Senior bioinformatics scientist Work, Jobs in Cambridge, Cam (with Salaries)

Senior Scientist - Computational Protein Design/Bioinformatics
Abcam —Cambridge
- Full-time
- Machine learning
- AI
- Python
Scientist / Senior Scientist, Computational Biology
Altos Labs —Cambridge
- Doctoral degree
- Laboratory experience
- AWS
Senior Scientist – AI and Computational Tools, Oncology R&D (12-Month FTC)
AstraZeneca —Cambridge
- Doctoral degree
- Master's degree
- Software development
7d
Principal Bioinformatics Engineer
Tagomics —Cambridge
- Full-time
- Hybrid work
- Management
- Computer Science
- Data analysis skills
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Scientist / Senior Scientist, Computational Biology
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Scientist II (3- 5 years experience post PhD) £62, 400- £82,100. Familiarity with machine learning, deep learning, or generative modeling approaches applied to…
Senior Biological Scientist
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Notice to agencies: *Owlstone Medical Ltd politely requests no contact from recruitment agencies or media sales.
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Senior Scientist - Computational Protein Design/Bioinformatics

Abcam -
Cambridge

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Job details

Full-time

Qualifications

Law
Machine learning
AI
Python

Full job description

For over 25 years, Abcam has been providing tools the scientific community needs to enable faster breakthroughs in critical areas like cancer, neurological disorders, infectious diseases, and metabolic disorders.

At Abcam, our mission is to empower scientists globally, and we aim to be the most influential life sciences company in the world.

We believe that to continue making progress, we need to work together, each bringing our own unique perspectives to make an impact on the world. This community needs people like you: dedicated, agile and above all audacious so we can truly drive science forward.

We are seeking a Senior Scientist – Computational Protein Design and Bioinformatics to join the newly established Danaher Affinity Reagent Autonomous Laboratory hosted at Abcam in Cambridge. You will evaluate, develop and utilise execute cutting‑edge computational design for miniproteins, VHHs (nanobodies), and antibodies, leveraging modern machine learning approaches including large language models (LLMs) and diffusion‑based generative models. This role sits at the interface of structural biology, computational modeling, and AI‑driven molecule design,

You will drive the design of novel protein binders which will then be tested in a state of the art autonomous wet-lab enabling rapid design/make/test/learn cycles at scale.

This position reports to the Director of Data Applications and Analytics at Abcam and will undertake projects for the Danaher Affinity Reagents Autonomous Laboratory and is based in Cambridge, UK.

In this role, you will have the opportunity to:

Lead computational design of miniproteins, VHHs, and antibodies.

Apply and integrate LLM‑based and diffusion‑based generative models with structure‑ and physics‑based protein design methods.

Collaborate closely with wet‑lab, to drive iterative design/make/test/learn cycles.

Analyze structural, biophysical, and binding data to refine models and improve design quality.

Contribute to strategy and communicate results to internal and external stakeholders.

The essential requirements of the job include:

Expertise in AI/ML for molecular design, such as:

protein structural modelling

generative protein or antibody design

optimization of binding, developability, or stability profiles

Familiarity with immune repertoire sequencing, phage/yeast display, or experimental modalities used to assess and optimize biomolecule properties.

Strong grounding in statistics, applied mathematics, and computational modelling.

Fluency in Python, including rapid prototyping, production‑quality code, and use of relevant bioinformatics and ML libraries.

Ability to navigate and solve complex, ambiguous scientific data problems with creativity and rigor.

5+ years of relevant experience in computational biology, bioinformatics, or AI for molecular design.

It would be a plus if you also possess previous experience in:

Software engineering best practices and collaboration with engineering teams.

MLOps or model lifecycle management.

Working with databases, data integration strategies, and data modelling.

Working in dynamic, multidisciplinary settings.

Learning new tools and applying them to complex biological challenges.

Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.

For more information, visit www.danaher.com.

Apply Now

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senior bioinformatics scientist jobs in cambridge, cam

Senior Scientist - Computational Protein Design/Bioinformatics

Scientist / Senior Scientist, Computational Biology

Senior Scientist – AI and Computational Tools, Oncology R&D (12-Month FTC)

Principal Bioinformatics Engineer

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