Senior Scientist - Computational Protein Design / Bioinformatics

Senior Scientist - Computational Protein Design/Bioinformatics

Cambridge, GBR

Danaher Corporation

2026-05-22T04:30:59.799Z

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:

• S oftware 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.

• 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:
• S oftware engineering best practices and collaboration with engineering teams.
• MLOps or model lifecycle management.
• Working with databases, data integration strategies, and data modelling.
• W or king in dynamic, multidisciplinary settings.
• L earning 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 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 D irector 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 desig n/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.