Jack & Jill
Principal Deep Learning Researcher at Alchemab Therapeutics
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Job Title
Principal Deep Learning Researcher
Salary
Not Disclosed
Company Description
Alchemab Therapeutics is a Cambridge-based biotech identifying novel drug targets through deep profiling of half a billion antibody sequences. Using proprietary patient data and state-of-the-art foundation models like AntiBERTa and FAbCon, the company is transforming how protective antibodies are discovered and optimized for therapeutic use.
Job Description
As a Principal Deep Learning Researcher at Alchemab Therapeutics, you will lead the development of state-of-the-art models for antibody discovery. You will leverage one of the world's largest antibody datasets to design architectures for sequence understanding and binding prediction, bridging the gap between high-dimensional data and life-saving experimental hypotheses.
Location
Cambridge, UK
Why this role is remarkable
- Work with one of the world's largest proprietary antibody datasets, featuring over half a billion sequences drawn from thousands of patients.
- Contribute to the evolution of industry-leading foundation models like AntiBERTa and FAbCon, setting the technical direction for antibody generative modeling.
- Influence Alchemab Therapeutics' long-term ML strategy as a staff-level individual contributor operating at the cutting edge of biology and deep learning.
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What You Will Do
- Develop and deploy deep learning architectures for antibody sequence generation, representation learning, and antigen binding prediction using JAX, PyTorch, or TensorFlow.
- Partner directly with the Director of ML to define the technical roadmap and collaborate with software teams to democratize ML capabilities across the organization.
- Design and execute rigorous benchmarks to evaluate model performance against real-world experimental ground truth from Alchemab’s wet-lab facilities.
The ideal candidate
- Holds an MSc or PhD in a quantitative field with 5+ years of experience designing and training complex deep learning models in production or research.
- Demonstrates a strong track record of impact through high-impact publications or deployed systems, with deep proficiency in modern ML frameworks and coding agents.
- Possesses a genuine curiosity for biology and the ability to communicate sophisticated technical conclusions to cross-functional teams of scientists and engineers.
Who are Jack & Jill?
Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
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And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
How does this work?
Jack's an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack's network.
If it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives.
We never post fake jobs
This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.
Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.
We appreciate this can make them look a bit suspect, but there isn't much we can do about it.
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