You will integrate layers of Recursion platform data (phenomics, transcriptomics, proteomics, etc) to validate the link between target and disease biology and to propose targets and early programs in novel areas of immunology and inflammation.
You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package.
A biotechnology company in the City of London is seeking a Senior Molecular Biologist to contribute to advancements in the gene therapy industry. The ideal candidate will have extensive experience in plasmid construction and DNA manufacturing. Responsibilities include genetically engineering plasmid DNA for synthetic DNA products and ensuring work is conducted in GMP environments. A strong...
Principal Computational Biologist (Portfolio Generation) £57,000 - £70,900 plus benefits Reports to: Group Leader – Quantitative Biology Directorate: Research & Innovation Contract: Permanent Hours: Full time 35 hours per week Location: Cambridge, Babraham Research Campus, Limited flexibility 3-4 days per week on site Closing date: 25 January 2026 23:55 This vacancy may close earlier if a high...
The Byron Lab within the School of Biological Sciences wish to appoint a laboratory-based Research Associate to an exciting project exploring the regulation of nuclear function by actin-associated adhesion proteins. We seek a highly motivated postdoctoral molecular cell biologist to investigate how regulation of the cytoskeleton at the nucleus controls cell behaviour and gene expression. During...
Biologist Opportunity (Scientist & Senior Scientist level) Hours: 37.5 hours per week. Monday – Friday. Flexible working hours. Ref No: HRJOB11159 Business Unit: Almac Discovery Location: Belfast Open To: Internal and external applicants may apply Almac Discovery Belfast One of seven business units within the Almac Group of companies and is located on the Queen’s University Belfast life...
About the role I’m working with a well-funded early-stage BioAI startup applying machine learning to a hard, underexplored biological problem with real implications for climate resilience and food security. They’re building an ML-first platform where research doesn’t sit in isolation. Models are expected to ship, be used by scientists, and influence real experimental decisions. They’re looking...
About the role I’m working with a well-funded early-stage BioAI startup applying machine learning to a hard, underexplored biological problem with real implications for climate resilience and food security. They’re building an ML-first platform where research doesn’t sit in isolation. Models are expected to ship, be used by scientists, and influence real experimental decisions. They’re looking...
You will lead the design of generative AI systems, protein co-folding architectures, and graph neural networks (GNNs) and agentic AI, that help uncover new therapeutic possibilities. Working alongside leading computational scientists, data engineers, and domain experts, you will shape the future of AI-driven discovery at Nxera — advancing our mission to make precision medicines a reality.
Introduction Are you passionate about deep tech and driven to make a meaningful difference through technology? Are you a recent or soon-to-be graduate biologist, clinical scientist, bioengineer or similar, keen to apply your technical appreciation of biological processes or medical devices to guide investment and business decisions? Are you interested in the difference between science that...
You will have direct impact on our early pipeline and lead the scientific deliveries from our flagship genome‐scale in‐vitro perturbation screens producing high‐content imaging and functional genomics data and help us translate these into compelling drug projects.
You will join the BioAI department, part of AI and Digital Innovation in Research & Development (R&D).
About the role I’m working with a well-funded early-stage BioAI startup applying machine learning to a hard, underexplored biological problem with real implications for climate resilience and food security. They’re building an ML-first platform where research doesn’t sit in isolation. Models are expected to ship, be used by scientists, and influence real experimental decisions. They’re looking...
You will work in a deeply collaborative, interdisciplinary partnership with our Computational Biology, AI/ML, Drug Design and Clinical teams.
You will collaborate with Computational Biologists and ML Engineers to interpret in silico findings, design critical validation experiments, and integrate high-dimensional experimental data back into the AI platform to refine our models.
You will join an interdisciplinary team of machine learners, protein engineers and biologists, jointly working to change the way that we control biology and cure diseases. In your role, you will craft delightful, intuitive interfaces that make complex biological data accessible and engaging, contributing to ground breaking science through exceptional user experience design.
Join to apply for the Computational Biologist role at Epoch Biodesign Epoch Biodesign is a well-funded, venture-backed start-up using biology to make every type of plastic recyclable - starting with nylon. Using a unique combination of AI, synthetic biology and green chemistry, we are scaling enzymatic recycling in order to transform currently unrecyclable plastics and textiles into new,...
You will assist in resolving customer inquiries, providing resources and tools, and delivering training for internal teams and external users. Working closely with Commercial and R&D teams, you will contribute to successful customer outcomes by helping address data analysis challenges with accuracy and scientific insight.
You will integrate layers of Recursion platform data (phenomics, transcriptomics, proteomics, etc) to validate the link between target and disease biology and to propose targets and early programs in novel areas of neuroscience.
You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package.
Job Description About the role I’m working with a well-funded early-stage BioAI startup applying machine learning to a hard, underexplored biological problem with real implications for climate resilience and food security. They’re building an ML-first platform where research doesn’t sit in isolation. Models are expected to ship, be used by scientists, and influence real experimental...
You will work in a deeply collaborative, interdisciplinary partnership with our Computational Biology, AI/ML, Drug Design and Clinical teams.
You will collaborate with Computational Biologists and ML Engineers to interpret in silico findings, design critical validation experiments, and integrate high‐dimensional experimental data back into the AI platform to refine our models.
You will be responsible for genetically engineering plasmid DNA starting material for synthetic DNA products, contributing to a rapidly growing field. Key Skills and Experience: 2+ years of industry experience in plasmid construction 1+ year of experience in GMP environments
About the role I’m working with a well-funded early-stage BioAI startup applying machine learning to a hard, underexplored biological problem with real implications for climate resilience and food security. They’re building an ML-first platform where research doesn’t sit in isolation. Models are expected to ship, be used by scientists, and influence real experimental decisions. They’re looking...