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 ❯
and production needs Provide thought leadership and mentorship within the team Represent Basecamp Research at conferences, publications, and collaborations About You (Required): Graduate degree in Computer Science, Machine Learning, ComputationalBiology, or related field 5+ years in AI/ML research or engineering, with at least 4 years in a technical lead or 3 years in management Strong … publication record or expertise in generative AI, deep learning, or computationalbiology Experience applying AI to biological problems, especially protein design or genomics Proven success in leading AI research and translating it into practical applications Excellent communication skills for diverse audiences Experience training large generative models on HPC GPUs or cloud platforms like AWS, Lambda, Azure Strong problem More ❯
thought leadership and mentorship within the team Represent Basecamp Research's AI capabilities at conferences, publications, and collaborations About You (Required): A graduate degree in Computer Science, Machine Learning, ComputationalBiology, or related field 5+ years in AI/ML research or engineering, with at least 4 years in a technical leadership role or 3 years in management … Strong publication record or expertise in generative AI, deep learning, or computationalbiology Experience applying AI to biological problems, especially protein design or genomics Proven success in leading AI research projects and translating research into applications Excellent communication skills for diverse audiences Experience training large generative models on HPC GPUs or cloud platforms (AWS, Lambda, Azure) Strong problem More ❯
domain. Why you? Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: A degree in a quantitative or engineering discipline (e.g., computer science, computationalbiology, bioinformatics, engineering, among others); OR equivalent work experience as a professional AI/ML engineer. Experienced in developing deep learning models for solving real world scientific problems. … with video analysis and tracking Experience/familiar with different modules of an ML product interacting with each other asynchronously (say API calls or shared database) Knowledge in disease biology, molecular biology and biochemistry Experience with biological data (e.g., genomics, transcriptomics, epigenomics, proteomics, etc.) Closing Date for Applications: Sunday 17th August 2025 (COB) Please take a copy of More ❯
Data Scientist - Cross Indication London About Relation Relation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning … drive transformative insights into drug discovery. As a member of the Cross Indication team, you will contribute to identifying and validating drug targets through advanced data analysis and innovative computational approaches. The Cross Indication team collaborates across both Relations internal and partnership programmes, applying state-of-the-art computational methods to integrate diverse datasets. By combining biological insights … with advanced data analytics, the team drives target discovery and validation initiative. Your responsibilities Develop and implement computational workflows for analysing multi-omics data. Perform data integration to uncover disease mechanisms and identify actionable targets. Design statistical models for analysing transcriptomics and other omics datasets. Collaborate closely with experimental and machine learning teams to validate computational insights. Present More ❯
our other UK offices (London, Cardiff or Cambridge). We are looking for a Data Scientist who has: a degree in a relevant discipline or equivalent experience (e.g. bioinformatics, computationalbiology, computer science). A PhD is preferred, preferably in life sciences prior experience in a biomedical/pharmaceutical or medical communications environment expert-level proficiency in Python More ❯
Data Scientist - Single Cell London About Relation Relation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning … you will contribute advanced data analysis and domain expertise to challenge ML models that aim to predict and explain cellular decision-making in disease. Your responsibilities Develop and implement computational workflows for integrating and analysing multi-omics data. Design statistical models for analysing transcriptomics and other omics datasets. Use domain and data insights to design meaningful and challenging evaluation … tasks for ML models. Collaborate closely with ML modellers to develop model architectures. Collaborate with experimental teams to design and validate computational hypotheses. Present findings and methodologies to internal stakeholders and contribute to publications. Professionally, you have PhD in computationalbiology, bioinformatics, or a related quantitative field. Extensive experience in multi-omics data analysis, including transcriptomics. Proficiency More ❯
has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed. Our name comes from the belief that there is an underlying symmetry between biology and information science. By harnessing AIs powerful capabilities, we can use it to model complex biological phenomena to help design novel molecules, anticipate how drugs will perform and develop … innovating on model architecture and developing cutting-edge capabilities to advance rational drug design. Every day, and with each new breakthrough, were getting closer to the promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI. Machine Learning Performance Engineer, London Your impact This is an exciting opportunity for … your existing engineering experience whilst learning from those around you, to apply novel techniques and ideas to newly encountered model and systems performance optimizations, as well as machine learning, computationalbiology and chemistry problems. What you will do Develop custom GPU kernels maximising utilisation and application performance. Help design, implement, and optimize distributed training and inference strategies. Implement More ❯
