure reward increases with impact. Comprehensive Benefits: We've built a benefits package people value. That means competitive salary, equity, and private healthcare with no medical history exclusions so strong that means most employees' family members opt into our plan over their own. We also offer Carrot Fertility with IVF stipend, salary sacrifice pension, bike to work scheme, life insurance, and more. We are committed to equal opportunity employment regardless of ethnic or national origin, race, religion, sex, age, citizenship, sexual orientation, marital status, disability, gender identity or any other basis. If you have a disability or additional need that needs accommodating, do let us know.
Full-time Head Office (Farringdon, London) About Us Basecamp Research is dedicated to solving major challenges in the life sciences by exploring Beyond Known Biology. Our teams build frontier AI models using BaseData, the world's largest ethically-sourced and globally representative biological dataset. Our Global Research Team collects and curates our own biological data through partnerships with more than 152 organizations in 28 countries, giving its AI access to genetic diversity that doesn't exist for models trained on public database sources. This enables Basecamp Research to design novel protein sequences and biological systems that can accelerate therapeutic research and development. In October 2024 we closed Series B and in January 2026 finalised pre-Series C investment from NVIDIA. With hubs both in London, UK as well as Boston Massachusetts, USA and partners with biopharma companies and academic institutions worldwide, our work has been recognized with honors including Fast Company's Top 10 Most Innovative Companies in Biotech and the FT-backed Sifted AI100 list of Europe's leading AI startups. At Basecamp Research, we pride ourselves on being a diverse, exciting, fun, and flexible place to work. Our team of biologists, engineers, ML scientists, field explorers, and operations specialists are united by a sense of adventure and the belief that nature has already designed the solutions to our planet's greatest challenges. If you feel passionate about the power of biology, data, and AI to build a better world, we'd love to hear from you. The Role We are looking for a Senior Research Engineer to join our AI Research team in London. You will work on the technology, systems and infrastructure that power our frontier research, from accelerators and distributed training pipelines to experiment frameworks and the tooling that lets a small team operate at scale. You will sit within the research team, understand the science, and make decisions that directly shape what research is possible and how we run it. The best research engineers shape what can be done and how fast ideas move from whiteboard to result. We train large-scale models on the world's richest biological datasets. The scale we work at unique and the engineering challenges are too: custom architectures on novel data modalities, training runs that push hardware limits, and a pace of experimentation that demands robust and flexible tooling. You will be the person who makes all of that work reliably, and who figures out how to make it work better. You'll report to the Head of AI Research and work closely with researchers covering genomics, computational biology, and large-scale deep learning. You'll also collaborate with the broader platform engineering and data teams across the company. About You PhD in computer science, physics, mathematics, or a related field, or equivalent depth of experience gained through building AI systems at scale. You have worked at a frontier AI research lab where research engineers are treated as first-class contributors. You know how to run large-scale experiments and you've been part of making that actually happen at scale. You are comfortable across the full stack: distributed training frameworks, GPU/accelerator optimization, data pipelines, experiment tracking, and making research reproducible and reliable. You have experience down to the level of CUDA kernels or XLA. You have contributed to open source projects like PyTorch, JAX, MLX or similar. You care about research outcomes as much as system uptime. You form opinions about what experiments to run and how to design them. You can read papers and research reports and figure out what it would take to implement them as efficiently as possible. A backround in mathematics or physics is strongly preferred. The best research engineers bring quantitative intuition to system design decisions. You have strong software engineering practices: clean code, good testing habits, focus on performance, and an instinct for building systems that other people can actually use. In a small team everyone depends on what you build. You are genuinely curious about biology. The data you'll work with encodes billions of years of evolution, drawn from ecosystems most datasets never touch. You should find that interesting and not incidental. Low ego, collaborative instincts, and a startup mentality. You're comfortable with ambiguity and happy to wear multiple hats in a team where everyone contributes beyond their job description. Nice to Have Experience with biological data: genomic sequences, protein structures, molecular data, or similar. Familiarity with our broader tech stack: Kubernetes, Dagster, or similar orchestration and infrastructure tools. Contributions to open-source ML frameworks or research codebases. Publications at major venues (e.g., NeurIPS, ICML, ICLR, or JMLR) What we offer in return Impactful Mission: This is a rare chance to do work that genuinely matters. You'll join a talented, fast-moving team, access unique biological datasets at scale, and see your contributions shape real breakthroughs in AI and curative therapeutics Collaborative Culture: You'll be surrounded by world class engineers, scientists, and researchers who care deeply about their work and about each other. With offices in London and Boston, we've built a flexible, cross functional environment where personal development and real ownership aren't just talking points. High Growth: We truly believe in investing our people we make coaching available to team members during steep growth journeys and we have twice yearly promotion opportunities. People who are really successful here own it and go directly to solve problems at pace and we ensure reward increases with impact. Comprehensive Benefits: We've built a benefits package people value. That means competitive salary, equity, and private healthcare with no medical history exclusions so strong that means most employees' family members opt into our plan over their own. We also offer Carrot Fertility with IVF stipend, salary sacrifice pension, bike to work scheme, life insurance, and more. We are committed to equal opportunity employment regardless of ethnic or national origin, race, religion, sex, age, citizenship, sexual orientation, marital status, disability, gender identity or any other basis. If you have a disability or additional need that needs accommodating, do let us know.