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At Citi, we are pioneering the future of enterprise operations through innovative technology. Our COO-Technology Engineering and Architecture capability is at the forefront, responsible for architecting best-in class solutions, driving end to end transformation, and integrating cutting edge Generative AI solutions to unlock unparalleled efficiency, automation, and risk reduction across our global operations. The Team: Innovating at Scale Our team is a dynamic hub of engineers and innovators dedicated to solving complex business challenges with intelligent solutions. We believe in building robust, scalable products that deliver tangible impact. We foster an environment of continuous learning, rapid iteration, and strong engineering practices. Here, you'll work alongside passionate experts, leverage the latest in AI, and contribute to a culture that values clean code, thoughtful design, and direct, hands on problem solving. We're not just adopting AI; we're building the intelligence that powers our enterprise. The Role: We are seeking an exceptionalStaff Generative AI Engineerto join our team. This is a critical,deeply hands onrole for a seasoned software engineer with a profound passion for Generative AI, Large Language Models (LLMs), and agentic frameworks. You will be instrumental in designing, building, and deployingreal world, commercial production systems, not just proofs of concept. This is an Individual Contributor (IC) role with no direct people management responsibilities. Your expertise in containers (especially OpenShift), strong Python programming, and advanced LLM/agentic frameworks will be essential as you drive significant operational efficiencies and set new standards for engineering excellence. If you're a builder who thrives on technical challenge, delivering measurable impact, and mentoring others while getting your hands dirty with code, we want to hear from you. As a Staff Generative AI Engineer, you will: Architect & Build Production Systems:Lead the hands on development of sophisticated Generative AI applications, LLM powered solutions, and intricate agentic frameworks primarily usingPython. Your code will be clean, performant, scalable, and deployed directly into commercial production environments, solving real business problems. Pioneer Automation with Agents:Design and implement intelligent agents capable of understanding, reasoning, and orchestrating complex workflows to automate critical enterprise business processes, driving efficiency and reducing operational risk at scale. Master Containerized Deployments:Demonstrate deep comfort and expertise with container technologies, particularly deploying and managing applications withinOpenShiftenvironments. Drive Technical Direction & Ownership:Contribute significantly to the technical strategy and roadmap for Generative AI adoption, influencing architectural decisions and technology choices across our product portfolio, ensuring all solutions are production ready. Champion Engineering Excellence:Instill and uphold rigorous software engineering best practices, including robust testing, code reviews, documentation, and continuous integration/delivery, ensuring the highest quality for our mission critical systems running in production. Innovate & Research:Stay at the bleeding edge of Generative AI, actively exploring new models, techniques, and frameworks. Contribute to both applied engineering and research initiatives within the domain. You will have access to state of the art AI assisted development tools likeDevin and Copilotto amplify your productivity and creativity. Mentor & Collaborate:Act as a technical leader and mentor to junior engineers, fostering a culture of knowledge sharing and continuous improvement. Collaborate closely with cross functional teams, product managers, and stakeholders to deliver impactful solutions. Iterate & Deliver:Thrive in an agile, fast paced environment, prioritizing rapid delivery, iterative development, and adaptability. Focus on delivering measurable business value and learning quickly from prototypes and deployments, always with a path to production in mind. Ensure Responsible AI:Design and implement robust guardrails and ethical considerations into AI solutions, proactively assessing and mitigating risks in line with organizational and regulatory standards. Minimum Qualifications: Proven professional software engineering experience, demonstrating a strong track record of designing, building, and delivering scalable enterprise grade solutionsin commercial production environments, not just proofs of concept. Expert level proficiency in Python is a must have, with a deep understanding of its ecosystem for AI/ML development, data engineering, and backend services. Full stack development experience is a distinct advantage. Extensive hands on experience withGenerative AI concepts, Large Language Models (LLMs), transformer architectures, RAG, and advanced agentic frameworks (e.g., LangChain, LangGraph, Google ADK. Optionally AutoGen, CrewAI, LlamaIndex, Semantic Kernel). Deep comfort and practical experience withcontainers and orchestration technologies, specifically OpenShift. Demonstrated ability to architect, develop, and deploy highly performant, large scale AI/ML systems into production environments. Strong understanding of modern software development principles, clean code practices, data structures, algorithms, and distributed systems. Proficiency with Relational (preferably, PostgreSQL) and Vector (preferably, pgvector) databases. Preferred Qualifications (Bonus Points): Proficiency in additional programming languages such as Java, JavaScript/TypeScript, or Golang. Experience with specific frameworks like Spring (AI, Boot), N8N, or Flask. Familiarity with messaging and integration platforms such as Kafka or JMS/MQ. Experience with UI development using modern frameworks like React JS or StreamLit for interactive AI applications. Practical experience in model risk management, developing AI guardrails, and establishing end user adoption pathways for Generative AI solutions. A proven track record of contributing to open source projects or publishing relevant research in AI/ML. Why You'll Love Working Here: Unprecedented Impact & Visibility:Contribute to critical, high visibility projects that are transforming a global enterprise, working on firm wide initiatives that directly influence our operational future. Cutting Edge Technology:Work with the latest Generative AI models, agentic frameworks, and cloud native technologies, enhanced by access to AI assisted development tools like Devin and Copilot. Growth & Development:A culture of continuous learning, mentorship, and opportunities to lead and innovate. Benefit from extensive learning resources includingUdemy for Business and Pluralsight. Collaborative Environment:Join a highly skilled, passionate team that values collaboration, intellectual curiosity, and shared success. Flexible Work Environment:Embrace a hybrid working model, balancing productive in office collaboration (3 days) with the flexibility of working from home (up to 2 days). Global Scale:Build solutions that operate at a massive scale, impacting users and operations worldwide. Join us to build the future of intelligent enterprise solutions! Job Family Group: Technology Job Family: Systems & Engineering Time Type: Full time Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. View Citi's EEO Policy Statement and the Know Your Rights poster.

Generative Biology Institute GBI is tackling the key challenges in making biology engineerable, and thereby unlocking the unrivalled power of biology for the benefit of humanity. GBI is part of the Ellison Institute of Technology, Oxford (EIT) and is led by founding Director Jason Chin. The vision of the Generative Biology Institute is to lay the foundations for engineering biology, and unlock its potential for good. To achieve this, we must overcome two key challenges. First, we need the ability to write in the natural language of biology, enabling the rapid and scalable synthesis of entire genomes with precision. Second, we must understand what to write - determining which DNA sequences will generate biological systems that perform the desired functions. Addressing these challenges will allow us to harness the full power of biology to create transformative solutions across health, agriculture, clean energy and more. GBI will have sustained and substantial funding to support the unique scale and ambition of its ground-breaking vision for engineering biology. GBI researchers will also be supported by cutting edge technology hubs including mass spectrometry, flow cytometry, sequencing, automation, imaging, and bioprocessing. GBI will also have access to substantial compute resources that can be leveraged to further accelerate progress, including scientific compute, bioinformatics, and machine learning. The environment at GBI will allow researchers to undertake ambitious, long term, collaborative research, and we will actively support the translation of research to commercial applications, where appropriate. The Generative Biology Institute will commence operations in a newly renovated bespoke space in the Oxford Science Park. The team will later move to a purpose made facility in the Oxford Science Park, currently under construction. Once complete, this state of the art facility will include more than 40,000 m of research laboratory and office space. It will house over 30 groups and up to 600 employees at scale, focused on solving the two critical challenges in making biology engineerable and applying the solutions to addressing the global challenges encapsulated in EIT's Humane Endeavors. Job Summary We are seeking ambitious, creative, and highly skilled Postdoctoral Researchers to join the Generative Biology Institute (GBI). This is your opportunity to be part of cutting edge research within an institute dedicated to engineering biology at an unprecedented scale. In this role you will support an internationally competitive research programme, leveraging GBI's exceptional facilities, sustained funding, and collaborative environment. You will design and execute experiments, contribute to high impact publications, and play a key role in the training and mentorship of junior researchers and students. Working at the interface of biology, technology, and engineering, you will help shape GBI's vision to reimagine what's possible in biology. Applications to Research Groups Applications will be reviewed on a rolling basis by the specific research groups you select. On the application page, you will be asked to select up to three (3) research groups you wish to apply to. In your cover letter, please clearly identify the group(s) you are applying to and explain your fit, interest, and relevant experience for each one. Please note that applicants who select more than three groups, or who do not specify their groups of interest, will not be considered. All applications must be submitted exclusively through the EIT job portal. Please do not contact Principal Investigators directly, as direct outreach will not be considered as part of the application process. Due to the volume of applications, the review and decision process may take 3-6 months. Principal Investigators currently recruiting for Postdoctoral Fellows Leopold Parts - The Parts group works to engineer and model mammalian chromosomes. In particular, the group has long term aims to delete, randomize, evolve, and model chromosome scale DNA, all with the aim of informing models of synthetic DNA function; other ideas fitting this broad remit are very welcome. Rongzhen Tian - The Tian group aims to leverage an orthogonal replication system for the accelerated evolution of complex biological functions to i) advance fundamental scientific understanding of molecular and cellular evolution, ii) develop biomolecules to tackle challenges in human health and industry, and iii) generate large scale enzyme datasets for training next generation protein design models. Jérôme Zürcher - The Zürcher group aims to develop methodology to rapidly and scalably write entire genomes of microbes and phages and to leverage these methods to i) genetically isolate organisms, ii) investigate host pathogen interactions, iii) provide a platform for large vector assembly towards Gb scale genome synthesis. Linda van Bijsterveldt - The van Bijsterveldt group aims to develop methods for building and stably transmitting synthetic chromosomes through mitosis and meiosis in mammals and plants. Projects focus on i) creating scalable platforms for constructing entire genomes, ii) transferring chromosomes between different species, and iii) controlling trait inheritance patterns. Kiarash Jamali - The Jamali group focuses on integrating novel, large databases and inductive biases in generative models of biomolecules, seeking to create next generation tools that would enable protein design of new to nature enzymatic reactions, therapeutics, and molecular motors. A particular focus will be on the integration of learned machine learning force fields with generative protein modelling. Fabian Rehm - The Rehm group works to develop and apply new approaches for the continuous evolution of target genes, and the synthesis of large microbial genome stretches. Research will focus on i) evolving complex, multi gene traits within a single experiment, ii) building selective pressures that reward desired behaviours while minimising escape routes, iii) how to borrow principles from natural evolution, such as modularity, gene amplification, or cooperation, to help engineered organisms explore richer evolutionary pathways. Martin Spinck - The Spinck group explores biological evolution in artificial environments to uncover new to nature functions, focusing on evolvable self assembling biomaterials and their applications in sustainable chemistry and biotechnology. Jason Chin - The Chin group's work pioneers: i) the development and application of genome design and synthesis methods and ii) combines these approaches with cellular engineering for the encoded cellular synthesis of new polymers and materials. Key Responsibilities for all Postdoctoral Researchers Design, execute, and troubleshoot experiments, including the development of novel methodologies and adaptation of existing techniques to new applications. Analyse complex datasets using computational and statistical tools, interpreting results in the context of broader research goals. Contribute intellectually to the research direction by identifying opportunities for innovation and refining research questions. Prepare and publish high quality scientific papers, reports, presentations, and protocols. Present research at national and international conferences, seminars, and internal meetings. Collaborate with multidisciplinary teams within GBI, EIT, and external partners to advance complementary workstreams. Build and maintain research infrastructure, laboratory capabilities, and cutting edge technologies. Mentor and support junior researchers, including PhD students and research assistants. Translate research findings into commercial or translational opportunities in alignment with EIT's mission. Identify and pursue opportunities for intellectual property generation and protection. Ensure research activities comply with EIT's policies, legal requirements, and best scientific practice. This list is not exhaustive and the role holder may be required to undertake additional tasks and duties commensurate with the role. Essential and Desirable Knowledge, Skills and Experience Completed a PhD within the last 4 years in a relevant field (e.g., synthetic biology, computational biology and AI, microbial, plant and human cell biology, genomics, robotics and automation, and nucleic acids chemistry). Track record of delivering ambitious research projects to a high standard. Strong track record in research, ideally in molecular biology, synthetic biology, or related fields. Skilled in data analysis and interpretation; experience with genomic analysis, automation, or computational tools desirable. Proven ability to work independently, think creatively, and solve complex experimental problems. Experience publishing in high impact journals and presenting at international conferences. Excellent organisational skills with the ability to manage multiple concurrent projects. Strong written and verbal communication skills, with experience collaborating in multidisciplinary teams. Capacity to build and sustain productive collaborations internally and externally. Resilience, adaptability, and enthusiasm for working in a fast paced, high growth research environment. We offer the following benefits Enhanced holiday pay Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box . click apply for full job details

Revvity (formerly Horizon Discovery), is a leading life science company that delivers science-driven research solutions advancing the understanding of the genetic basis of disease and the delivery of better healthcare outcomes for patients. We act as a discovery partner for leading pharma and biotech companies worldwide, providing research services and tools to support the development of personalized medicines. Due to growth of our state-of-the-art Cell-Based Screening and Functional Genomic Screening Platforms, we have an exciting opportunity for a Scientist 2 to join our Preclinical Services Department. As a Scientist 2 in the Preclinical Services department, you will be responsible for planning, executing, and analysing data generated from high-throughput compound screens and CRISPR-Cas9 functional genomic screens for fee-paying commercial clients. You will also be involved with our automated robotics platforms for seeding, dosing and developing plate-based experiments. Your daily activities will directly align to and benefit Revvity's goals and values. This role will be primarily lab based, with some office work required. You will be expected to work on multiple tasks/projects simultaneously and should be highly self-motivated, able to work to tight timelines and be comfortable working under pressure in an environment with shifting priorities. Note that this position requires flexible working to cover 7-day operations (rota-based). The possibility of weekend work is approximately once a quarter. In this role you will: Contribute to the planning, execution and delivery of arrayed compound and pooled functional genomics screening projects. Design, QC and analyse screening projects, and manage screening activities - co-ordinating cell culture, compound management and automation scientists to ensure timely delivery of projects. Utilise our automated platform for seeding, dosing and developing plate-based assays, including developing our capabilities and endpoints further. Prepare client reports and support client project tracking and communication in collaboration with the project management office, maintaining an excellent customer experience from start to finish. Supervise more junior team members, mentoring them in techniques and troubleshooting. Contribute to continuous improvement of screening processes and workflows to maximise effectiveness and reduce costs. Work cross-functionally, collaborating for success with the wider Preclinical Services team and beyond. About You To succeed in this role, you will need: Higher level degree (e.g. MSc, MRes or PhD) in Biotechnology or Biological discipline (or equivalent experience). Experience of mammalian cell culture, excellent aseptic technique and performing various cell-based assays, such as those commonly employed at Revvity Cambridge (). Experience of handling large datasets and the interpretation and communication of these data to key internal and external stakeholders. A familiarity with laboratory automation liquid handling robots, or a desire to learn about them. Experience with troubleshooting a variety of automation and instruments including Echo, Flexdrop, Nexus and Janus. Excellent interpersonal and communication skills, both written and verbal. Flexibility, adaptability, and ability to work in a dynamic matrix-managed team environment and on multiple projects with constantly changing priorities and deadlines. Excellent planning/organizational skills with a careful and meticulous nature. Ability to perform multiple tasks simultaneously, keep accurate records, follow and give instructions, and comply with company policies. Preferred experience: Experience working in an Industrial / CRO setting. Experience with transfection, transduction and techniques to modulate gene expression in mammalian cell models e.g. CRISPR-Cas9, siRNA, shRNA etc. Safe handling and production of lentiviral reagents. Familiarity with data visualisation software such as Graphpad Prism and Tibco Spotfire . Knowledge of molecular biology techniques such as DNA extraction and PCR. Experience of high-throughput screening and knowledge of combination screening, including analysing and interpreting compound dose response experiments. Knowledge of lab information management systems (LIMS), liquid handling robotic equipment and laboratory automation (although full training will be provided). Experience with programming liquid handlers for a variety of different functions e.g. Janus. Compound handling experience varying from small molecules to biological materials (although full training will be provided). Experience of working in a customer-facing role. If you have experience with CRISPR-Cas9, compound screening or laboratory automation and a keen interest in developing these skills further and applying these technologies to clinically relevant applications in a collaborative, team environment, to help our customers and aid drug-discovery then click on the link and apply below to start your screening journey with Revvity!

About AQEMIA AQEMIA is a drug invention company dedicated to creating entirely new medicines to address major unmet medical needs. At the core of our mission is QEMI, our proprietary molecule-invention platform, which uniquely combines cutting edge science with advanced technology. Powered by physics based modeling, statistical mechanics, and generative AI, QEMI allows our teams to design novel drug candidates from first principles. What makes AQEMIA different is our commitment to true innovation: our research is dedicated to the invention of new molecular entities, not the refinement of existing ones. We focus on inventing never before seen molecules, without relying on experimental data, and advancing them into a growing pipeline of proprietary programs and strategic partnerships with leading pharmaceutical companies. Our most advanced preclinical programs are currently in vivo optimization, targeting diseases still waiting for effective treatments, offering our teams the opportunity to work on science that can make a real difference in people's lives. For more information, visit and LinkedIn. About our Team AQEMIA brings together a diverse, multidisciplinary team of 65+ professionals based in Paris and London. Our scientists and engineers, including chemists, physicists, machine learning experts, and software engineers, work side by side to push the boundaries of early stage drug discovery. This close collaboration across disciplines is central to our approach, enabling us to tackle complex scientific challenges from first principles and translate cutting edge ideas into novel therapeutic candidates. At AQEMIA, team members are encouraged to contribute their expertise, learn from one another, and play an active role in shaping the future of drug invention. About the Team The mission of the Molecular Simulations Team is threefold: Support drug discovery programs by maximizing the impact of binding free energy calculations in decision making. Build, benchmark and continuously improve reproducible and scalable pipelines for binding free energy calculations, enabling support for multiple programs in parallel. Collaborate closely with our Physics Research Team to integrate innovations from Aqemia's proprietary binding free energy methods. Role Overview As a Senior Application Scientist in the Molecular Simulations Team, you will be a scientific leader and technical expert, contributing to the strategy and delivery of Aqemia's Binding Free Energy Technology. You will help define and evolve how physics based simulations inform and accelerate drug discovery decisions at Aqemia. Key Responsibilities Design and lead large scale simulation studies (e.g., relative and absolute binding free energy predictions). Evaluate and improve modeling protocols for reproducibility, accuracy, and efficiency. Serve as a mentor to junior scientists, promoting best practices in simulation and analysis. Contribute to cross functional planning and the integration of simulations with experimental and AI based insights. Stay at the forefront of developments in molecular simulations and suggest innovations to the team. Support the development and scaling of workflows that can serve multiple drug discovery projects. Work closely with the Research Team to implement improvements and updates to Aqemia's proprietary binding free energy methods. Qualifications & Experience MSc or PhD in Computational Chemistry, Biophysics, Statistical Mechanics, or related discipline. 5+ years of experience in molecular simulations, ideally within a drug discovery context. Deep knowledge of free energy methods, molecular dynamics, and simulation software. Strong programming/scripting ability and experience with workflow automation. Demonstrated ability to lead scientific projects and communicate effectively across disciplines. Nice to Have Experience in machine learning applications for physics based modeling. Track record of scientific publications and contributions to the computational drug discovery community. Preferred Mindset Scientific Rigour: Champion high scientific standards and promote best practices across the team. Humble and Willing to Learn: Lead by example with curiosity and openness to new ideas. Excited by Challenging Scientific Problems: Passionate about solving complex, cutting edge problems and guiding others through them. Pragmatic and Impact Driven: Combine strategic thinking with practical execution to deliver real world impact in a fast paced environment. Leadership through Influence: Inspire and mentor colleagues while fostering a collaborative, high performance culture. Why Join Us? At AQEMIA, we work for a mission: joining us means having your own impact on changing the way drugs are discovered, and helping to shape the direction of our fast growing company and team. Expanding Drug Discovery Pipeline Focused on critical therapeutic areas like Oncology, CNS, Immuno inflammation with in vivo proof of concept/patent stage programs. Collaborations with top Pharma, including a $140M Sanofi deal. World Class Interdisciplinary Team Work alongside exceptional talent at the intersection of technology and life sciences. Our teams combine deep expertise in AI, physics based modeling, biology, and medicinal chemistry to push the boundaries of innovation. DeepTech Recognition AQEMIA is proud to be part of the French Tech 120 and France 2030, highlighting our role as a key player in Europe's DeepTech ecosystem. Prime Location with Flexibility Our offices are located in the heart of Paris and London (King's Cross), with flexible work arrangements including up to two remote days per week. Strong Financial Backing $100M raised from leading European and International investors.

Why N-able At N-able, we're not just helping businesses be secure -we're redefining what it means to be cyber resilient. Our end-to-end platform blends AI-powered capabilities and flexible tech stacks, so customers can manage, secure, and recover with confidence. But the real power behind it all? Our people. We're a global crew of N-ablites, who love solving complex problems, sharing knowledge, and delivering solutions that actually make a difference. If you're into meaningful work, fast growth, and a team that's got your back, you'll besurrounded by people who believe in what they do-and in you. You will join our engineering team developing the state-of-the-art product -N-able Backup and Recovery. The position sits within the Platform team, which is responsible for developing new features related to long-term strategic initiatives, hardening and scaling (micro)services architecture with a high load. This is an amazing time to join the team as there is the fastest-growing product at N-Able and one of the 3 largest revenue-generating products. This is a Cloud-first data protection as a service product that keeps safe customer servers & workstations (files/network shares/databases/hypervisors) as well as SaaS data sources (M365) with over 170+ petabytes of protected data, 700K+ protected devices. The most friendly team =) What You'll Do Learn from some of the best QA's and Engineers in the industry. Study and learn all aspects of QA product lifecycle: understand the product requirements, test cases creation, feature/regression/integration/end-to-end test execution. Get up to speed with estimates, prioritising, and help plan testing activities. Collaborate on all types of automated cost-effective tests on proper automation pyramid level. What You'll Bring Knowledge of software engineering principles. Some knowledge of Web Services and API's. Keen willingness to learn, solve problems and come up with solutions. Good team player who has a collaborative mindset. Purple Perks Medical, dental and vision coverage Generous PTO and observed holidays 2 Paid VoluNteer Days per year Employee Stock Purchase Program FuN-raising opportunities as part of our giving program N-ablite Learning - custom learning experience as part of our investment in you The Way We Work - our hybrid working model based on trust and flexibility About N-able At N-able, our mission is to protect businesses against evolving cyberthreats with an end-to-end cyber resilience platform to manage, secure, and recover. Our scalable technology infrastructure includes AI-powered capabilities, market-leading third-party integrations, and the flexibility to employ technologies of choice-to transform workflows and deliver critical security outcomes. Our partner-first approach combines our products with experts, training, and peer-led events that empower our customers to be secure, resilient, and successful.