Level

Basecamp Research

Senior Research Scientist

Basecamp Research is hiring a Senior Research Scientist in London, United Kingdom. Level rates it ; you can apply on Basecamp Research.

Level's read on this job

  • On Level's scale, this research scientist role is Builds AI ●●●●: the job is building AI systems.
  • Tools and skills the posting cites include Anthropic, Python and PyTorch.
  • Level classifies it as a senior role.
  • Level lists 15 other open roles at Basecamp Research.

AI in this role

Senior Research Scientist to develop core machine learning problems and frontier AI foundation models for therapeutic design.

anthropicpythonpytorchdistributed-training
ai-researchmachine-learningdeep-learningfoundation-modelsgenomicsresearch

About Us

Basecamp Research is building frontier AI for therapeutic design. We believe the future of medicine lies in reprogramming the body to repair itself, and we design the models and the medicines to teach it how.

Our EDEN models are trained on BaseData, the world's largest proprietary genomic dataset, with over 10B genes collected through partnerships in more than 30 countries across all seven continents. This gives our AI models access to genetic diversity that doesn't exist in public databases, and enables EDEN to design cell and gene therapies, enzymes, and peptides directly from information about a disease. Our pipeline of EDEN-designed therapeutics, beginning with in vivo cell therapy, is advancing towards clinical development.

In September 2026 we closed an oversubscribed $140M Series C led by S32, with participation from NVIDIA, Anthropic's Anthology Fund, Catalio, European Tech Collective, Firebrand River Capital, King Philanthropies, NATO Innovation Fund, NVentures (NVIDIA's venture arm), Redalpine, Rockefeller Foundation, Singular, Sovereign AI and True Ventures. We have offices and labs in London and Boston, we partner with biopharma companies and academic institutions worldwide, and our work has been recognised by Fast Company's Top 10 Most Innovative Companies in Biotech, the FT-backed Sifted AI100 list of Europe's leading AI startups as well as Barclays Eagle Labs Ones to watch, AI100.

At Basecamp Research, we pride ourselves on being a lean collaborative and global team with extremely specialist and unique skills. Our biologists, engineers, ML scientists and field explorers are united by a sense of adventure and the belief that AI, biology and data, will result in new medicines for patients who have few options today.

The Role

We are looking for a Senior Research Scientist to join our AI Research team in London. You will work on the core machine learning problems behind biological foundation models, from architecture and training through to evaluation and the design of genuinely novel biology.

Our research group is small, collaborative, and operates more like a frontier research lab than a typical biotech team. We train billion-parameter-scale foundation models on the world's largest metagenomic dataset, comprising tens of trillions of tokens. We look for people who can push the mathematical boundaries of what these models can learn and represent. The work requires developing new methods and theories from scratch.

This is a role with real ownership. You will shape a research direction within the team, publish at top venues, and see your work translated into models that generate genuinely novel biology. The problems are hard, the data is unique, and the impact is tangible.

You'll be reporting to the Head of AI Research and working alongside researchers covering genomics, sequence modeling, and large-scale deep learning, as well as computational biologists, bioinformaticians, and engineers across the wider company.

About You

PhD in computer science, mathematics, physics, or a closely related quantitative field. Your work in AI is driven by curiosity, and you've built a track record of research that others have found worth building on.

You have spent meaningful time on frontier research and you already have an understanding of how top research teams operate, from problem selection to large-scale experimentation to shipping results that matter.

Your research interests might span representation learning, generative modeling, sequence and structure models, multimodal learning, training and inference at scale, reinforcement learning, or evaluation and interpretability. What matters most is that you pick important problems and go after them with rigor.

You have a strong publication record at top ML venues (NeurIPS, ICML, ICLR, or equivalent) that demonstrates independent thinking and a coherent research arc.

You are genuinely curious about biology. Domain expertise is welcome, and what we really care about is that you find it exciting to work with data from unexplored ecosystems encoding billions of years of evolutionary optimization. The best candidates will see biological data as a source of fundamentally new scientific questions.

You put the team first, have strong collaborative instincts, and a startup mentality. You are comfortable with ambiguity, willing to iterate fast, and happy to work in a small team where everyone contributes across boundaries.

Nice to Have

Experience training models at large scale (billions of parameters, extreme long context, distributed training, custom architectures).

Domain knowledge in life sciences, genomics, or computational biology, e.g., familiarity with protein structure, molecular dynamics, or related biophysical methods.

Experience taking research models into production.

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.

How we rate this

Senior Research Scientist at Basecamp Research rates 95 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI ResearchMachine learningDeep learningFoundation ModelsGenomicsResearchAnthropicPython

Also common in research scientist jobs at this level

Pay

Typical research scientist job
$192k

This posting doesn't list pay. Use the typical research scientist figure when pay comes up. See research scientist jobs

Questions you could be asked

  1. Tell me about a research question you investigated. What did you find?
  2. Tell me about a project where machine learning was part of your work. What did you do?
  3. Tell me about a project where deep learning was part of your work. What did you do?
  4. Tell me about a project where foundation models was part of your work. What did you do?
  5. Tell me about a project where genomics was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI Research, Machine learning, Deep learning, Foundation Models, and Genomics. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

Want an expert to read your CV for this job?

Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.

Get new research scientist jobs (Builds AI ●●●●) by email

One email a week with the new research scientist jobs (Builds AI ●●●●), each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.

Free. One email a week. Unsubscribe in one click.

Similar roles

Research roles that build AI, at other companies.

What kind of AI work fits you?

Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.

Find my next step

More jobs at Basecamp Research

More research scientist jobs

Related searches

Same AI level

Jobs by city