Scientist, Model Systems

Relation Therapeutics

Senior Scientist Model Systems About Relation Relation is a sector defining TechBio 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 from patient tissue, functional assays, and machine learning to drive disease understanding, from cause to cure. We are scaling rapidly and building a team of exceptional individuals to push the boundaries of drug discovery. You will work in highly interdisciplinary teams where biology, computation, and engineering come together to solve complex problems that have not been solved before. Our state-of-the-art wet and dry labs in the heart of London are designed to accelerate this integration and translate insight into impact. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the basis of gender, sexual orientation, marital or civil partnership status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. By joining Relation, you will help define how medicines are discovered and deliver meaningful impact for patients. The opportunity At Relation, we are building proprietary large-scale datasets to advance the prediction of disease-associated genes using cutting-edge functional genomics and machine learning approaches. We are offering an exciting opportunity for an experienced Senior Scientist to drive our automation capabilities in running large scale perturbation studies on mono- and co-culture systems of fibrotic disease. In this role, you will be at the forefront of scientific discovery and make a meaningful impact in the field of biology, working at the intersection of science and technology within a rapidly growing TechBio company. The successful candidate will contribute significantly to capture the cellular response using a multimodal readout strategy that includes transcriptomics, proteomics and molecular signatures of functional phenotype. You will partner closely with colleagues across Discovery and Technology, whilst still being provided the opportunity to expand your skills and advance your knowledge-base on assay development, screening and automation. Day to day, you will have the following key responsibilities: * Integrate human primary cell lines into robust monoculture and co-culture models that are capable of large batch production and compatible for high throughput readouts, with the necessary quality control (QC). * Characterise and optimise multiplexed imaging and biochemical assays that provide readouts for functional phenotyping. * Transition manually developed perturbation models into an automated arrayed screen. * Contribute to the development and implementation of new technologies, workflows, and operational infrastructure. * Carrying out data analysis and relevant quality assurance protocols. * Communicate outcomes of your work to team members and external parties in written or verbal reports. * Stay up to date of relevant scientific literature and incorporate new findings into research project planning and experiment design. * Proactive identification of potential project issues and communication of proposed solutions to the team. * Communicate closely with cross-functional colleagues across biology, machine learning and automation disciplines and assist with solving complex scientific challenges and accelerate programme delivery. Professionally, you will have * PhD with 5+ years experience and demonstrable knowledge in assay development and/or target validation. * Strong background in culturing of primary and immortalised cell lines as well as functional disease relevant endpoints with the aim of ensuring required reproducibility and sensitivity in those assays. * Hands-on experience in image capture and data interpretation using High content imaging with cell painting. * Scientific knowledge of fibrosis across various tissues. * Knowledge of CRISPR/Cas9 gene editing for modulating gene expression in 2D and 3D cell systems. * Prior experience running pathway-modifying perturbation screens. * Experience with automated laboratory systems. * Extensive knowledge in industry-standard large ‘omic dataset handling and recording keeping. * Excellent communication, influencing and interpersonal skills, with the ability to thrive in a collaborative, cross-functional, matrixed environment * High motivation, scientific rigor and be able to comfortably operate in a fast-paced, evolving biotech setting Personally, you * Are comfortable working in a matrixed environment, balancing multiple stakeholders and contributing effectively across teams. * Take ownership of your work, proactively seek opportunities to contribute, and enable others to do their best work. * Communicate openly and directly, give and receive feedback constructively, and handle challenging conversations with respect. * Actively seek out diverse perspectives, build strong working relationships, and contribute to shared goals across teams. * Embrace challenges with openness and resilience, set high standards for yourself, and strive to deliver meaningful outcomes. Working Style & Culture at Relation At Relation, we operate in a matrixed, interdisciplinary environment, where impact is driven through collaboration across scientific, technical, and operational domains. We collaborate, and you will partner with colleagues across multiple teams and projects, contributing your expertise while aligning to shared company priorities. We work together and win together! The patient is waiting! Recruitment Agencies Please note that Relation does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation will not be liable for any fees associated with unsolicited CVs. Relation is a committed equal opportunities employer.

PhysicsX

ABOUT US PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. NOTE: WE ARE CURRENTLY RECRUITING FOR MULTIPLE LEVELS AND POSITIONS, HOWEVER PLEASE ONLY APPLY FOR THE ROLE THAT BEST ALIGNS WITH YOUR SKILLSET AND CAREER GOALS. WHAT YOU WILL DO  * Work closely with a multi-disciplinary team ranging form computational chemists with varied domain expertise to machine learning engineers to employ and advance the state-of-the-art machine learning techniques for solving a variety of problems in materials. * Develop and apply machine learning interatomic potentials (MLIPs) to model atomistic systems, leveraging and extending state-of-the-art frameworks and benchmark datasets. * Design and run experiments on large-scale chemistry and materials datasets, iterating on model architectures to improve accuracy, transferability, and generalisation across systems. * Own research workstreams at different levels of scope, depending on seniority, from model development through to evaluation on real-world materials problems. * Collaborate with the broader research team to ensure your models are robust, reproducible, and translatable into production-ready pipelines. * Work on high-performance computing infrastructure to handle the scale and complexity of atomistic simulations and generative modelling tasks. * Communicate your work internally and externally — through paper publications, industry workshops, and customer conversations — tailoring the message for both academic and non-academic audiences. * Mentor colleagues with less experience in computational chemistry or materials ML as the team grows.   WHAT YOU BRING TO THE TABLE * Enthusiasm for applying machine learning to real-world materials science and computational chemistry challenges, with a genuine interest in seeing your research have industry impact. * Ability to scope and effectively deliver research projects, balancing rigour with pragmatism. * Strong problem-solving skills and the ability to move quickly from a materials or chemistry challenge to a tractable computational formulation. * Excellent collaboration and communication skills — with research colleagues, engineers, and customers alike. * PhD in computational chemistry, physics, materials science or a closely related field. * Hands-on experience in using and fine-tuning at least one MLIP backend such as MACE or FAIRChem/OCP and their integration into larger computational framework. * Direct experience with established chemistry and materials benchmark datasets, such as OC20, OC22, or the Materials Project. * Proficiency in Python and experience working in high-performance computing environments as well as experience in contributing towards a large multi-module codebase * Experience with generative models preferably applied to molecular or materials systems. WHAT WE OFFER Build what actually matters Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind. Learn alongside exceptional people Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home. Influence over hierarchy We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected. Sustainable pace, long-term ambition Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person. And it doesn’t stop there … 🚀 Equity options - share meaningfully in the company you’re helping to build. 🏦 10% employer pension contribution - because investing in future matters. 🍽️ Free office lunches - to keep you energised and focused. 👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most. 🍼 YellowNest nursery scheme - to help working parents manage childcare costs. ☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters. 🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind. 💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing. 👀 Eye tests - because good work depends on good health. 📈 Personal development - dedicated support for learning, development, and leveling up over time. 💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it. 🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener. 🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric. 🔎 Watch this space, we’re continuing to build this as we grow…   We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.    We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.

SpAItial

SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and the simulation of reality. We are moving beyond 2D pixels to build models that natively understand the physics and geometry of our world. Our mission is to redefine how industries, from robotics and AR/VR to gaming and cinema, generate and interact with physically-grounded 3D environments. We're looking for bold, innovative individuals driven by a passion for pushing the boundaries of generative 3D AI. You should thrive in an environment where creativity meets technical challenge and be fearless in tackling the hardest problems in 3D world modeling. Our team is built on a foundation of dedication and a shared commitment to excellence, so we value people who take immense pride in their work and place the collective goals of the team above personal ambition. As a part of SpAItial, you'll be at the forefront of building World Models that bridge generative AI and the physical world. If you're ready to make an impact, embrace the unknown, and collaborate with a talented group of visionaries, we want to hear from you. We're seeking a Research Scientist focused on 3D diffusion. You will lead research to design, build, train, evaluate, and optimize diffusion-based generative models that produce high-quality 3D content from images, video, and other inputs, with an emphasis on world-scale scenes that are spatially consistent and physically grounded. Responsibilities * Design and develop diffusion-based methods for 3D generation from images, video, and other inputs. * Build, train, optimize, and evaluate 3D diffusion models, including research on architectures, losses, and sampling strategies. * Apply and adapt cutting-edge image and video diffusion backbones (e.g., Stable Diffusion, FLUX, WAN, or comparable systems) to 3D generation. * Implement and experiment with state-of-the-art 3D representations including point clouds, meshes, and 3D Gaussian Splatting. * Develop training pipelines and loss functions that improve geometry accuracy, visual fidelity, and spatiotemporal consistency. * Collaborate with researchers to integrate physics-aware priors and world model capabilities into diffusion systems. * Analyze model performance, debug failure cases, and iterate rapidly to improve quality and robustness. Key Qualifications: * PhD in computer science, computer vision, graphics, machine learning, or a related field. * Top-tier publication record at venues such as CVPR, ECCV/ICCV, NeurIPS, and SIGGRAPH. * Strong fundamentals in deep learning and generative modeling, in particular diffusion models and large transformer models. * Hands-on experience training diffusion models and working with cutting-edge image and video model stacks (e.g., Stable Diffusion, FLUX, WAN, or similar). * Solid understanding of 3D processing concepts such as camera geometry, depth, reconstruction, point clouds, meshes, or Gaussian splats. * Proficiency in Python and deep learning frameworks such as PyTorch, with experience in large-scale model training and optimization. * Ability to implement research ideas, run rigorous experiments, and ship reliable ML code. At SpAItial, we are committed to creating a diverse and inclusive workplace. We welcome applications from people of all backgrounds, experiences, and perspectives. We are an equal opportunity employer and ensure all candidates are treated fairly throughout the recruitment process.