all accountable for sustaining a diverse and inclusive environment. What You Will Contribute To Altos The Altos Labs Institute of Computation (IoC) is seeking an independent and highly motivated ComputationalBiology Scientist to build, maintain, and support our hybrid AI initiative to model cellular processes. The position will work in a multi-disciplinary research environment to assist investigators … mathematical models toward understanding mechanistic aspects of cellular processes with all experimental labs at Altos Labs. The ideal candidate is particularly interested in multi-scale (systems) biochemistry and molecular biology of reprogramming, a dynamic field that seeks to understand complex biological systems by integrating data about biochemical components and help design interventions that direct cellular states along desired trajectories. … of closing the feedback loop between experimental and theoretical work, at multiple scales, from molecules to cells, tissues and even whole organisms. Working at the interface between mathematical and computational models, and AI methods, with the aim of establishing design principles of rejuvenated cells. Collaborating with both experimental and computational scientists across Altos. Influence best practices in areas More ❯
cutting-edge biological AI models and deploying them to researchers advancing the life sciences. Applied Research Scientists at InstaDeep leverage their deep expertise in scientific principles, artificial intelligence, and computationalbiology to create more accurate, efficient, and scalable tools that enhance our understanding of biology and accelerate the development of medical treatments, including RNA therapeutics. This position … demands close collaboration across AI research, biology, engineering, and business teams, as well as with strategic partners like BioNTech. Success in this role requires a passion for bridging the gap between theoretical innovation and real-world application, and the ability to thrive in a highly collaborativecross-functional environment. Responsibilities Advance the state of the art in AI and/… in areas such as RNA design, optimisation and modelling. Design, implement, and evaluate proof-of-concept methods and benchmarking experiments using state-of-the-art approaches. Leverage both classical computationalbiology tools and modern deep learning approaches for tasks such as RNA design, optimization, and molecular modeling. Enhance the understanding of AI model behavior in biological applications by More ❯
preventative care clinic, and collaborative spaces to strengthen its partnership with the University of Oxford. It will also host the Ellison Scholars, driving innovation for societal benefit. The Generative Biology Institute (GBI) at the Ellison Institute of Technology (EIT) aims to overcome two major challenges in making biology engineerable: 1) the ability to precisely synthesize entire genomes, and … understanding which DNA sequences will create biological systems that perform desired functions. Solving these challenges will unlock the potential of biology for transformative solutions in health, sustainability, agriculture, and more. GBI will house 30 groups and over 300 researchers, supported by cutting-edge facilities and sustained funding to address global challenges and advance biology engineering. EIT fosters a … throughput platforms, adapting protocols as needed to meet experimental requirements. To design and execute bespoke sequencing experiments, collaborating with research teams working across niche and novel synthetic, molecular & cell biology applications. To train, assist and feedback to other scientists who can or wish to utilise next-generation sequencing in a walk-up fashion. To analyse sequencing data using existing More ❯
problem definition to post-launch operations, in alignment with product and patient outcomes. What We’re Looking For: Degree in Computer Science, Machine Learning, Artificial Intelligence, Biomedical Engineering, Bioinformatics, ComputationalBiology, or a related field (Ph.D. preferred). Minimum of 10+ years (Ph.D.), 13+ years (M.S.), or 15+ years (B.S.) of relevant industry experience in pharma, medtech, or More ❯
problem definition to post-launch operations, in alignment with product and patient outcomes. What We’re Looking For: Degree in Computer Science, Machine Learning, Artificial Intelligence, Biomedical Engineering, Bioinformatics, ComputationalBiology, or a related field (Ph.D. preferred). Minimum of 10+ years (Ph.D.), 13+ years (M.S.), or 15+ years (B.S.) of relevant industry experience in pharma, medtech, or More ❯
problem definition to post-launch operations, in alignment with product and patient outcomes. What We’re Looking For: Degree in Computer Science, Machine Learning, Artificial Intelligence, Biomedical Engineering, Bioinformatics, ComputationalBiology, or a related field (Ph.D. preferred). Minimum of 10+ years (Ph.D.), 13+ years (M.S.), or 15+ years (B.S.) of relevant industry experience in pharma, medtech, or More ❯
problem definition to post-launch operations, in alignment with product and patient outcomes. What We’re Looking For: Degree in Computer Science, Machine Learning, Artificial Intelligence, Biomedical Engineering, Bioinformatics, ComputationalBiology, or a related field (Ph.D. preferred). Minimum of 10+ years (Ph.D.), 13+ years (M.S.), or 15+ years (B.S.) of relevant industry experience in pharma, medtech, or More ❯
london (city of london), south east england, united kingdom
Machnet Medical Robotics
problem definition to post-launch operations, in alignment with product and patient outcomes. What We’re Looking For: Degree in Computer Science, Machine Learning, Artificial Intelligence, Biomedical Engineering, Bioinformatics, ComputationalBiology, or a related field (Ph.D. preferred). Minimum of 10+ years (Ph.D.), 13+ years (M.S.), or 15+ years (B.S.) of relevant industry experience in pharma, medtech, or More ❯
a key role in analysing RNAseq data (bulk, single-cell, spatial), developing methodologies and supporting research activities . About you The successful candidate must have: Master's degree in ComputationalBiology, Bioinformatics, Computer Science, or related subject Proven experience of bioinformatics analyses and interpretation in one or more of the following key areas ( NGS analysis of WES/ More ❯
