Chemify Ltd

Chemify is revolutionising chemistry. We are creating a future where the synthesis of previously unimaginable molecules, drugs, and materials is instantly accessible. By combining AI, robotics, and the world's largest continually expanding database of chemical programs, we are accelerating chemical discovery to improve quality of life and extend the reach of humanity. Job Description We are seeking an experienced Project Manager to join Chemify at a critical stage of growth. This is a high-impact role working closely with the Executive Leadership Team to translate strategic priorities into well-defined, executable projects across the company. You will own and deliver a portfolio of company-wide and operationally focused initiatives, many of which originate directly from the executive board. These projects will span operational efficiency, platform development, cross-functional process improvement, and scaling the business. You'll operate as the central orchestration point for complex, multi-disciplinary delivery across software, hardware, operations, and chemistry teams. While this role does not require scientific or chemistry expertise, it does require a highly capable Project Manager who is comfortable working at executive level, driving clarity, accountability, and momentum in fast-paced, ambiguous environments. If you thrive on bringing structure to complexity, enjoy working across diverse teams, and are motivated by helping ambitious organisations execute strategy at scale, we'd love to hear from you. Key Responsibilities Own and deliver a portfolio of executive-sponsored projects, translating strategic objectives into clear scopes, plans, milestones, and outcomes. Lead complex, cross-functional initiatives spanning Operations, Platform (Software & Hardware), Engineering, and Process. Act as the primary coordination point between executives, project teams, and delivery owners, ensuring alignment and accountability. Drive projects focused on improving operational efficiency, throughput, reliability, and scalability. Partner closely with Software and Hardware teams to enable platform development, coordinating roadmaps, timelines, and dependencies. Establish and maintain appropriate project governance, delivery cadence, and reporting structures. Identify, manage, and mitigate risks, dependencies, and bottlenecks that could impact delivery. Manage organisational change associated with large projects, ensuring teams are prepared and aligned. Provide clear, concise updates on progress, risks, decisions required, and outcomes to senior stakeholders. Continuously improve project delivery standards, contributing to the evolution of PMO processes, tools, and best practices. Lead by influence rather than authority, fostering a culture of transparency, ownership, and execution excellence. What you'll bring Extensive experience as a Project Manager delivering complex, cross-functional projects. Proven experience working directly with executive leadership and senior stakeholders. Strong background in operationally focused initiatives and company-wide change projects. Demonstrated ability to manage projects involving both software and hardware teams. Excellent planning, organisational, and risk management skills. Project Management Certification (PMP) would be a plus. Comfort operating in high-growth, startup or scale-up environments with ambiguity and pace. Exceptional written and verbal communication skills (English fluency). A pragmatic, outcomes-focused mindset with the ability to balance speed and rigour. Calm, credible, and confident when engaging at executive level. Beneficial Skills Experience establishing or operating within a PMO environment. Strong understanding of delivery governance, prioritisation, and dependency management. Experience driving operational efficiency or transformation projects. Familiarity with Agile, hybrid, or waterfall delivery models. Data-driven approach, using metrics to inform decisions and measure impact. Experience working in deep-tech, platform, or highly technical organisations. Advanced Research Centre, University of Glasgow, 11 Chapel Lane, G11 6EW

A pioneering drug discovery company in Glasgow is looking for a Senior Computer-Aided Drug Design (CADD) Software Developer. This role focuses on building innovative tools by integrating advanced methodologies in molecular modelling and computational chemistry. The ideal candidate will have strong expertise in Python, C/C++, and cheminformatics, with at least 5 years in software engineering within a scientific context. The company promotes a dynamic and collaborative environment, empowering scientists to enhance drug discovery processes.

Senior Computer-Aided Drug Design (CADD) Software Developer About Chemify Chemify is revolutionising chemistry. We are creating a future where the synthesis of previously unimaginable molecules, drugs, and materials is instantly accessible. By combining AI, robotics, and the world's largest continually expanding database of chemical programs, we are accelerating chemical discovery to improve quality of life and extend the reach of humanity. Job Description: We seek a talented and motivated Senior Computer-Aided Drug Design (CADD) Software Developer to build and enhance our next-generation platform. You'll be joining a dynamic, cross-disciplinary team of computational scientists, chemists, medicinal chemists, software engineers, data engineers, and AI researchers dedicated to accelerating the discovery of new molecules. We are in a fast-paced, innovative environment, and our product roadmaps are delivered in tight iterations. To be successful in this role, you'll be comfortable tackling complex scientific challenges and collaborating closely to create powerful, intuitive tools for drug design and beyond. Our software and robotic platforms empower scientists to design, analyze, and optimize novel therapeutic candidates through advanced computational tools and make them for real in our automated robotic-assisted synthesis platform. You will develop and integrate cutting-edge CADD methodologies, from molecular modelling and simulation to machine learning-based tools, into a cohesive and user-friendly application suite. We are using an API-first architecture, and you'll need a deep understanding of scientific software development, a user-centric mindset, and proficiency in Python, C++, CUDA and relevant cheminformatics toolkits. If you are passionate about solving complex problems at the intersection of chemistry, computer science, and medicine and are energized by working with scientists to create tools that make a real-world impact, we'd love to have you join our team. Key Responsibilities: Collaborate with a cross-disciplinary team of computational chemists, chemists, medicinal chemists and AI/data scientists to translate complex scientific requirements into robust and impactful software features. Own the full lifecycle of feature development, from conceptualization and algorithm implementation to building intuitive user interfaces and deploying scalable backend services. Design, develop, and maintain software for molecular modelling, virtual screening, molecular dynamics, and predictive modelling (QSAR/ML). Collaborate with the Infrastructure team to ensure computational workflows are optimized for performance, scalability, and cost-effectiveness on cloud and HPC environments. Champion best practices for scientific software development, including rigorous testing, validation, code documentation, and ensuring the reproducibility of computational results. Mentor junior colleagues and share your knowledge of CADD, cheminformatics, and software engineering with the wider team. Contribute to team-wide initiatives, including code reviews, design discussions, and evaluating new computational methods and technologies. What you'll bring: MSc or PhD, or equivalent experience, in Computational Chemistry, Cheminformatics, Physics, Biophysics, Computer Science, or a related field with a strong focus on molecular modelling, molecular understanding, or related computational approaches across chemistry and life sciences. 5+ years of commercial or academic software engineering experience, preferably in a scientific or drug discovery context. Deep proficiency in Python and extensive experience with scientific computing and data science libraries (e.g., NumPy, SciPy, Scikit-learn). Proficiency in C/C++ for developing or integrating high-performance computational chemistry algorithm. Experience with parallel programming and GPU acceleration using CUDA for scientific computing applications. Experience building scalable and robust backend services and APIs using modern Python frameworks, particularly FastAPI. Hands-on experience with core cheminformatics toolkits such as RDKit. Proven experience building user-facing applications or components, with a strong interest in UI/UX for scientific software. Experience with modern web frameworks React is highly desirable. Knowledge of relational databases (e.g., PostgreSQL) and experience writing complex SQL queries for scientific data. Familiarity with cloud computing environments (AWS/GCP/Azure), especially services related to batch processing, data storage, and high-performance computing (HPC). Proven ability working with containerized applications (Docker) and an understanding of CI/CD principles. Beneficial Skills: Practical experience with molecular modelling software and libraries (e.g. OpenMM, GROMACS, MDAnalysis, PyMOL). Experience applying machine learning (especially deep learning, GNNs, or generative models) to chemical or biological data. Knowledge of advanced CADD techniques such as Free Energy Perturbation (FEP), docking, pharmacophore modelling, or quantum mechanics (QM). Familiarity with DevOps practices and Infrastructure as Code tools (e.g., AWS CDK, Terraform). A portfolio of projects or open-source contributions demonstrating your skills in scientific software development.

Chemify Ltd in Glasgow is seeking a Senior / Staff Machine Learning Scientist to apply advanced AI/ML across its innovative platform. Applicants should have a PhD and extensive hands-on experience in ML, particularly with generative models and computer vision. You will work on real-world problems, contributing to molecular design and synthesis. The company offers a unique opportunity to impact cutting-edge technology in chemistry and robotics, working within a collaborative and ambitious environment.

Location: Glasgow or London (King's Cross) Workstyle: Hybrid Reports to: CTO About Chemify Chemify is revolutionising chemistry. We are creating a future where the synthesis of previously unimaginable molecules, drugs, and materials is instantly accessible. By combining AI, robotics, and the world's largest continually expanding database of chemical programs, we are accelerating chemical discovery to improve quality of life and extend the reach of humanity. Our newly opened Chemifarm facility in Glasgow operates a growing fleet of advanced robotic systems that automate synthesis, optimisation, and library generation. As we scale up to globally distributed facilities, we are undertaking a foundational transformation of data integrates and scales across our platform. The Role We are looking for a Principal Data Architect to design and lead the evolution of Chemify's data architecture into a performant, distributed, well-governed, and enterprise-ready data ecosystem. Your mission is to define & implement how data flows across our platforms, how it is stored, synchronized, governed, and shared, both within Chemify and with external partners while complying with contractual, regulatory, and security constraints. This is a foundational role: your decisions will shape how Chemify scales from a single Chemifarm to a global network of automated laboratories that can safely collaborate with Enterprise customers and research partners. If you enjoy problem solving complex technical challenges that blend system Architecture, Data engineering and Distributed systems, are a natural communicator and are energized by working closely with scientists using cutting edge technologies, then we'd love to welcome you to our team. Key Responsibilities Define the enterprise data architecture for scientific and operational data to ensure it is "ML-ready" from the moment of ingestion. Establish a Data Lakehouse architecture on AWS to manage the massive scale of raw, unstructured "dark data" from robotic sensors (spectra, video, logs, etc.). Lead the strategic design and implementation of a unified chemical data fabric that integrates molecular structures, retrosynthetic reaction networks, and high-frequency robotic telemetry. You will be responsible for architecting a versioned Feature Store that standardizes chemical ontologies and pre-computed molecular descriptors, ensuring a seamless, high-fidelity data loop between robotic laboratory execution and AI-driven discovery engines. Advanced Relational & Semantic Modeling Architect Graph Data Models representing complex chemical reaction networks, optimized for synthesis AI and automated manufacturing planning. Lead the development of Foundational Semantic Ontologies that allow AI models to reason across disparate chemical data types. Design Vector Database integrations (e.g., pgvector, Pinecone) to facilitate similarity searches across billions of chemical entities. Industrial Telemetry & Edge Synchronization Architect the ingestion of high-frequency robot and sensor telemetry using MQTT/Streaming patterns, ensuring zero loss of "negative data" (failed experiments) critical for model training. Design a globally distributed data system that synchronizes local lab "Edge" data with global AI training clusters while maintaining consistency guarantees. Governance & Enterprise Readiness Own the data governance framework, specifically defining Data Tenancy and Partitioning models for Fortune 500 clients to ensure strict IP isolation. Architect secure, compliant Data Sharing patterns for external research partners, translating legal/contractual constraints into technical controls. Drive the data architecture roadmap toward SOC 2 and ISO 27001 readiness, focusing on auditability and access control for training data. About You You are an experienced Architect (e.g., TOGAF, AWS Certified Solutions Architect, or equivalent) with strong Python expertise in production data. You have a natural curiosity for complex scientific domains and thrive on creating lasting value through building modern data engineering solutions. We expect you to bring BSc or equivalent experience, preferably in a Data Engineering-related field. 8+ years commercial Data Architect & python experience. Deep experience with PostgreSQL, ideally in AWS RDS. Proven experience designing high-throughput telemetry / IoT / industrial data systems generating very large volumes of time-series data. Hands on understanding of stream ingestion patterns (MQTT). Experience with graph or Vector databases (Neo4j, Pinecone, pgvector) and modelling complex, highly relational domains. Proven experience designing distributed data systems across multiple services, teams, or locations. Demonstrable experience building impactful solutions with: Data governance frameworks Data tenancy and segregation models Data consistency and replication patterns Secure data sharing between organizations Beneficial Skills Prior involvement in SOC 2, ISO 27001 compliance programmes, particularly from a data architecture perspective. Exposure to scientific, chemical, or manufacturing data environments. Familiarity with modern data stack components (e.g., data lakes, streaming, or batch/real-time pipelines). Chemistry or AI Drug Discovery domain knowledge is a real differentiator for us Why Join Chemify? Impact You will help build the infrastructure that enables digital chemistry at scale - accelerating discovery, improving reproducibility, and unlocking new possibilities in science and medicine. Autonomy Reporting directly to the CTO, you will have meaningful influence over the technical direction and data strategy of a Series B deep tech rocket ship. Ambition We are scaling rapidly, investing in world class infrastructure, and tackling problems that sit at the frontier of robotics, AI, and chemistry. You will have the resources and mandate to build the right foundations for the future. Advanced Research Centre, University of Glasgow, 11 Chapel Lane, G11 6EW

Chemify is revolutionising chemistry. We are creating a future where the synthesis of previously unimaginable molecules, drugs, and materials is instantly accessible. By combining AI, robotics, and the world's largest continually expanding database of chemical programs, we are accelerating chemical discovery to improve quality of life and extend the reach of humanity. Job Description: We seek a talented and motivated Senior AI/ML Data Scientist to pioneer the development and application of cutting-edge machine learning models for computer-aided drug design (CADD) and small molecule discovery. You will be joining a dynamic, cross-disciplinary team of computational scientists, medicinal chemists, and engineers. Your primary focus will be on architecting, training, and deploying sophisticated models to predict molecular properties, generate novel models, and ultimately accelerate our drug discovery pipelines. To be successful in this role, you will need deep expertise in modern machine learning, particularly generative AI (Transformers, Diffusion Models), Graph Neural Networks, and predictive modeling. You will leverage your skills to tackle complex scientific challenges, working with vast and diverse chemical and biological datasets. If you are passionate about applying state-of-the-art AI to solve fundamental challenges in chemistry and are driven to see your work make a real-world impact on discovering new medicines, we'd love to have you join our team. Key Responsibilities: Design, develop, and optimize state-of-the-art generative models (e.g., Transformers, GNNs, Diffusion Models) for robotic tasks synthetic routes. Architect and implement scalable MLOps pipelines for preprocessing large-scale chemical and biological datasets, model training, and rigorous evaluation. Translate cutting-edge research in AI/ML into practical solutions that address critical challenges in our drug discovery projects, such as property prediction (ADMET/QSAR), reaction prediction, and binding affinity prediction. Collaborate closely with computational chemists, medicinal chemists, and software engineers to define project goals, interpret model outputs, and integrate AI-driven insights into our discovery platform. Design and execute robust experiments to evaluate model performance, focusing on chemical validity, novelty, synthesizability, and predictive accuracy against experimental data. Clearly communicate complex technical concepts, model results, and strategic recommendations to both technical and non-technical stakeholders. Stay at the forefront of AI for drug discovery, foundation models for science, and multimodal learning, continuously identifying and championing opportunities to enhance our capabilities. What you'll bring: MSc or PhD with 5+ years of industry or academic experience in Computer Science, Machine Learning, Computational Chemistry/Biology, or a closely related field. Demonstrated proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. Deep theoretical and practical knowledge of modern machine learning architectures, including Transformers, Graph Neural Networks (GNNs), and generative models (VAEs, GANs, Diffusion Models) as applied to scientific problems. Proven ability to lead complex AI/ML projects from concept to deployment in a scientific or drug discovery context. Extensive experience working with large-scale molecular datasets (e.g., SMILES, 3D conformations), biological data (e.g., protein sequences, assay data), and other scientific data formats. Experience with efficient model training and fine-tuning techniques, such as LoRA, quantization, distillation, and model pruning. Strong background or hands-on experience applying ML to problems involving protein structures, small molecule interactions, or related biological data. Familiarity with scalable computing environments, GPU acceleration, and distributed training. Excellent communication and interpersonal skills for effective collaboration in a multidisciplinary team. A collaborative mindset, strong communication skills, and the ability to work effectively within a cross-disciplinary team. Excellent problem-solving skills and a proactive, can-do attitude. An eagerness to learn new scientific concepts, computational methods, and software engineering practices from experienced mentors. Good understanding of version control with Git. Beneficial Skills: Hands-on experience with cheminformatics toolkits such as RDKit. Experience with Retrieval-Augmented Generation (RAG) systems, including vector databases (e.g., Redis, FAISS, Milvus, Pinecone) for querying large chemical or biological databases. Experience with Protein/DNA language models (e.g., ProtBERT, ESM, Evo) or protein structure prediction models (e.g., AlphaFold-like approaches). Experience with evaluation frameworks for reaction and synthetic route design, including human-in-the-loop assessment and metrics for novelty, diversity, and feasibility of synthetic pathways. Strong experience with relational and non-relational databases (SQL/NoSQL), including data modeling and efficient querying for large-scale AI workflows. A portfolio of projects or open-source contributions (e.g., a GitHub profile) that demonstrates your skills and passion for AI/ML development. Advanced Research Centre, University of Glasgow, 11 Chapel Lane, G11 6EW

A leading biotechnology firm in Glasgow is seeking a Senior AI/ML Data Scientist to leverage cutting-edge machine learning for drug discovery. The ideal candidate will have a strong background in AI, particularly in generative models and large-scale datasets. Responsibilities include designing models for predicting molecular properties and optimizing MLOps pipelines. A MSc or PhD in a relevant field with 5+ years of experience is required. This role offers a unique opportunity to impact the future of medicine in a dynamic team environment.