Engine building jobs in CambridgeCreate job alerts

Senior Director, AI-Ready Data PreparationWe're building a connected, end-to-end Enterprise AI engine - uniting data foundations, AI technology, process reinvention, and business-facing AI to accelerate results across the whole value chain. Success depends on being outstanding connectors: you'll actively harness existing capabilities, celebrate and promote reuse, export breakthrough ideas across geographies and functions, and obsess over scaling impact rather than building in isolation. If you thrive in high-collaboration environments where your role is to turn sophisticated, cross-functional problems into reusable, enterprise-wide capabilities - and where the measure of success is adoption and scale, not just innovation - you'll have the platform (and sponsorship) to make it real.Introduction to roleThis role leads the enterprise capability that prepares, processes, and provisions AI-ready data at scale, using approved standards, tooling, and guidelines. The team builds and operates next generation data preparation, integration, orchestration, transfer, and obfuscation capabilities, driving increasing automation and self service for data consumers. The Senior Director also delivers and owns priority enterprise data products, demonstrating how to apply enterprise patterns end to end to accelerate time to insight for AI/ML and analytics through compliant, reliable, and efficient pipelines. Ready to develop how AI-ready data is composed and consumed across a global organisation?AccountabilitiesLead the strategy and execution for AI-ready data preparation across high priority AI use cases, shifting from custom solutions to reusable, self-serviceable data products with growing automation. Build, own, and operate high value enterprise data products for AI/ML and analytics, applying enterprise schemas, lineage models, SLAs/SLOs, data contracts, and quality rules that drive trust and adoption. Implement DataOps practices and AI-driven automation that streamline ingestion, transformation, testing, and deployment, while enabling self-serve discovery, access, and provisioning on approved enterprise platforms. Design and run robust end-to-end data pipelines (ingest/store prepare provision) with scalable orchestration, metadata-driven processing, performance tuning, and cost optimisation on sanctioned cloud platforms. Apply enterprise security controls and approved obfuscation patterns such as masking, tokenisation, and anonymisation to enable safe AI experimentation and compliant data transfer at scale. Build and maintain exemplar implementations and reusable components that showcase approved ways of working for data storage, preparation, provisioning, integration, orchestration, transfer, and obfuscation. Lead and grow high performing engineering teams across onshore and offshore locations, manage suppliers effectively, and ensure on time, high quality delivery using enterprise tooling and delivery frameworks. Evaluate and pilot emerging capabilities within enterprise guardrails, make clear buy versus configure recommendations, and generate evidence of value and adoption to scale successful patterns. How will you push the boundaries of what AI-ready data can do here?Essential Skills/Experience• Extensive data engineering leadership with a track record delivering production grade data products and platforms supporting AI/ML and analytics.• Data product and DataOps expertise: Hands on proficiency with data product contracts, lineage, quality SLAs, CI/CD for data, automated testing, and metadata driven pipelines that enable self service.• Integration, orchestration, and storage: Deep experience with batch/streaming integration, workflow orchestration, and scalable storage/processing on modern cloud data platforms, including performance and cost optimisation.• Security and obfuscation: Practical application of enterprise security controls, secure data transfer, and approved obfuscation techniques in regulated environments.• Architecture and design patterns: Strong command of applying enterprise data/application design patterns and microservices/event driven approaches using sanctioned tools and reference implementations.• Able to move at pace and lead and inspire technical team, whilst working within a rapid evolving, often ambiguous business context.• Innovates, experiments and brings external perspectives, with a track record of applying innovative technologies and approaches to increase speed, quality and compliance if data.• Partner and vendor management: Ability to influence senior collaborators, manage partner ecosystems, and build high performing teams; clear communication of value, outcomes, and adoption metrics.Desirable Skills/ExperienceExperience leading large-scale AI/ML or analytics transformation programmes in sophisticated global organisations. Background in building or operating shared enterprise data platforms or internal data marketplaces. Familiarity with regulated industries such as life sciences, healthcare, or financial services. Proven track record to translate strategic business priorities into actionable roadmaps for AI-ready data capabilities. Track record of nurturing engineering excellence through coaching, standards, and communities of practice.When we put unexpected teams in the same room, we unleash bold thinking with the power toinspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility.Join us in our unique and ambitious world!AstraZeneca offers an environment where innovation in digital, data and AI directly connects to transforming patient outcomes worldwide. Curiosity is encouraged, diverse perspectives are welcomed, and teams collaborate across subject areas to solve sophisticated scientific and technical challenges with real urgency. With strong investment in technology, learning and development, alongside a culture that values experimentation and smart risk-taking, this is a place to shape the future of healthcare while building a long-term career with impact.If this role matches your experience and ambition, apply now to help redefine how AI-ready data powers the next wave of life-changing medicines.#EAIDate Posted11-Sept-2026Closing Date01-Oct-2026Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form.SummaryLocation: UK - CambridgeType: Full time

DescriptionLocation: Cambridge, UK – This position can accommodate flexible working options. However, candidates must be based (or be willing to relocate) within a comfortable commuting distance of our Cambridge office to be able to attend onsite as required.Are you an experienced QA professional with a passion for multiplayer games and the expertise to ensure quality across complex, interconnected systems at scale?As a Senior QA Analyst, you’ll take ownership of the testing process for our open-world survival game built in UE5. From base building to combat, progression, persistence, and survival mechanics, you’ll be instrumental in ensuring the stability, performance, balance, and quality that players expect from a living and evolving world.Working closely with multiple internal teams, you’ll shape our test strategies and drive quality ownership throughout the product. As a senior member of the QA team, you’ll mentor others, lead on process improvement, and help define what great looks like for live-service multiplayer game development.What you’ll be doing:Own the testing strategy for RuneScape: Dragonwilds’ complex systems, ensuring every system delivers a fair, stable experience for players.Define and evolve test strategies leveraging Unreal Engine 5, automation, telemetry, and profiling tools, driving quality at a level that matches the ambition of the game.Act as a Subject Matter Expert across QA and gameplay domains, using player telemetry, defect trends, and exploit analysis to proactively surface risks before they impact players.Mentor and develop members of the QA team, raising the bar for multiplayer and live-service testing practice across the organisation.Partner across disciplines, from development and design to Live Operations, Localisation, and Submission, ensuring quality ownership and risk communication runs through every stage of development.What we’re looking for:Proven experience managing QA for multiplayer or live-service products, with hands-on expertise in networking, replication, persistence, matchmaking, and server performance testing.Strong understanding of open-world and multiplayer testing challenges, including streaming, AI interactions, server stability, desynchronisation, and save/load systems.Demonstrated ability to define and drive risk-based test strategies in a live-service environment, collaborating across cross-functional development teams.Experience testing compatibility, certification, and performance testing.In-depth knowledge of QA tooling (e.g. JIRA, Xray, TestRail) and familiarity with specialist debugging, profiling, or network analysis tools.Proven experience mentoring QA team members and contributing to the improvement of quality processes across a development organisation.What we offer:When you join Jagex you can look forward to a generous Perks & Benefits package including:Private Healthcare, including Dental Plan.Discretionary annual performance bonus.Minimum 6% Pension contributions.Life Insurance.Enhanced family leave policies from day 1.Flexible working hours.25 days annual leave + Bank holidays & the option to buy/sell holidays + so much more!Right to Work StatementThis role is only open to applicants who have the permanent right to work in the UK. We are unable to provide or take over visa sponsorship for this position, either now or in the future. Applicants must therefore be able to demonstrate their ongoing eligibility to work in the UK without the need for employer sponsorship.About Jagex: The RuneScape CompanyWe are Jagex: The RuneScape Company. Home to one of gaming’s most enduring success stories. We create deep, community-powered games with worlds that evolve, inspire, and endure. Our flagship MMORPG franchise, RuneScape, has welcomed over 300 million player accounts, inspiring generations of players across PC and mobile for 25 years.As we begin our 26th year, we are accelerating our strategy to expand RuneScape into a broader ecosystem of forever games and connected experiences, grounded in a renewed commitment to integrity and fair play. This includes the reduction of monetisation mechanics, as well as the launch of RuneScape: DragonWilds into Steam Early Access in 2025, representing a major step in building a multi-genre future for the RuneScape universe. We remain focused on building enduring worlds, empowering player-led innovation, and laying the foundations for the boldest era in RuneScape’s history. For more information, visit .Headquartered in Cambridge, United Kingdom, we are home to passionate creators, storytellers, engineers, and even a few dreamers, all united by a single mission to shape the future of online worlds and empower players to make them their own. We’re looking for people to join us who share our ambitions and values. We foster an inclusive workplace built on trust, autonomy, and a shared passion for creating experiences that inspire our communities. Our values guide everything we do: We Embrace Fellowship by collaborating and sharing openly. We Hone our Craft by always learning and improving; We Honour our Vows by being honest and transparent; We are our Customers’ Heroes by striving to understand our team & player needs, and We Seize The Day by making the most of every opportunity.Join us. The next era of RuneScape and the next chapter of Jagex: The RuneScape Company starts now.Inclusion & AccessibilityStatementWe are committed to providing equal opportunities and creating an environment where everyone can thrive. We welcome applications from all backgrounds, and we recruit, develop, and promote based on merit and ability.If you require any reasonable adjustments to support you during the recruitment process, please let us know when you’re invited to interview.Job SummaryID: D95A3FF5F9Department: RuneScape Survival, QAType: full time

DescriptionLocation: Cambridge, UK – This position offers flexible working options, including predominantly remote work. Applicants are preferably be based (or willing to relocate) within a comfortable commuting distance of our office to attend onsite as required.Want to build multiplayer gameplay that feels responsive, scalable and genuinely fun to play?As a Senior Gameplay Engineer on RuneScape: Dragonwilds, you will work hand in hand with designers to bring features to life in Unreal Engine 5, turning ideas and prototypes into polished, shippable gameplay. You will implement, iterate and balance player-facing systems day to day, making sure they feel great to play and stay robust in a large multiplayer environment.What you'll be doing:Own and implement gameplay features in UE5 C++ and Blueprint, using GAS for abilities, attributes, effects, cues and tags, taking an area from prototype to shipped so there is one person accountable for how it plays.Design and maintain reusable gameplay frameworks and components aligned with GAS-first patterns, giving designers room to iterate quickly without a programmer in the loop for every change.Build networked gameplay that replicates correctly and feels responsive, working with prediction, authority, RPCs and relevancy, because the networking model decides whether gameplay feels good or feels broken.Collaborate with designers to iterate on combat, abilities and systems, protecting technical integrity while still landing the version that plays best.Debug gameplay issues across client and server, from desyncs and edge cases to live repros, keeping the game stable while the team ships at pace.Profile and optimise gameplay code against performance and bandwidth targets so systems hold up as the game and its player counts scale.What we're looking for:Strong Unreal Engine (UE5) gameplay programming experience in C++, with Blueprint familiarity for collaboration and iteration.Strong multiplayer networking knowledge in Unreal: replication, RPCs, the authority model, relevancy and dormancy, prediction concepts, and client and server debugging.Proven ability to work directly with designers to iterate quickly while keeping implementations scalable and maintainable.Experience building and maintaining gameplay systems such as player abilities, combat, progression, items and UI-facing gameplay hooks, with practical Gameplay Ability System experience and a background shipping and supporting live multiplayer games a strong advantage.Solid debugging and performance awareness, including profiling gameplay code and diagnosing desyncs and edge cases.Strong code quality habits across testing, code reviews, documentation and refactoring, and demonstrable experience delivering at scale on sizeable teams.What we offer:When you join Jagex you can look forward to a generous Perks & Benefits package including:Private Healthcare, including Dental Plan.Discretionary annual performance bonus.Minimum 6% Pension contributions.Life Insurance.Enhanced family leave policies from day 1.Flexible working hours.25 days annual leave + Bank holidays & the option to buy/sell holidays + so much more!Inclusion & Accessibility StatementWe are committed to providing equal opportunities and creating an environment where everyone can thrive. We welcome applications from all backgrounds, and we recruit, develop, and promote based on merit and ability.If you require any reasonable adjustments to support you during the recruitment process, please let us know when you’re invited to interview.Right to Work StatementThis role is only open to applicants who have the permanent right to work in the UK. We are unable to provide or take over visa sponsorship for this position, either now or in the future. Applicants must therefore be able to demonstrate their ongoing eligibility to work in the UK without the need for employer sponsorship.About JagexWe are Jagex: The RuneScape Company. Home to one of gaming’s most enduring success stories. We create deep, community-powered games with worlds that evolve, inspire, and endure. Our flagship MMORPG franchise, RuneScape, has welcomed over 300 million player accounts, inspiring generations of players across PC and mobile for 25 years.As we begin our 26th year, we are accelerating our strategy to expand RuneScape into a broader ecosystem of forever games and connected experiences, grounded in a renewed commitment to integrity and fair play. This includes the reduction of monetisation mechanics, as well as the launch of RuneScape: DragonWilds into Steam Early Access in 2025, representing a major step in building a multi-genre future for the RuneScape universe. We remain focused on building enduring worlds, empowering player-led innovation, and laying the foundations for the boldest era in RuneScape’s history. For more information, visit .Headquartered in Cambridge, United Kingdom, we are home to passionate creators, storytellers, engineers, and even a few dreamers, all united by a single mission to shape the future of online worlds and empower players to make them their own. We’re looking for people to join us who share our ambitions and values. We foster an inclusive workplace built on trust, autonomy, and a shared passion for creating experiences that inspire our communities. Our values guide everything we do: We Embrace Fellowship by collaborating and sharing openly. We Hone our Craft by always learning and improving; We Honour our Vows by being honest and transparent; We are our Customers’ Heroes by striving to understand our team & player needs, and We Seize The Day by making the most of every opportunity.Join us. The next era of RuneScape and the next chapter of Jagex: The RuneScape Company starts now.Job SummaryID: D3913FB96DDepartment: RuneScape SurvivalType: full time

Senior Director, Semantic Platform EnablementWe're building a connected, end-to-end Enterprise AI engine - uniting data foundations, AI technology, process reinvention, and business-facing AI to accelerate results across the whole value chain. Success depends on being outstanding connectors: you'll actively harness existing capabilities, celebrate and promote reuse, export breakthrough ideas across geographies and functions, and obsess over scaling impact rather than building in isolation. If you thrive in high-collaboration environments where your role is to turn sophisticated, cross-functional problems into reusable, enterprise-wide capabilities - and where the measure of success is adoption and scale, not just innovation - you'll have the platform (and sponsorship) to make it real!Introduction to roleThis Senior Director role leads the design and enterprise enablement of AstraZeneca’s semantic platform so data is consistently understood, reliably connected, and reusable by both human and AI consumers. The position establishes the capabilities needed to translate core data products into context-rich, machine-readable meaning, enabling interoperability across platforms, domains, and critical initiatives. The remit is to deliver a scalable semantic foundation that starts with priority core data entities and expands into a federated enterprise semantic mesh across AstraZeneca. Outcomes will be seen in accelerated AI and agentic innovation, greater consistency in how data is interpreted and used, and the ability for data products, projects, and programmes to connect through shared semantics and reusable standards.AccountabilitiesLead the definition and execution of the semantic platform strategy, setting a clear direction that enables shared meaning, interoperability, and reuse across core data products, platforms, and enterprise initiatives. Deliver the core semantic layer by establishing initial semantic models, canonical entities, reference data approaches, and implementation patterns that support priority business and technology use cases. Build and scale an enterprise semantic mesh, defining the target operating approach and evolving toward a federated model that supports growth across domains over time. Partner closely with product, programme, project, and domain leaders to align semantic architecture and implementation with real-world use cases, ensuring adoption is driven by business value and practical integration needs. Drive integration of structured and unstructured information into the semantic platform to unlock richer context, discoverability, and usability of enterprise information assets. Ensure interoperability across data products and platforms through shared semantics, common standards, canonical models, and reusable reference data patterns. Provide architectural leadership and governance for semantic enablement, maintaining consistency with enterprise data architecture, design principles, and evolving platform standards. Manage external partner engagement and delivery in coordination with partnership teams to harness specialist capability, accelerate implementation, and secure high-quality outcomes.Essential Skills/Experience• Extensive experience in enterprise data architecture, semantic technologies, or knowledge-based platforms, with a strong track record of implementing scalable data capabilities in complex organisations.• Experience applying the W3C semantic data stack to the development of semantic knowledge graphs within an enterprise, with evidence of scaling across domains.• Deep understanding of semantic layer design, including ontologies, taxonomies, canonical modelling, reference data, and approaches to machine-readable representation of business meaning.• Experience enabling interoperability across data products, platforms, and domains, including aligning architecture to cross-functional business and technology priorities.• Demonstrated ability to lead platform delivery and scale adoption, from establishing core foundations through to enterprise rollout in federated or multi-domain environments.• Strong partner leadership and influencing skills, with experience working across senior business, product, data, and technology communities to drive alignment and execution.• Evidence of enabling and influencing a federated community of data and domain experts to contribute to a single, centrally governed capability. • Experience managing strategic external partners and sophisticated delivery ecosystems, ensuring that internal and partner teams work effectively to deliver measurable outcomes.Desirable Skills/ExperienceExperience in large-scale AI or agentic systems enablement, particularly where semantic layers underpin discovery, reasoning or automation; background in life sciences or biopharma data domains; familiarity with modern data mesh concepts; proven track record of evolving central platforms into federated operating models; experience with knowledge graphs or graph databases; exposure to regulatory or compliance considerations for enterprise data platforms.When we put unexpected teams in the same room, we unleash ambitious thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challengeperceptions! That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our outstanding and ambitious world.AstraZeneca brings together science, data and technology to transform how medicines are discovered, developed and delivered to patients worldwide. Teams work on real problems that matter: crafting humanised models, groundbreaking new clinical engagement approaches and incorporating patient insights to improve experiences and outcomes. Digital and data are embedded in every role, supported by strong investment in tools, learning and teamwork so people can keep growing while tackling complex challenges. Colleagues connect across subject areas and geographies to share ideas, experiment, learn from setbacks and push boundaries in an environment that values curiosity, diverse perspectives and meaningful impact on patients and society.Ready to shape the semantic backbone of a digital- and data-led enterprise that is redefining the future of healthcare!Apply now!#EAIDate Posted11-Sept-2026Closing Date01-Oct-2026Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form.SummaryLocation: UK - CambridgeType: Full time

Job Overview:Do you want to help shape the future of graphics on billions of Arm-powered devices worldwide? We are building leading solutions in mobile rendering: combining the best of classic rendering techniques with the exciting new possibilities of neural graphics!As part of our team, you’ll investigate technologies that help shape the future of Arm GPUs while also contributing to optimization guidance for developers working with current-generation platforms and tools. Our mission is to help developers deliver the best possible graphics and gaming experiences on Arm-powered devices.We are looking for a curious and motivated software engineer who is excited to learn about computer and neural graphics with the aim to help developers around the world deliver great products on Arm.Responsibilities:You will learn about and investigate modern and emerging graphics techniques, including neural graphics, and other future-looking approaches.Working alongside experienced engineers, you will be conducting technical investigations and performance analyses, create prototypes and resolve customer issues.You will use profiling, debugging, experimentation, and modern development tools to analyse real-world workloads and solve problems effectively. You will collaborate with colleagues and industry partners. You may also help create technical demonstrations, documentation, and developer education materials.As your experience grows, you will develop a deeper understanding of GPU architecture, rendering techniques, graphics APIs, game engines, and system-level performance.Required Skills and Experience :Strong foundational programming skills in C/C++ or another low-level systems language.Good understanding of real-time graphics and the GPU pipeline, with exposure to a modern graphics API.Foundational knowledge of machine learning/neural networks and interest in applying them to graphics.Ability to independently prototype, evaluate and communicate technical ideas in an R&D environment, with limited supervision.“Nice To Have” Skills and Experience :Experience with shader languages such as GLSL, HLSL or Slang.Experience with modern GPU APIs such as Vulkan, Direct3D 12, Metal or WebGPU.Familiarity with game engines such as Unreal Engine or Unity.Familiarity with Arm Mali or other GPU architectures.Understanding of how graphics software maps onto GPU hardware.Awareness of the wider graphics ecosystem and interest in following state-of-the-art developments.In Return:At Arm, we invest in your growth. We provide the training, mentoring, and support you need to develop your skills in graphics, GPU technology, and neural graphics. You will work alongside experienced engineers in a collaborative and friendly team where asking questions, experimenting with ideas, and learning from others are encouraged.You will have opportunities to work on emerging graphics technologies, contribute to real-world engineering investigations, and gradually take on greater technical responsibility as your expertise develops.We also believe work should be more than code: you’ll find an inclusive workplace culture with opportunities to connect through social events, learning sessions, and volunteering activities.If skilled worker sponsorship is required, Arm will meet costs associated with sponsorship for the employer only. All fees associated with the individual’s application e.g. visa application fee and Immigration Health Surcharge, will be the responsibility of the successful candidate.#LI-JBAccommodations at ArmAt Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.Hybrid Working at ArmArm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.Equal Opportunities at ArmArm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Jim Gleeson is working in partnership with Nxera Pharma, to recruit an Associate Director / Director – Integrated Drug Discovery & Project Leadership. \n \n Location: \n Granta Park, Cambridge. You will need to be on-site for four days a week. \n \n About the company: \n Nxera Pharma is a technology-powered, global biopharmaceutical company advancing next-generation small molecule therapies from hit finding through early clinical development. The company combines deep GPCR biology expertise with structure-based drug design to generate highly differentiated, high-quality molecules with strong translational potential. \n Powered by its proprietary NxStar™ platform, Nxera’s discovery engine integrates structural biology, receptor pharmacology, computational design, and medicinal chemistry to unlock challenging GPCR targets. This platform-driven approach enables smart molecule design, rapid iteration, and disciplined progression into development. \n \n About the role: \n Reporting to the Head of Molecular Pharmacology this senior leadership position will provide scientific, strategic and people leadership across Nxera's discovery portfolio. The successful candidate will lead multidisciplinary scientists, provide project leadership for integrated drug discovery programmes, drive innovation across discovery technologies, and contribute to target identification, target validation and hit identification strategies. The role is intended to provide broad leadership capability across Molecular Pharmacology and Integrated Drug Discovery, ensuring delivery of high-quality assets while developing future scientific leaders. \n \n Responsibilities will include: \n\n • Leading integrated drug discovery projects from target validation through hit identification and lead optimisation in partnership with Biology, Chemistry, DMPK, Translational Sciences and Informatics.\n, • Provision of scientific leadership for cross-functional project teams, ensuring robust decision making and project progression to ambitious timelines.\n, • Supporting portfolio governance, prioritisation, forecasting and resource planning.\n, • Line managing and mentoring multidisciplinary scientists, fostering a culture of scientific excellence, innovation and accountability.\n, • Building an inclusive, collaborative and high-performing team.\n, • Providing strategic oversight of small molecule hit identification campaigns using internal and external capabilities.\n, • Working closely with medicinal chemistry and biology teams to design effective screening cascades and data-driven progression strategies.\n, • Provide scientific input into target assessment, translational relevance and portfolio opportunities.\n\n, • \n Skills and Experience: \n\n • PhD (preferred) or MSc in Pharmacology, Biochemistry, Molecular Biology or a related life sciences discipline.\n, • Extensive, industry-based experience within biotechnology and/or pharmaceutical drug discovery.\n, • Demonstrated success leading integrated drug discovery programmes.\n, • Proven experience line managing and developing multidisciplinary discovery science teams.\n, • Strong understanding of small molecule hit identification and screening strategies.\n, • Excellent communication, strategic thinking and stakeholder management skills.\n, • Familiarity with target identification and target validation approaches.\n, • Ideally with experience in GPCR pharmacology and an understanding of metabolic or endocrine disease.\n\n \n Apply: \n It is essential that applicants hold entitlement to work in the UK. Please quote job reference 197413 in all correspondence. \n

\n Location: This role can be based in Cambridge, UK, or Munich, Germany. \n We're building a connected, end-to-end Enterprise AI engine - uniting data foundations, AI technology, process reinvention, and business-facing AI to accelerate results across the whole value chain. Success depends on being exceptional connectors: you'll actively leverage existing capabilities, celebrate and promote reuse, export breakthrough ideas across geographies and functions, and obsess over scaling impact rather than building in isolation. If you thrive in high-collaboration environments where your role is to turn complex, cross-functional problems into reusable, enterprise-wide capabilities - and where the measure of success is adoption and scale, not just innovation - you'll have the platform (and sponsorship) to make it real. \n Own the transformation of translational and biomarker data into AI-ready, standardized data products that accelerate drug discovery and development. \n The role sits at the critical intersection of science teams (who generate and use the data), technology teams (who build platforms and automation), and peer data leadership across clinical trial submission and preclinical/discovery domains. Primary mandate: deliver high-quality, reusable data products while building capabilities to enable a AI ready and FAIR end to end data flow. \n Lead a 12–15 person distributed team and coordinate cross-functionally with peer Directors to ensure enterprise-wide data coherence and strategy alignment. Key responsibilities\n \n • Own delivery of analysis-ready datasets to science teams, enabling precision medicine, biomarker discovery, and hypothesis validation\n, • Work with science stakeholders to understand analytics needs and shape data standards accordingly\n, • Create data catalogs, metadata standards, and usage guidelines; establish feedback mechanisms for continuous improvement\n Standards & Data Product Strategy\n \n, • Define FAIR-compliant standards for translational/biomarker data (omics, imaging, proteomics, etc.). Establish quality frameworks and SLAs aligned to regulatory, AI/ML, and precision medicine use cases\n, • Build semantic schemas and harmonization layers enabling integration of data from diverse sources (labs, vendors, partners) into reusable, consumable data products\n Platform & Technology\n \n, • Define technical requirements for translational data workflows (ingestion, validation, harmonization, delivery APIs)\n, • Lead automation initiatives to reduce manual curation (e.g., schema-driven harmonization, intelligent quality assurance). Measure efficiency gains\n, • Ensure integration with enterprise systems (clinical data lakes, AI/ML platforms)\n, • Pilot new technologies (agentic AI, ML-driven quality assurance) at scale\n Team Leadership & Cross-Domain Coordination\n \n, • Recruit, mentor, and scale a 12–15 person distributed team of data stewards and engineers responsible for data curation, validation, and delivery\n, • Partner with other team leads on shared deliveries, leveraging synergies and cont. increasing efficiency\n Strategic Leadership\n \n, • Define multi-year roadmap for expanding translational/biomarker data standardization across therapeutic areas and partners\n, • Drive shift from reactive data cleanup to proactive "Shift Left" data generation\n, • Present at industry forums; own P&L for translational data operations\n Required experience & qualifications\n \n, • PhD or master degree in bioinformatics, biomedical data science, molecular medicine, or related field\n, • Published research or thought leadership on biomarker standardization, data harmonization, and data product build and delivery with 5+ years experience\n, • Experience with leading a cross functional, global team including budget oversight, hiring, onboarding\n, • Experience with FAIR data principles, semantic interoperability, or data standards in research contexts (GA4GH, MIAME, etc.)\n, • Track record scaling data governance or data stewardship programs across multiple labs, studies, or organizations\n, • Familiarity with agentic AI, machine learning, or LLM-driven automation in data/science workflows\n, • Familiarity with biomarker platform companies (e.g., Guardant Health, Foundation Medicine, Tempus) or research consortia (e.g., NCI's SEQC, GTEx)\n \n Ready to lead the transformation of healthcare through AI? Join us in building the platform that will power the next generation of life-changing medicines and make a meaningful impact on patients' lives worldwide. \n When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. \n At AstraZeneca, we are driven by a shared purpose to make a difference in patients' lives through innovation and collaboration. Our dynamic environment encourages continuous learning and growth as we explore new technologies and challenge conventional approaches. By partnering across functions and leveraging our data capabilities, we empower our teams to achieve remarkable outcomes. Join us as we shape the future of healthcare and contribute to AstraZeneca's mission of delivering life-changing medicines. \n #EAI \n Date Posted \n 26-ago-2026 \n Closing Date \n 15-sept-2026 \n Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form. \n #J-18808-Ljbffr

\n Locations: Cambridge, UK or Barcelona, Spain \n Salary & Benefits: Competitive About AstraZeneca and AISI\n At AstraZeneca,technologyand science meet to change what is possible for patients. We are building a connected, end-to-end Enterprise AI engine — uniting data foundations, AI technology, process reinvention, and business-facing AI to accelerate results across the whole value chain. Success depends on being exceptional connectors: you will activelyleverageexisting capabilities, celebrate and promote reuse, export breakthrough ideas across geographies and functions, and obsess over scaling impact rather than building in isolation. \n AI Science & Innovation (AISI) sits at thecentreof AstraZeneca's R&D AI transformation. Our remit is to build, buy, and deliver the AI models and agents that change pipeline outcomes across discovery, translational science, biomarkers, and clinical development. \n Within AISI, theClinical AI team arebuilding world-class AI capability to accelerate the design, conduct, and analysis of clinical trials across ourBioPharmaceuticalspipelines— spanning both early and late phaseprogrammes. We partner closely with clinical development, regulatory, and biometrics teams to bring better treatments to patients faster, while adhering to the highest evidentiary standards. The Opportunity\n Bringing new treatments to patients demands scientific excellence at every stage of development. In theClinical AI team, we focus on one of the most data-rich and decision-intensive parts of that journey: clinical development. Trial design, patient selection, doseoptimisation, biomarker strategy, and safety evaluation each represent genuine opportunities where AI and machine learning can addrigour, speed, and precision — not as a replacement for clinical and statistical expertise, but as a powerful complement to it. We hold ourselves to measurable standards of improvement, and we build methods that can be evaluated, reproduced, and trusted in regulatory settings. \n You will work across the enterprise to define and deliver on AstraZeneca's most pressing clinical development questions — leading cross-functional teamsspanning the keyBioPharmaceuticalsdisease areas of cardiovascular, renal, metabolic disease, respiratory,immunologyand cell-therapy.You and the team will develop reusable methods and enterprise-scale approaches that measurably advance the late-stage drug pipeline. This is a high-visibility opportunity to shape how AstraZeneca does AI forBioPharmaceuticalsclinical development — frommethodologystandards to external scientific influence. \n AI for clinical development is a field in motion. Foundation models, agentic systems, and causal AI are advancing rapidly, and the regulatory and methodological frameworks around them are evolving in parallel. As a Director, Data Scientist, you will define and drive the AImethodologyagenda for one or moreprogrammeswithinClinical AI, leading by scientific influence and matrix coordination rather than through a formal hierarchy. You will be the scientific authority that study teams, biometrics, and regulatory colleagues turn to — and AstraZeneca's voice externally at the critical moment when the rules of the road for AI in clinical trials are being written. Key Responsibilities\n \n • Define and drive the AImethodologyroadmap for assignedClinical AIprogrammes, spanning early and late phase clinical development, and aligning AI/ML priorities with clinical and businessobjectives.\n, • Lead, by matrix influence and scientific authority, the delivery of the most complex and high-stakes AI projects — from problem definition andmethodologyselectionthrough validation, regulatory alignment, and scaled adoption across the enterprise.\n, • Develop and govern reusable, enterprise-grade AI methods and evaluation frameworks for clinical trial settings, including innovative trial design support, doseoptimisation, biomarker discovery, digital twins, predictive and prognostic modelling, and safety and efficacy signal detection.\n, • Champion data-centric AI practices atprogrammelevel: govern the acquisition, curation, and quality control of datasets for model training, post-training, benchmarking, and evaluation across clinical and regulatory settings.\n, • Partner with Clinical Development, Biometrics, Regulatory, and Study Teams to embed AI strategy andvalidatedsolutions into study design and decision-making atprogrammelevel.\n, • Shape the AI evidence componentfor regulatory submission packages; act as the scientific and methodological voice in regulatory engagements involving AI/ML methods or innovative trial designs (FDA, EMA, MHRA).\n, • Evaluate and championcutting-edgeAI methodologies — including foundation models, agentic AI systems, generative patient models, multimodal learning, Bayesian inference, causal inference, and model calibration and domain adaptation — proposing fit-for-purpose approaches with robust evaluation criteria and risk assessment.\n, • Establish andmaintainexternal collaborations with academic institutions, technology partners, and industry consortia to access novel capabilities and advance the scientific agenda.\n, • Represent AstraZeneca at scientific conferences, standards bodies, and peer-reviewed venues;contributefirst- or last-author publications in leading ML and clinical AI journals.\n, • Serve as a technical mentor and thought partner for Associate Directors and Senior Data Scientists within the Clinical AI team; promote scientificrigour, reuse, and a culture of learning in public.\n, • Contribute to the broader AISI AI for Clinical Development strategy, including cross-functional ways of working, tooling governance, andmethodologystandards.\n Essential Requirements\n \n, • PhD in Computer Science, Machine Learning, Statistics, Mathematics, Biomedical Informatics, Computational Biology, or a closely related quantitative discipline — with a strong, hands-on computationaltrack record.\n, • 4–8 years of post-PhD experience in AI and machine learning method development, with demonstrated and sustained impact in clinical, biomedical, or drug development settings (e.g.models delivered, first-author publications, patents, SaMD filings, open-source projects).\n, • Deep experience, knowledge, and understanding of one or more fields of biology, with hands-on experience working with biological data such as molecular (DNA, RNA, protein), imaging (radiology, microscopy), or clinical text (EHR, clinical notes).\n, • Deepexpertisein modern AI methodologies, including one or more of: foundation model training and fine-tuning; Bayesian inference; temporal and longitudinal modelling; multimodal integration; model calibration and domain adaptation; data-centric AI; model interpretability; model post-training and alignment.\n, • Exceptional software engineering skills: Python, deep learning frameworks (e.g.PyTorch), frontier coding agent frameworks, modern LLM tooling, and cloud platforms (e.g.AWS, Azure, GCP).\n, • Demonstrated experience translating AI methods into applications that inform clinical and/or biomedical decisions, including prospective evaluation or contribution to submission-relevant evidence.\n, • Trackrecord ofdriving scientific influence across cross-functional communities — ML, clinical, biostatistics, regulatory — without relying on formal authority.\n, • Peer-reviewed publications in clinical AI, computational drug development, or leading ML venues (e.g.NeurIPS, ICML, ICLR, Nature Medicine, Lancet Digital Health).\n, • Excellent written and verbal communication skills, withdemonstratedability to translate technical findings for clinical, regulatory, and executive audiences.\n Desirable Skills and Experience\n \n, • Direct industry experience in early or late phaseBioPharmaceuticalsclinical development, including clinical trial design, biomarker discovery, companion diagnostics, dosing, safety, endpoints, or regulatory processes.\n, • Direct experience contributing to FDA, EMA, PMDA, or MHRA submissions involving AI/ML methods or innovative trial designs.\n, • Priorregulatory engagement on AI methodology, complex innovative trial design, or AI/ML qualification opinions.\n, • Experience withMLOpsandLLMOpsat scale, including CI/CD pipelines and enterprise deployment.\n, • Open-source contributions, workshoporganisation, or standards-body participation.\n, • Knowledge of computing hardware and its impact on model training and inference at scale.\n, • Experience in a complex globalorganisationspanning multiple sites and therapy areas.\n, • Strongproficiencyin augmenting — but not supplanting — daily knowledgeworkwith agentic AI tools.\n, • Proactivelyup-to-datewith the latest AIresearch;tries out new tools and methods of interest without waiting to be directed.\n, • Team-oriented mindset: does what is best for the team and theprogramme, not just the individual deliverable.\n, • Ability to deliver high-quality, high-impact contributions independently and atpace.\n, • Comfort with ambiguity and an instinct to learn in public, prototype early, and fail forward.\n, • Deep, up-to-date knowledge of the ML literature and active connections with the ML community.\n Why AstraZeneca?\n Here, technology and science meet to change what is possible for patients. You will join a company investing boldly in AI and data to become truly data-led, where unexpected teams come together to address problems that have never been solved before. When we put unexpected teams in the same room, we ignite bold thinking with the power to inspire life-changing medicines. \n The playbook for AI in clinical development will be written in the next two to three years. You will help write it — with an outsized voice at regulatory agencies, scientific consortia, and external partners during the narrow window when the rules of the road for AI in pivotal evidence are being defined. That is the reasonto come. \n We hire for learning agility and technical excellence. The strongest candidates here learn fast, are comfortable with ambiguity, prototype early, fail forward, and partner credibly across communities. We balance the expectation of being in the office — on averageat leastthree days per week — while respecting individual flexibility. Date Posted\n 10-sep.-2026 Closing Date\n 29-sep.-2026 \n Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. \n #J-18808-Ljbffr

Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. At Roku, the Device Monetization and Themed Experiences (DMTE) team, a part of the Advertising organization, is where the magic behind the scenes happens. We're the engineers who build the high-performance graphics and UI foundations that power the AD Display — the core technology enabling Roku's smooth, responsive, and visually rich experiences on millions of devices worldwide. Our work lives in the middleware and UI layers, and its impact is felt every time a user navigates a menu, enjoys an animated ad, or is wowed by the bespoke experience built to market the latest TV show or Movies. We thrive on solving the toughest technical challenges — from optimizing UI rendering to fine-tuning memory usage — using BrightScript (a JavaScript-like language) to deliver rock-solid, high-performance solutions. We work in a collaborative, high-trust environment where great ideas can come from anywhere, partnering closely with firmware, UI, and product teams to ensure our platform is lightning fast, reliable, and ready for the next generation of streaming innovation. If you love building the invisible foundations that make great user experiences possible, this is the team for you. As a Senior Agentic AI Engineer in the DMTE team, you'll be the driving force behind embedding intelligent, autonomous AI capabilities into Roku's platform — reimagining how our systems create, optimize, and deliver experiences to tens of millions of devices. Rather than building UI features directly, you'll design and deploy agentic AI systems that reason, plan, and act across our development and delivery pipelines — from automating the generation of themed experiences to enabling self-optimizing rendering workflows within the AD Display. You'll leverage your years of experience in software engineering and building world class UI to build AI agents that understand the constraints of embedded, performance-critical systems and operate effectively within them. This is a role for engineers who think in terms of autonomous systems, multi-step reasoning, and tool-use architectures — and who want to fundamentally reshape how a streaming platform is built, maintained, and evolved. At Roku, we don’t just use AI, we work with it. AI agents and smart tools help power drafts, analysis, and repetitive workflows, while our people bring direction, judgment, and accountability. We’re looking for curious, adaptable builders who can show how they’ve used AI or automation to move faster, raise the bar, and scale their impact. We value your AI skills if you have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive an agent, verify its output, and ramp on an unfamiliar codebase with an agent helping you. • Apply strong software engineering principles to design, build, and ship reliable, performant systems at scale, • Bring rigorous software engineering practices — clean architecture, testing, code review - to building systems that are reliable and performant at scale, • Apply sound software engineering fundamentals (system design, testing, code review) to ship reliable, performant systems at scale, • We don't train models, we don't 'fine-tune' LLMs; We build automated agentic processes, • Design, build, and deploy agentic AI systems that autonomously generate, test, and optimize BrightScript/TypeScript code and UI experiences for the FRAME engine, • Architect multi-agent workflows (planning, tool-use, retrieval, execution, validation) that accelerate development and reduce manual engineering effort across the team, • Develop AI-powered automation that understands the constraints of embedded C++ environments and produces performance-safe, memory-efficient outputs, • Build and maintain evaluation frameworks to measure agent reliability, accuracy, and performance in production-critical contexts, • Collaborate with cross-functional teams (firmware, UI, product) to identify high-impact opportunities for AI-driven automation and intelligent tooling, • Stay at the forefront of agentic AI research — including LLM orchestration, RAG, function calling, and autonomous code generation — and bring those advances into our platform, • Mentor engineers across the team on AI-first development practices and help establish best practices for human-agent collaboration, • Proven experience building agentic AI systems that generate, optimize, and deliver scalable applications in production environments, • Strong software engineering foundation with a track record of shipping reliable, performant systems at scale, • Deep familiarity with modern LLM orchestration tools, prompt engineering techniques, and AI/ML frameworks, • Experience with retrieval-augmented generation (RAG), function/tool calling, and evaluation-driven development for AI agents, • A builder's mentality — you don't just use AI tools, you create autonomous systems that multiply the impact of entire teams, • Proficiency in TypeScript (or similar languages) and Python for agent development, scripting, and pipeline automation, • A software engineer's instinct for reliability, testability, and clean architecture — applied to the unique challenges of non-deterministic AI systems, • Excellent technical communication, root cause analysis abilities, and a proactive mindset with passion for fast iteration Roku fosters an inclusive and collaborative environment where teams generally work in the office Monday through Thursday. Fridays are generally flexible for remote work, except for employees whose specific roles or assigned office location require five days' a week attendance. Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com. Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet. By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com. #J-18808-Ljbffr

Jim Gleeson is working in partnership with Nxera Pharma, to recruit an Associate Director / Director – Integrated Drug Discovery & Project Leadership. Location: Granta Park, Cambridge. You will need to be on-site for four days a week. About the company: Nxera Pharma is a technology-powered, global biopharmaceutical company advancing next-generation small molecule therapies from hit finding through early clinical development. The company combines deep GPCR biology expertise with structure-based drug design to generate highly differentiated, high-quality molecules with strong translational potential. Powered by its proprietary NxStar™ platform, Nxera’s discovery engine integrates structural biology, receptor pharmacology, computational design, and medicinal chemistry to unlock challenging GPCR targets. This platform-driven approach enables smart molecule design, rapid iteration, and disciplined progression into development. About the role: Reporting to the Head of Molecular Pharmacology this senior leadership position will provide scientific, strategic and people leadership across Nxera's discovery portfolio. The successful candidate will lead multidisciplinary scientists, provide project leadership for integrated drug discovery programmes, drive innovation across discovery technologies, and contribute to target identification, target validation and hit identification strategies. The role is intended to provide broad leadership capability across Molecular Pharmacology and Integrated Drug Discovery, ensuring delivery of high-quality assets while developing future scientific leaders. Responsibilities will include: • Leading integrated drug discovery projects from target validation through hit identification and lead optimisation in partnership with Biology, Chemistry, DMPK, Translational Sciences and Informatics., • Provision of scientific leadership for cross-functional project teams, ensuring robust decision making and project progression to ambitious timelines., • Supporting portfolio governance, prioritisation, forecasting and resource planning., • Line managing and mentoring multidisciplinary scientists, fostering a culture of scientific excellence, innovation and accountability., • Building an inclusive, collaborative and high-performing team., • Providing strategic oversight of small molecule hit identification campaigns using internal and external capabilities., • Working closely with medicinal chemistry and biology teams to design effective screening cascades and data-driven progression strategies., • Provide scientific input into target assessment, translational relevance and portfolio opportunities. Skills and Experience: • PhD (preferred) or MSc in Pharmacology, Biochemistry, Molecular Biology or a related life sciences discipline., • Extensive, industry-based experience within biotechnology and/or pharmaceutical drug discovery., • Demonstrated success leading integrated drug discovery programmes., • Proven experience line managing and developing multidisciplinary discovery science teams., • Strong understanding of small molecule hit identification and screening strategies., • Excellent communication, strategic thinking and stakeholder management skills., • Familiarity with target identification and target validation approaches., • Ideally with experience in GPCR pharmacology and an understanding of metabolic or endocrine disease. Apply: It is essential that applicants hold entitlement to work in the UK. Please quote job reference 197413 in all correspondence.

Job Description SummaryNovartis BioMedical Research (BR) is the innovation engine of Novartis that collaborates across the company and beyond, focusing on powerful new technologies that have the potential to help produce therapeutic breakthroughs for patients. Translational Medicine (TM) is the clinical research arm of Novartis BR, and includes about 900 associates globally. TM plays a pivotal role in bringing innovative medicines to patients, by building on research advances to develop new therapies, and bridging drug discovery and clinical application.The TM Discovery & Profiling (TMDP) is a group of physicians and clinical researchers who drive innovative science from discovery to the patient through the selection, profiling, and effective development of medicines. Translational medicine experts oversee Phase 1 and 2 clinical trials to demonstrate proof-of-mechanism and proof-of-concept (PoC) in patients, as well as support for later Phase 3 development. Translational medicine experts are key and highly visible members of global cross-functional project teams that design and implement early research and discovery projects, that then culminate in clinical PoC studies. Translational medicine experts collaborate with colleagues in biology and chemistry to identify targets in diseases with significant unmet medical needs and provide input on likely clinical development pathways. The early clinical trials led by our translational medicine experts are among the most critical steps in drug development at Novartis. After PoC and if the program proceeds to full development, the translational medicine expert continues as a key member of the full development team up to and including registration.As a Cardiovascular Metabolism (CVM) TM Expert, you will collaborate with the CVM TM Head or other experienced TM Experts to develop high value decision-strategies for the Translational Medicine component of drug development projects and to lead global cross-functional project teams through the PoC phase and beyond.Job Description# LI- hybridTME Director Cardiovascular MetabolismOversees the planning, execution, and interpretation of clinical trials research, data collection activities and clinical operations, serving a leadership role in the matrixed trial team. Establishes and approves scientific methods for design and implementation of clinical protocols, data collection systems and final reports. Support new and ongoing clinical research and clinical trials and ensure efficient and timely processing of confidentiality agreements and clinical agreementsKey Responsibilities: Lead global project teams through PoC phase to drive implementation of the PoC strategy; participate in project teams through program life cycle from NTRC to registrationResponsible for clinical portions of the Integrated Development Plan (IDP) through PoC.Acts as medical monitor for one or more clinical studies.Communicate clinical team matters to project teams and relevant decision boards (such as the Disease Area Decision Board).Convene relevant (internal and external) leaders to consider proposed approach to PoC.Evaluate clinical centers and foster communication with crucial collaborating investigators.Oversee publication and external presentation of PoC clinical study results.Accountable for compound related biomarker strategies; work closely with biomarker experts in implementation.In collaboration with research scientists identify, develop and implement strategy for preclinical support of program related objectives; this includes assessment of medical need, proposal of clinical development pathways, and review of preclinical data for clinical implications and other relevant activitiesParticipate in team presentations to Health Authorities as TM ExpertEssential Requirements: Doctoral degree, MD required with clinical subspecialty training preferred in cardiovascular disease or endocrinology/metabolic disease; Additional PhD/post-doctoral equivalent research preferred.At least 1-2 years’ experience in a pharmaceutical/biotech company, CRO, or academic medical center, or related experience; 5 plus years to be considered for Director level.Recognized for medical expertise.Recognized for scientific expertise and passion for science: respected by colleagues internally and externally, having made significant contributions to the field and created / established new concepts; record of high quality publications in international scientific journals.Excellent written and oral communication/presentation skills.Independence: Able to work independently on study planning and execution, and with supervision on project planning.Leadership of Collaborations: Able to lead multidisciplinary teams in a matrix organization.Innovation: Seeks out new clinical discovery opportunities and PoC approaches.Additional consideration for candidates with advanced research experience in data science, genetics/genomics, artificial intelligence applied to clinical research, or digital/wearable health science.Fluent oral and written English**This is a dual level posting. The final level & title of the offer role would be determined by the hiring team based on the skills, experience & capabilities required to perform the role at the level the role has been offered.The salary for this position is expected to range between:Associate Director: $225,400.00 - 322,000.00 - 418,600.00 USD AnnualDirector: $248,500.00 - 355,000.00 - 461,500.00 USD AnnualThe final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors.Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards.US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.To learn more about the culture, rewards and benefits we offer our people click here.EEO Statement:The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility and reasonable accommodationsThe Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to us.reasonableaccommodations@novartis.com or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.Salary Range$248,500.00 - $461,500.00Skills DesiredClinical Trials, Cross-Functional Teamwork, Data Analysis, Data Monitoring, Drug Development, Drug Discovery Process, Medical Research, Medical Strategy (Inactive), People ManagementSummaryLocation: Cambridge (USA)Type: Full time

DescriptionLocation: Cambridge, UK – This position offers flexible working options, including predominantly remote work. Applicants are preferably based (or willing to relocate) within a comfortable commuting distance of our office to attend onsite as required.Want to build the engineering foundations that help teams across Jagex deliver better software, faster?As an Automation Engineer at Jagex, you’ll design, build, and evolve the automation systems, tools, and workflows that support an open-world experience in Unreal Engine across PC and console platforms.As our Lead Delivery Engineer, you’ll establish and lead a new Delivery Engineering function within our Developer Platform division. Your team will own the shared tooling, automation, standards, and engineering practices that help our game, platform, and product teams build, test, and release high-quality software with greater speed, confidence, and consistency.This is a genuinely greenfield opportunity where you'll grow and lead a multidisciplinary team of Automation Engineers, set its direction and priorities, and work with development leads across multiple products and technology stacks to solve delivery challenges and drive the adoption of modern engineering practices.What you’ll be doing:Shape and execute the strategy for Delivery Engineering, establishing a clear roadmap that improves developer productivity, software quality, release reliability, and engineering consistency across Jagex.Build and lead a growing team of Automation Engineers, developing the team’s capabilities across software automation, testing, continuous delivery, release engineering, and developer tooling.Partner with game, platform, and product engineering teams to understand their delivery challenges, turning their needs into practical solutions that development teams trust, adopt, and benefit from.Lead the development of reusable platforms, automation, and engineering standards, helping teams improve how they build, test, release, and operate software while retaining appropriate autonomy.Modernise fragmented tooling and delivery practices across the business, reducing duplication and applying emerging technologies, including AI, where they can demonstrate measurable improvements in engineering productivity.Define and track engineering effectiveness metrics, using data to demonstrate improvements in developer experience, delivery performance, software quality, and platform adoption.What we’re looking for:Proven experience leading the design and evolution of automation platforms, engineering frameworks, or developer tooling within a modern software engineering environment.Strong programming experience in one or more languages, such as C#, Java, Python, Go, or TypeScript, with the technical depth to guide teams in building scalable and maintainable engineering solutions.Extensive experience with automated testing and continuous delivery, including test automation frameworks and CI/CD platforms such as GitHub Actions, TeamCity, Azure DevOps, or comparable technologies.Practical experience with cloud-native engineering environments, including cloud platforms, Infrastructure as Code, configuration management, containerisation, and orchestration technologies such as Terraform, Ansible, Docker, or Kubernetes.Demonstrable understanding of software architecture, distributed systems, and microservices, with experience making pragmatic technical decisions across complex or varied technology stacks.Proven ability to lead technical initiatives and drive adoption, including defining engineering metrics, influencing across teams, and delivering measurable improvements in software delivery.What we offer:When you join Jagex you can look forward to a generous Perks & Benefits package including:Private Healthcare, including Dental Plan.Discretionary annual performance bonus.Minimum 6% Pension contributions.Life Insurance.Enhanced family leave policies from day 1.Flexible working hours.25 days annual leave + Bank holidays & the option to buy/sell holidays + so much more!Inclusion & AccessibilityStatementWe are committed to providing equal opportunities and creating an environment where everyone can thrive. We welcome applications from all backgrounds, and we recruit, develop, and promote based on merit and ability.If you require any reasonable adjustments to support you during the recruitment process, please let us know when you’re invited to interview.Right to Work StatementThis role is only open to applicants who have the permanent right to work in the UK. We are unable to provide or take over visa sponsorship for this position, either now or in the future. Applicants must therefore be able to demonstrate their ongoing eligibility to work in the UK without the need for employer sponsorship.About JagexWe are Jagex: The RuneScape Company. Home to one of gaming’s most enduring success stories. We create deep, community-powered games with worlds that evolve, inspire, and endure. Our flagship MMORPG franchise, RuneScape, has welcomed over 300 million player accounts, inspiring generations of players across PC and mobile for 25 years.As we begin our 26th year, we are accelerating our strategy to expand RuneScape into a broader ecosystem of forever games and connected experiences, grounded in a renewed commitment to integrity and fair play. This includes the reduction of monetisation mechanics, as well as the launch of RuneScape: DragonWilds into Steam Early Access in 2025, representing a major step in building a multi-genre future for the RuneScape universe. We remain focused on building enduring worlds, empowering player-led innovation, and laying the foundations for the boldest era in RuneScape’s history. For more information, visit .Headquartered in Cambridge, United Kingdom, we are home to passionate creators, storytellers, engineers, and even a few dreamers, all united by a single mission to shape the future of online worlds and empower players to make them their own. We’re looking for people to join us who share our ambitions and values. We foster an inclusive workplace built on trust, autonomy, and a shared passion for creating experiences that inspire our communities.Our values guide everything we do: We Embrace Fellowship by collaborating and sharing openly. We Hone our Craft by always learning and improving; We Honour our Vows by being honest and transparent; We are our Customers’ Heroes by striving to understand our team & player needs, and We Seize The Day by making the most of every opportunity.Join us. The next era of RuneScape and the next chapter of Jagex: The RuneScape Company starts now.Job SummaryID: CB50662A4CDepartment: TechnologyType: full time

Reports to: VP of Cheminformatics & Data Architecture Nxera Pharma (formerly Sosei Heptares) is a technology powered biopharma company, in pursuit of new speciality medicines to improve the lives of patients with unmet needs globally. In addition to several products being commercialized in Japan, we are advancing an extensive pipeline of active programs from discovery through to late clinical stage internally and in partnership with leading pharma and biotech companies. This pipeline is focused on addressing major unmet needs in some of the fastest-growing areas of medicine (particularly metabolic and endocrine disorders), and leverages the power of our unique and industry leading GPCR-targeted structure-based drug discovery "NxWave" platform to provide a sustainable source of best- or first-in-class candidates. In Cambridge UK, we have built outstanding research capabilities across our platform, discovery and translational medicine teams, to advance multiple programs from pre-clinical through to early clinical development. In Tokyo, our expert teams are dedicated to late-stage development (Ph 2/3) and innovative commercialization/ go-to-market approaches. Our newly formed NxAQ organisation is building a high throughput AI and physics driven GPCR discovery engine that augments our world class experimental capabilities and extensive proprietary structural and chemogenomic data assets, with the aim of developing drug candidates faster. You will join the Data & Cheminformatics team within NxAQ. The successful candidate will work with stakeholders across the Nxera Pharma R&D business to understand their day-to-day workflows, identify gaps and limitations, and design innovative solutions that reduce friction, costs and cycle times. • Develop web-based tools to handle and track requests/submissions and streamline lab operations., • Implement and automate workflows to store, transform and visualise chemical, pharmacological, structural, biophysical and ADMET data to support project decision making., • Provide tools to enable curation and annotation of experimental data by lab scientists., • Automate manual/semi-manual processes across the business to speed up the day-to-day tasks of both experimentalists and data managers within the team., • Contribute to the maintenance and development of our scientific software and database systems to ensure maximum value can be extracted from our data assets., • A degree in computer science, chemical or biological sciences., • Full-stack software engineering experience in a production environment., • Knowledge of relational database systems, data modelling and SQL., • Experience following software engineering best-practices including version control, containerisation, CI/CD, code-review and testing., • Experience working directly with stakeholders across different disciplines to determine requirements (ideally in a life-science setting)., • Strong communication, presentation and collaboration skills., • Software development experience in the biotech/pharmaceutical sector., • Prior experience working with experimental drug discovery data (e.g., structural, assay, synthesis information) and data-management/ELN systems., • Experience using automation/workflow tools such as Prefect, Pipeline Pilot, Knime., • Knowledge of chemical file formats and chemistry toolkits (e.g., RDKit), • Hands-on experience using AI coding-assistants or agentic tools (e.g., Claude Code, Cursor, Codex)., • State-of-the-art R&D centre located in the heart of the Cambridge science cluster, • Competitive compensation package including discretionary cash bonuses, • 26 days annual leave in addition to public holidays plus the option to purchase an additional 5 days each year, • Employer contribution to pension, • Private Medical Insurance for employees and family and a cash plan for dental and optical reimbursement, • Health and wellbeing benefits including a subsidised individual gym membership, • Income protection to cover long term absences due to ill health, • Group Death in Service equal to 4x basic annual salary At Nxera Pharma, we are passionate about delivering life-changing medicines to patients. We foster an open and welcoming environment where everyone can bring their authentic self to work, harnessing our individual strengths to succeed together. We value our culture rooted in a diverse mix of minds, backgrounds, and abilities, with a deep sense of belonging. For us, inclusiveness is a reflex, not an initiative. We are achieving this through a consistent commitment to fairness, equal opportunity, and equity. #J-18808-Ljbffr

ScionxBio is engineering the next generation of RNA medicines, combining synthetic chemistry and artificial intelligence to create xRNA — a platform for long‑acting therapeutics. By expanding RNA beyond nature's four‑letter alphabet, we engineer molecules that sustain protein expression for weeks to months rather than days, with a lower immunogenic burden and the durability that chronic disease demands. At the heart of the platform is our TERA® engine, a closed‑loop system in which deep‑learning design, proprietary combinatorial assembly, high‑throughput screening, and continuous model retraining work together to optimise each molecule for its payload. With an initial focus on cardiometabolic disease, we are working to turn transient treatments into durable therapies. A spin‑out from Eleven Therapeutics, we are an international team operating across Cambridge (UK), Tel Aviv, and Cambridge (MA), with our Cambridge (UK) site serving as our largest research and development hub. The Vice President of Platform is the architect of ScionxBio's core technology engine. Reporting to the CEO and sitting within the company's senior leadership, this individual owns the entire upstream pipeline — from computational design and AI‑driven sequence optimisation through to the formulation and delivery systems that carry our molecules into the body, and onward into the evolution of our next‑generation xRNA modalities. This is a rare opportunity to lead, and continue to build, the platform that defines the company: to set its scientific direction, to shape a multidisciplinary team of exceptional scientists and engineers, and to translate a validated modality into a durable, defensible, and endlessly generative source of medicines. We are looking for a scientific leader who is equally comfortable setting long‑range strategy and engaging deeply with the technical substance of the work. • Computational Biology and AI Innovation Lead the development of our proprietary AI/ML models and computational biology pipelines for sequence design, structural prediction, and codon optimisation, with the goal of maximising translation, stability, and tissue specificity. This work is conducted in close collaboration with our strategic advisor. • Next‑Generation xRNA Evolution Spearhead the continued strategic evolution of our modality, guiding the platform's advance into ever more sophisticated xRNA chemistries and ensuring that it remains firmly at the state of the art. • Formulation and LNP Development Oversee the formulation engineering team in optimising lipid nanoparticles (LNPs) for targeted, safe, and efficient in vivo delivery, again working in collaboration with our strategic advisor. • Platform Scalability Ensure that platform discoveries are robust, reproducible, and engineered from the outset with manufacturing scalability in mind, so that what works at the bench translates reliably towards the clinic. • Strategic Leadership Own the resourcing, planning, and timelines for the platform team, and mentor and grow a multidisciplinary group of data scientists, biologists, and engineers into a high‑performing, collaborative whole. • Intellectual Property Generation Actively identify and protect novel sequence motifs, AI design algorithms, and proprietary LNP formulations, building and defending the intellectual property moat that underpins the company's long‑term value. • Platform Interfacing Serve as the pivotal bridge between Platform and Discovery, working closely with our chemistry and biology colleagues to transition optimised candidates smoothly from the Platform team into the Discovery team. • A PhD in a relevant discipline — for example computational biology, bioinformatics, RNA biology, biochemistry, chemical or biomedical engineering, or a closely related field — together with substantial and progressive experience in RNA, oligonucleotide, or nucleic‑acid therapeutics, gained over a senior industry career., • A demonstrable track record of building and leading platform or technology functions in a biotech or pharmaceutical setting, including direct leadership of multidisciplinary teams spanning computation, biology, and engineering., • Deep, hands‑on familiarity with the application of AI and machine learning to molecular design, together with a genuine understanding of the experimental science the platform serves., • Strong knowledge of delivery technologies, in particular LNP formulation for nucleic acids, and of the considerations that carry a discovery‑stage platform towards manufacturable, scalable processes., • A record of intellectual property generation, and the strategic instinct to recognise and protect what is defensible., • Outstanding leadership, communication, and collaboration skills, with the ability to operate effectively across a geographically distributed, multicultural organisation and to translate between technical and strategic audiences. The opportunity to own and shape the defining technology platform of an ambitious, well‑founded biotech at a pivotal moment in its story; a seat within the senior leadership team, with real influence over the company's scientific direction; and the chance to build something durable alongside a talented, international community at the heart of the Cambridge life sciences ecosystem. #J-18808-Ljbffr

Salary: £60,000 - 100,000 per year • Proven experience building agentic AI systems that generate, optimize, and deliver scalable applications in production environments, • Strong software engineering foundation with a track record of shipping reliable, performant systems at scale, • Deep familiarity with modern LLM orchestration tools, prompt engineering techniques, and AI/ML frameworks, • Experience with retrieval-augmented generation (RAG), function/tool calling, and evaluation-driven development for AI agents, • Proficiency in TypeScript or similar languages, and Python for agent development, scripting, and pipeline automation, • Strong technical communication skills, root cause analysis abilities, and a proactive mindset with passion for fast iteration, • A builders mentality, with the ability to create autonomous systems that multiply the impact of entire teams, • Apply strong software engineering principles to design, build, and ship reliable, performant systems at scale, • Bring rigorous software engineering practices, including clean architecture, testing, and code review, to building systems that are reliable and performant at scale, • Apply sound software engineering fundamentals, including system design, testing, and code review, to ship reliable, performant systems at scale, • Design, build, and deploy agentic AI systems that autonomously generate, test, and optimize BrightScript and TypeScript code and UI experiences for the FRAME engine, • Architect multi-agent workflows covering planning, tool-use, retrieval, execution, and validation to accelerate development and reduce manual engineering effort across the team, • Develop AI-powered automation that understands the constraints of embedded C++ environments and produces performance-safe, memory-efficient outputs, • Build and maintain evaluation frameworks to measure agent reliability, accuracy, and performance in production-critical contexts, • Collaborate with cross-functional teams, including firmware, UI, and product, to identify high-impact opportunities for AI-driven automation and intelligent tooling, • Stay at the forefront of agentic AI research, including LLM orchestration, RAG, function calling, and autonomous code generation, and bring those advances into our platform, • Mentor engineers across the team on AI-first development practices and help establish best practices for human-agent collaboration, • Agentic AI, • AI, • AI Agents, • Architect, • BrightScript, • Embedded, • Firmware, • Support, • LLM, • Python, • RAG, • Roku, • TypeScript, • UX UI Design, • Claude Code, • Cursor, • Fine-tuning, • JavaScript, • LESS, • MCP We are Roku, the #1 TV streaming platform in the U.S., Canada, and Mexico, and we are working to power every television in the world. Our Device Monetization and Themed Experiences team within the Advertising organization builds the high-performance graphics and UI foundations behind the AD Display, supporting millions of devices worldwide. This role is based in a collaborative, high-trust environment where teams generally work in the office Monday through Thursday, with Fridays typically flexible for remote work except where role or location requirements differ. We offer a comprehensive benefits package that may include healthcare, mental health and financial wellness support, retirement options, leave policies, and other local benefits depending on location. We value a fast-paced, pragmatic culture focused on teamwork, bold thinking, and delivering real solutions to customers. last updated 36 week of 2026 #J-18808-Ljbffr

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. 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. Isomorphic labs are seeking exceptional individuals to join a highly impactful Translational Biology sub-team, within our Translational Sciences team. This role is ideal for an experienced translational biologist with a skill for designing fit-for-purpose screening cascades to provide robust experimental evidence that our ML-designed medicines will have the desired therapeutic product profiles (TPPs). This is an exciting opportunity to work closely with world leading ML and drug discovery experts to develop imaginative new ways to test biological hypotheses, building a deep mechanistic understanding of drug target interactions in disease to drive our projects forward. You will be responsible for establishing and implementing translational strategies, advancing our oncology, immunology and partnership portfolios from early drug discovery through to candidate selection and ultimately to clinical phase work. You will serve as a vital link between computational biology and experimental validation, driving progress within a fully externalized model supported by CRO partnerships. You will have experience of working broadly across drug discovery projects and have the ability to think originally and critically, knowing when to apply innovative ideas, and think with a fresh approach. • Oversee the comprehensive planning, methodology development, fiscal management, and implementation of target-specific in vivo pharmacology, PK/PD, and safety assessments throughout our project portfolios., • Design robust translation strategies explicitly geared toward clinical translation, leveraging datasets and biomarkers to inform patient selection frameworks., • Play a critical role in defining the most appropriate model paradigm (in vivo, ex vivo patient-derived tissue etc) for each project’s translational package, including developing a biomarker strategy to deliver early clinical proof of concept., • Work with CROs to design decision-making experiments, and deliver the highest quality biological data to inform the path to the clinic., • Provide scientific expertise to the ML and computational biology teams, to support the development of world-leading models of biological systems., • Distill biological data into useful insights and recommendations for project leaders, project team members, and partners., • Be closely integrated within or lead projects to provide strategic input to deliver project success., • Analyze and interpret experimental data to deliver high-quality reports that drive go/no-go decisions and support IND regulatory filings., • Act as a vital bridge between computational prediction and experimental reality, collaborating closely with:, • ML and Data Science Teams: To translate in silico predictions into physical validation protocols and provide clean data loops to train future models, iteratively improving the predictive accuracy of our proprietary drug design platform., • Discovery Biology and Lead Optimization: To seamlessly transition hits generated by our drug design engine into advanced preclinical characterization and guide SAR-driven design cycles with rapid, reliable preclinical efficacy data., • DMPK and Toxicology: To align in vivo efficacy with ADME and exposure data, informing safety windows and dose selection., • Clinical Development and Program Management: To translate preclinical PK/PD hypotheses into first-in-human trial designs, biomarker strategies, and patient inclusion criteria., • Ph.D. in Pharmacology, Immunology, Cancer Biology, Molecular Biology, or a related scientific discipline., • Deep understanding of target, mechanism, and disease interdependencies, preferably in oncology or immunology., • Expert knowledge of innovative translational models, particularly in oncology and/or immune disorders., • Extensive pharma/biotech experience developing Target Product Profiles (TPPs) and converting them into biological screening cascades, to guide impactful drug development., • Proven track record in constructing translational data packages and biomarker strategies to inform clinical trial design., • Experience in designing PK/PD experiments for human dose prediction and collaborating with ADMET, formulation, and clinical specialists to refine strategies., • Ability to phase translational biology activities collaboratively, considering interdependencies to generate relevant data efficiently., • Proven track record managing multi-vendor CRO networks (including contract negotiation, timeline accountability, and data quality oversight) and the ability to lead and influence teams without direct authority, setting technical direction and driving execution across matrixed, externally-dependent programs., • Dynamism and agility, with ability to work across several projects and therapeutic areas., • Exceptional project management skills with the ability to manage multiple complex external studies simultaneously., • Effective communication across a broad interdisciplinary team, working with key stakeholders with different skills and backgrounds., • Experience of leading biology within drug discovery programs, ideally from inception to clinical candidate delivery., • Track record of driving strategic de-risking and SAR strategies, collaborating effectively across disciplines, including medicinal chemistry and DMPK. Good understanding of medicinal chemistry concepts., • General knowledge of machine learning modelling applied to biological systems and drug discovery., • Solid understanding of the competitive landscape in oncology and/or immunology or inflammation. 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. 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. 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, andwould 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. #J-18808-Ljbffr

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. 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. The DMPK and Quantitative Pharmacology team, part of the Preclinical Development group, accelerates the delivery of high quality drug candidates by developing innovative and creative AI-first solutions. By applying our domain expertise and through collaboration with the entirety of our world-class drug discovery disciplines and ML researchers, we ensure that drug-like properties are at the heart of our drug design engine. We shape the development of state-of-the-art ADME and toxicology predictive models. We rethink drug discovery from Hit ID to first-in-human (FIH) trials by optimising the context of use of these models. At Isomorphic Labs, DMPK Leads drive the DMPK strategy of drug discovery projects to deliver high quality clinical candidates whilst using and contributing to the optimisation of state-of-the-art computational and AI ADME models. As part of the Drug Design and Medical Research team and through close collaboration with the Technology teams, you will be supporting the business alongside world leading AI/ML Drug Design Platform teams. You will collaborate to deliver scientific expertise and strategic direction to drive both improvements in the Platform and apply this to real drug design projects. If you are a skilled and ambitious scientist looking to take the next step in your career, joining Isomorphic Labs will lift you out of your comfort zone and provide you with an amazing opportunity for personal growth and development. • Design and implement stage-appropriate DMPK strategies with AI-first approach, integrating quantitative pharmacology and overall project strategies., • Design screening cascade and mechanistic experiments to support project progression in a data-driven manner., • Integrate DMPK, PD and toxicological data to extract decision-making information, including dose and safety window predictions., • Define Quantitative Pharmacology strategy in collaboration with Pharmacology Leads., • Optimise the use of Iso’s datasets to address fundamental DMPK questions and advance the field., • Optimise molecule design based on physico-chemistry and biotransformation knowledge in collaboration with Chemistry Leads., • Maintain knowledge of state-of-the-art technologies and methods to increase confidence in human PK prediction., • Author DMPK sections of regulatory documents., • Embrace and champion a culture of inclusion and continuous professional development., • PhD in either Pharmaceutical Science, Pharmacy, Chemistry, or another relevant subject., • 7-10+ years’ professional experience in a DMPK role, operating within a biotech or pharma setting, solving small molecule DMPK-related problems in drug discovery with a track record of working collaboratively to deliver high quality candidates., • Practical experience developing DMPK and quantitative pharmacology packages to support early clinical development, including authoring and reviewing regulatory documents, ideally in oncology or immunology., • Experience of partnering closely with Preclinical and Clinical teams., • In depth knowledge of biotransformation., • In depth knowledge of PK modelling and scaling of ADME properties., • Experience with peptides and other new modalities., • Advanced knowledge of PK/PD modelling., • Good understanding of machine learning techniques., • Familiarity with Python and R. 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. 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. 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, andwould 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. #J-18808-Ljbffr

As Director of Drug Discovery, you will drive scientific strategy and execution across multiple therapeutic programs. You will lead a multidisciplinary team of scientists spanning biology, pharmacology, chemistry, and translational research, and play a key role in building our discovery engine. • Lead and oversee early-stage discovery programs from concept to IND-enabling studies., • Define scientific vision and priorities in alignment with company strategy., • Manage and mentor teams across biology, assay development, pharmacology, and chemistry., • Evaluate and integrate new technologies (e.g., AI, high-throughput screening, single-cell omics, electrophysiology, etc.) to enhance discovery pipelines., • Collaborate with external partners, CROs, and academic collaborators., • Present progress and strategy to executive leadership, board members, and investors., • PhD in Pharmacology, Molecular Biology, Neuroscience, or related field., • 10+ years of experience in drug discovery, with a proven track record of moving programs from target validation to preclinical development., • Strong leadership and communication skills with experience managing diverse scientific teams., • Deep understanding of translational science and project prioritization in a biotech or pharma setting., • Demonstrated success in building pipelines and delivering high-quality candidates., • Lead a world-class discovery team in a fast-growing biotech., • Directly influence company strategy and R&D innovation., • Work with cutting-edge tools and technologies in a collaborative, mission-driven environment., • Competitive compensation, stock options, and comprehensive benefits. #J-18808-Ljbffr

Flok Health seeks a high-impact Chief of Staff to partner with the CEO in building the operating engine for a leading healthcare tech company. You will own strategic initiatives, drive board and investor relations, and establish rigorous internal cadences as Flok scales toward population-level care. This leadership role requires real ownership of outcomes in a fast-growing startup, with a focus on credible external-facing communication and a structured approach to execution. #J-18808-Ljbffr

Marketing Manager Required! Our client is a family-owned business with over 30 years of success as a leading manufacturer and distributor of window and door hardware. On behalf of our client, we are seeking an experienced and commercially focused Marketing Manager to lead their marketing function. Reporting directly to the Managing Director, you will shape the brand strategy, drive awareness and demand across both trade and retail markets, manage a team of two, and contribute to key commercial decisions. This is a hands-on leadership role, requiring a balance of strategic thinking and practical delivery. The ideal candidate will be a confident user of AI, applying it to market research, insight generation, and content creation to deliver commercially effective, brand-consistent marketing. Package: • Monday-Friday 8:30am - 5:00pm FULLY OFFICE BASED., • Company pension scheme, • Salary up to £60,000 (DOE), • Opportunity to earn two discretionary bonuses annually, based on company profit, • 25 days holiday + bank holidays Marketing Manager - Responsibilities: • Lead brand strategy, annual marketing plans, and integrated campaigns across trade and consumer channels to support business growth., • Present marketing performance, insights, and recommendations to the MD and senior leadership team., • Use AI-powered research and analytics tools including Perplexity Enterprise, Brandwatch, Talkwalker, Statista, Qualtrics, and GA4 to identify market trends, customer behaviour, competitor activity, and growth opportunities., • Apply customer insights and predictive analytics to shape commercial strategy and audience development., • Deliver AI-enabled content creation using Midjourney, Adobe Firefly, Canva AI, DALL-E 3, and Runway ML, ensuring brand consistency, IP/licensing compliance, and effective governance., • Create AI workflows, prompt libraries, and templates using ChatGPT, Claude, Gemini, Jasper, and Writer.com to improve marketing efficiency., • Manage digital marketing activity across website, SEO, paid search, email, social media, and e-commerce, using analytics and CRO to optimise performance., • Lead content, SEO, and GEO strategies across product pages, case studies, technical content, and Knowledge Hub resources., • Manage marketing platforms including GA4, SEMrush/Ahrefs, HubSpot, Klaviyo, and Clearscope., • Deliver product launches, trade promotions, seasonal campaigns, and exhibition activity including FIT Show and Fensterbau., • Manage agencies, suppliers, marketing collateral, and technical documentation., • Lead and develop the marketing team while collaborating with Sales, Estimating, and Product teams to deliver commercially focused activity. Marketing Manager - Requirements: • Minimum five years' marketing management experience, ideally within a B2B or trade-focused environment (ideally building products, joinery, construction or specialist hardware), with clear progression in responsibility., • Relevant marketing qualification - CIM Chartered Marketer, degree in Marketing, Business, or equivalent professional qualification, • Proven hands-on experience using generative AI tools in a commercial environment, with AI embedded in day-to-day marketing activities., • Strong prompt engineering skills, with the ability to develop, refine and document prompts for LLMs and image generation tools to produce consistent, on-brand content., • Practical experience with AI-powered design tools, including Midjourney for ideation and Adobe Firefly and/or Canva AI for commercial content creation., • Good understanding of the intellectual property, licensing and brand governance considerations surrounding AI-generated content., • Experience using AI-driven market research and brand intelligence platforms such as Brandwatch, Perplexity, or equivalent., • Knowledge of Generative Engine Optimisation (GEO), with an understanding of how to optimise content for AI-powered search as well as traditional search engines., • Strong digital marketing expertise across SEO, PPC, email marketing, social media, GA4 analytics and CMS management., • Experience leading, managing and developing a small marketing team., • Excellent written and verbal communication skills, with the ability to present marketing strategies and AI-driven insights clearly to senior stakeholders. Streamline Search is acting as a Recruitment Agency in relation to this vacancy, and in accordance with GDPR by applying to this post you are granting us consent to process your data and contact you in relation to this application. JBRP1_UKTJ

Electrical Maintenance Engineer - Pharmaceutical Environment - FM Service Provider - Cambridge - Up to £45,000. An exciting opportunity to join an established building services company based in Cambridge has arisen! CBW Staffing Solutions is currently recruiting for an Electrical Maintenance Engine

Job Description: Call Centre agent Trade Mastermind (End-to-End B2B Sales) Location: Peterborough HQ Salary: £27,000 - £30,0000 + uncapped commission OTE: £45,000£65,000+ Bonuses: Ticket sales commission + attendance override bonuses Package: Full sales training | Fast progression | Private healthcare | Pension Join a High-Performance Sales Team at One of the UKs Fastest-Growing Education Companies Trade Mastermind is the UKs leading business education and coaching company for the construction industry. Founded by BBC The Apprentice winner Joseph Valente, weve helped over 5,000 trade business owners grow their companies, with an average of 370% growth in year one. We are now hiring Call Centre agent to join our high-energy outbound sales team, selling £97 Discovery Day business training events. This is a full end-to-end sales role you will book your own clients, manage them through the journey, and close face-to-face sales on the day of the event. The Role End-to-End Sales Ownership You will be responsible for the full client journey: • Calling warm outbound leads, • Selling tickets to Discovery Day events, • Booking your own clients onto events, • Building and managing your own sales pipeline, • Following up and nurturing prospects before the event, • Meeting your clients face-to-face on the event day, • Closing sales in person when they arrive You are the front end and closing point of the Trade Mastermind sales engine. What Youll Get • £27,000-£30,000 base salary, • Uncapped commission, • Commission on ticket sales, • Monthly incentives, • Full sales training and daily coaching, • Fast-track progression into Team Leader or Manager roles, • 20 days holiday + bank holidays, • Access to our new 20,000 sq. ft. Trade Mastermind University HQ What Youll Do Day to Day • Make high-volume outbound calls to warm leads, • Convert business owners into Discovery Day attendees, • Build and manage your own pipeline, • Use structured follow-up and objection-handling frameworks, • Track KPIs daily and work to clear targets, • Deliver professional, confident calls every time, • Meet clients face-to-face and close sales on event days What Were Looking For You must have: • Minimum 3 years outbound phone sales experience, • Proven track record of closing sales, • Strong pipeline and follow-up management skills, • Experience working to high call volumes and clear KPIs, • Confidence, energy, and resilience, • Strong objection-handling and communication skills, • A competitive, results-driven mindset This Role Is NOT For • Inbound-only salespeople, • Appointment setters with no closing experience, • Anyone uncomfortable with targets or call volume, • People who do not want face-to-face sales responsibility Career Progression Trade Mastermind is scaling fast. Performance is rewarded quickly: • Senior Sales Executive, • Team Leader, • Telesales Manager, • High-Ticket BDM, • Sales Manager / Division Lead Promotion is based on performance -not time served. If you want full ownership of the sales journey, uncapped earning potential, and real career growth, this is the role for you. JBRP1_UKTJ