Associate Director/Principal Scientist ComputationalBiology How to apply Please send your CV, quoting Associate Director/Principal Scientist ComputationalBiology in the subject line to Job Description: Associate Director/Principal Scientist ComputationalBiology Company Description NeoPhore is a biotech company targeting … Milan. NeoPhore currently has 13 full time employees and operates a mainly virtual drug discovery & development model. We have a dedicated internal Cancer Cell Biology (CCB) laboratory based at City St George's University, in South London, where most of the innovative Biology associated with the progression of … a first-in-class molecule is being performed. An opportunity has arisen for a genomics next generation sequencing ("NGS") expert and talented Computational Biologist to join our team. Role Description Summary NeoPhore is seeking an experienced, independent, highly motivated, rigorous, and resilient computational biologist to lead our computationalMore ❯
our local discovery teams and other AIML & data science functionsto advance therapeutic programs in Immunology, Neuroscience and Infectious Diseases/Vaccines, and to build computational pipelines that make better use of the data we generate. If you are data-focused, energetic, and looking to further develop your career in … of discovery programs. Collaborate across the network to help guide the data transformation process and build data science infrastructure. Effectively communicate data analyses and computational strategies to stakeholders and management. Democratize computational approaches and upskill lab-based scientists to become more data science savvy. What you will need … Ph.D. in Pharmacology, Data Science, Biostatistics, ComputationalBiology/Chemistry or other quantitative field; or a Master's degree in the same field with experience in some aspect of computational drug discovery or machine learning in a pharma or biotech setting. An understanding of pharmacology experiments for More ❯
in generative modeling is sought to join an interdisciplinary team of machine learning experts, protein engineers, and biologists. The team collaborates to transform how biology is controlled and diseases are cured. The role involves architecting innovative generative models aimed at designing new proteins that demonstrate functionality in wet lab … assays. This company specializes in developing generative AI models for synthetic biology, focusing on designing and reprogramming biological systems, including gene editing technologies to enable treatments for complex genetic diseases. Operating at the intersection of AI and biology, the team is driven by innovation, curiosity, and a commitment … with relentless curiosity and adaptability. Adaptability in dynamic environments: They thrive in fast-paced settings, achieving goals efficiently and effectively. Desired Qualifications Experience in computationalbiology or protein design: Experience with ML-driven projects in biology is advantageous. Natural science background: Academic training in fields like physics More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Enigma
in generative modeling is sought to join an interdisciplinary team of machine learning experts, protein engineers, and biologists. The team collaborates to transform how biology is controlled and diseases are cured. The role involves architecting innovative generative models aimed at designing new proteins that demonstrate functionality in wet lab … assays. This company specializes in developing generative AI models for synthetic biology, focusing on designing and reprogramming biological systems, including gene editing technologies to enable treatments for complex genetic diseases. Operating at the intersection of AI and biology, the team is driven by innovation, curiosity, and a commitment … with relentless curiosity and adaptability. Adaptability in dynamic environments: They thrive in fast-paced settings, achieving goals efficiently and effectively. Desired Qualifications Experience in computationalbiology or protein design: Experience with ML-driven projects in biology is advantageous. Natural science background: Academic training in fields like physics More ❯
london, south east england, united kingdom Hybrid / WFH Options
Enigma
in generative modeling is sought to join an interdisciplinary team of machine learning experts, protein engineers, and biologists. The team collaborates to transform how biology is controlled and diseases are cured. The role involves architecting innovative generative models aimed at designing new proteins that demonstrate functionality in wet lab … assays. This company specializes in developing generative AI models for synthetic biology, focusing on designing and reprogramming biological systems, including gene editing technologies to enable treatments for complex genetic diseases. Operating at the intersection of AI and biology, the team is driven by innovation, curiosity, and a commitment … with relentless curiosity and adaptability. Adaptability in dynamic environments: They thrive in fast-paced settings, achieving goals efficiently and effectively. Desired Qualifications Experience in computationalbiology or protein design: Experience with ML-driven projects in biology is advantageous. Natural science background: Academic training in fields like physics More ❯
London, England, United Kingdom Hybrid / WFH Options
Pear Bio
identify biomarkers and therapeutic targets. Present findings in internal meetings and contribute to scientific publications and conferences. Stay up to date with advancements in computational oncology, machine learning, and data science methodologies. Manage multiple projects simultaneously and ensure timely, high-quality deliverables. Must-Haves: MSc/PhD in data … science, computationalbiology, bioinformatics, biostatistics, or a related field. 3+ years of professional experience in biotech, pharma, or academia focusing on life science projects (ideally oncology drug discovery). Strong foundation in statistics, data analysis and machine learning. Experience working with high-dimensional biological datasets (e.g., transcriptomics, proteomics … databases. Strong written and verbal communication skills and the ability to present complex analyses to a diverse audience. Nice-to-Haves: Understanding of cancer biology, target identification, and drug response modeling. Experience working as an applied scientist or closely with wet-lab biologists. Experience with collaborative coding and version More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Pear Bio
identify biomarkers and therapeutic targets. Present findings in internal meetings and contribute to scientific publications and conferences. Stay up to date with advancements in computational oncology, machine learning, and data science methodologies. Manage multiple projects simultaneously and ensure timely, high-quality deliverables. Must-Haves: MSc/PhD in data … science, computationalbiology, bioinformatics, biostatistics, or a related field. 3+ years of professional experience in biotech, pharma, or academia focusing on life science projects (ideally oncology drug discovery). Strong foundation in statistics, data analysis and machine learning. Experience working with high-dimensional biological datasets (e.g., transcriptomics, proteomics … databases. Strong written and verbal communication skills and the ability to present complex analyses to a diverse audience. Nice-to-Haves: Understanding of cancer biology, target identification, and drug response modeling. Experience working as an applied scientist or closely with wet-lab biologists. Experience with collaborative coding and version More ❯
learning technologies. Roles are available for both recent graduates and senior profiles. Generative foundation models like ESM-3, AlphaFold, RFDiffusion, and ProteinMPNN are revolutionising computationalbiology and in silico drug design; and InstaDeep is leading the way in developing the next generation of technologies and applications. This requires … conditional and unconditional generation. Develop Biological Foundation Models Contribute to the creation of new models that push the boundaries of what's possible in computational biology. Collaborate Across Disciplines Work closely with Machine Learning Engineers, Research Engineers, Computational Biologists, and other experts. Leverage Cutting-Edge Resources Utilise our More ❯