Bioinformatics Engineer, London

Isomorphic Labs

Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease. The future is coming. A future enabled and enriched by the incredible power of machine learning. A future in which diseases are curtailed or cured starting with better and faster drug discovery.  Come and be part of an interdisciplinary team driving groundbreaking innovation and play a meaningful role in contributing towards us achieving our ambitious goals, while being a part of an inspiring and collaborative culture. The world we want tomorrow is the one we’re building today. It starts with the culture at this company. It starts with you.    ABOUT ISO Isomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning AlphaFold system. Since then, our interdisciplinary team of drug discovery experts and machine learning specialists 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 AI’s powerful capabilities, we can use it to model complex biological phenomena to help design novel molecules, anticipate how drugs will perform and develop innovative medicines to treat and cure some of the world’s most devastating diseases. We have built a world-leading drug design engine comprising AI models that are capable of working across multiple therapeutic areas and drug modalities. We are continually innovating on model architecture and developing cutting-edge capabilities to advance rational drug design. Every day, and with each new breakthrough, we’re getting closer to the promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI.   YOUR IMPACT  This is an exciting opportunity for versatile software engineers to be working in a fast-paced and research-facing environment within a small team. You will contribute significantly to a world-class ML-based software platform set to transform the bio-pharmaceutical world. We need creative thinkers ready to redefine how drugs are designed with the power of AI. Working in a highly creative, iterative environment, you will be partnering with leading engineers, scientists and ML researchers to build the critical platform driving that transformation. This is a newly created role and you will need to use your previous experience and show initiative in order to fully carve out your contribution. WHAT YOU WILL DO Depending on your experience and background, you can be expected to work on one or more of the following domains: * Software engineering of data services for data storage and integration layers * Ingestion, transformation and serving of scientific data for scientific applications * Building a state-of-the-art platform for conducting research with high velocity and reliability * Collaboration with scientist and ML researchers on project work SKILLS AND QUALIFICATIONS  ESSENTIAL * Experience in data engineering and service-oriented architectures * Extensive software engineering experience with software design and architecture skills * Extensive enterprise programming experience writing production code using Python * Experience building, deploying, and maintaining secure and scalable production systems on GCP * Experience with Kubernetes and cloud computing * Demonstrated ability to work in multi-disciplinary teams and environments * Great degree of adaptability and a willingness to work across domains and different parts of the tech stack when needed * Demonstrate ongoing career progression / trajectory and a passion for learning * Msc in computer science, or equivalent experience NICE TO HAVE In addition to the essential qualifications listed above, we also expect successful candidates to have some of the following qualifications: * Experience with the management of scientific and experimental wet lab data in a pharma context * Experience with life sciences data, including bioinformatics, computational chemistry, and biomedical research data * Experience building backend systems for web applications, using technologies such as Django, SQLalchemy, Pydantic, PostgreSQL, DBT * Experience designing, implementing and maintaining relational data models with Python-based interfaces * Hands-on experience with cloud engineering in a compute-heavy environment, preferably on GCP CULTURE AND VALUES We are guided by our shared values. It's not about finding people who think and act in the same way. These values help to guide our work and will continue to strengthen it.  Thoughtful Thoughtful at Iso is about curiosity, creativity and care. It is about good people doing good, rigorous and future-making science every single day. Brave Brave at Iso is about fearlessness, but it’s also about initiative and integrity. The scale of the challenge demands nothing less. Determined Determined at Iso is the way we pursue our goal. It’s a confidence in our hypothesis, as well as the urgency and agility needed to deliver on it. Because disease won’t wait, so neither should we. Together Together at Iso is about connection, collaboration across fields and catalytic relationships. It’s knowing that transformation is a group project, and remembering that what we’re doing will have a real impact on real people everywhere. CREATING AN EXTRAORDINARY COMPANY We believe that to be successful we need a team with a range of skills and talents. We're building an environment where collaboration is fundamental, learning is shared and every employee feels supported and able to thrive. We value unique experiences, knowledge, backgrounds, and perspectives, and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding) or any other basis protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. HYBRID WORKING It’s hugely important for us to share knowledge and build strong relationships with each other, and we find it easier to do this if we spend time together in person. This is why we follow a hybrid model, and would require you to be able to come into the office 3 days a week (currently Tuesday, Wednesday, and one other day depending on which team you’re in). If you have additional needs that would prevent you from following this hybrid approach, we’d be happy to talk through these if you’re selected for an initial screening call. Please note that when you submit an application, your data will be processed in line with our privacy policy. >> Click to view other open roles at Isomorphic Labs

Engitix

YOUR MISSION Engitix Therapeutics is a London-based biotechnology company unlocking the extracellular matrix (ECM) as a source of novel therapeutic targets for fibrosis and cancer. Our proprietary platform integrates proteomics, and transcriptomics data on patient tissue samples with rich clinical metadata to identify and validate targets in the tumour microenvironment and fibrotic tissue.    We are seeking a Bioinformatician to join the Data Sciences team, supporting a diverse portfolio of internal and collaborative research programmes. The role will work closely with cross-functional teams across translational and computational biology, with a primary focus on fibrosis and oncology research.    The successful candidate will contribute to the analysis and interpretation of complex multi-dimensional datasets, integrating clinical and molecular data to support research and therapeutic development across the portfolio. Working as part of a highly collaborative and multidisciplinary team, the role will support programmes focused primarily on fibrosis and oncology. The ideal candidate will be self-motivated, proactive, and collaborative, with strong scientific curiosity, enthusiasm, and a commitment to delivering high-quality research.   Key responsibilities:   * Collaborate with Engitix scientists and external partners to design and implement analytical strategies, deliver biological insights and high quality data visualisations * Work closely with multidisciplinary teams to refine scientific questions, communicate analytical approaches and findings, and support decision-making across research programmes  * Develop, maintain, and optimise scalable and reproducible bioinformatics analysis pipelines  * Apply and develop analytical approaches for the integration, analysis, and interpretation of complex multi-modal biological and clinical datasets  * Contribute to computational strategy and best practices in data management, reproducibility, documentation, and FAIR data principles  * Support bioinformatics activities across a diverse portfolio of fibrosis- and oncology-focused programmes  YOUR PROFILE In addition to strong communication, organisational, and time management skills, you will have:  * A postgraduate degree in Bioinformatics, Computational Biology, Biostatistics, or a related quantitative discipline with 3+ years experience working in industry or a demonstrated record of top-tier publications * Strong programming and scripting skills in R and Python  * Previous experience of performing bulk transcriptomics analysis and at least one of:-  * Single-cell and/or spatial transcriptomics  * Molecular imaging and spatial proteomics  * Multi-omics integration and analysis * Strong foundation in statistics and/or machine learning, with experience applying methods such as regression, classification, clustering, dimensionality reduction, and survival analysis  * Ability to work effectively in a collaborative, cross-functional research environment  * Experience supporting translational research programmes in fibrosis or oncology, desirable in IBD * Experience collaborating with external partners or working in multidisciplinary project teams Desirable experience: * Experience applying modern AI/ML methods to complex biological or biomedical datasets * Familiarity with quantitative proteomics and mass spectrometry-based technologies(e.g. LFQ and TMT) * Experience working with cloud computing platforms (e.g. AWS) and workflow management systems (e.g. Nextflow) WHY US? * Be part of a motivated, dynamic team supporting cutting edge drug discovery   * Constant opportunities to learn, grow, and explore the many opportunities for data science to have impact on drug discovery and development  * State of the art offices at The Westworks, White City London   * Competitive reward package including private medical insurance, bonus, pension, and much more!

Relation Therapeutics

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 Join our machine learning group as a Research Engineer and help drive the development, deployment, and scaling of ML and computational systems across the company. You’ll work at the intersection of research and engineering—improving research workflows, supporting rapid experimentation, and enabling teams to push the limits of modern ML. You’ll collaborate with machine learning scientists, data scientists, platform engineers, and other domain experts across the organisation. Depending on priorities, you may work within a specific ML team or operate in a cross-functional capacity. Based at our wet/dry lab and headquarters in central London, you’ll tackle challenges involving large datasets, complex models, and high-performance compute. Your work will strengthen our training and inference pipelines, improve our software foundations, and optimise our hybrid on-prem/cloud environment, which includes dedicated DGX clusters and collaboration with partners like NVIDIA. This role offers a chance to shape the systems and tools that power cutting-edge ML research. DAY TO DAY, YOU WILL * Work with interdisciplinary teams to solve challenges across data engineering, ML engineering, and software engineering. * Build and improve data processing, transformation, and loading systems to support model training and inference at scale. * Develop and maintain high-quality research and production codebases to enable rapid, reproducible experimentation. * Advance our software engineering practices by optimising systems, streamlining pipelines, and improving robustness across workflows. PROFESSIONALLY, YOU WILL HAVE * BSc/MSc/PhD in CS/ML/Engineering (or related), 2+ years industry experience. * Solid understanding of algorithms, data structures, complexity. * Proficiency in Python with clean, maintainable coding practices. * Familiarity with PyTorch and common scientific Python libraries. * Solid understanding of ML fundamentals and modern deep learning. * Experience training, evaluating, and iterating on models. * Familiarity with AWS/GCP, Docker, Kubernetes, and CI/CD. * Familiarity with orchestration tools (Airflow/Prefect) and model-serving frameworks. Bonus experience * Exposure to biology/bioinformatics or ML for scientific domains. 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.