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Make your mark for patientsWe are looking for a Principal Scientist, Non-Clinical PKPD, who is innovative and agile to join us in our Clinical Development Sciences Group, based at the R&D site in Slough, UK, then Windlesham, Surrey (2027).About the role The Non-Clinical PKPD group sits within the Quantitative Clinical Pharmacology (QCP) function of Early Clinical Development & Translational Science (ECD-TS) Department. Below covers everything you need to know about what this opportunity entails, as well as what is expected from applicants. Our goal is to use integrated quantitative approaches as an essential strategic driver from target to market to bring differentiated solutions to patients. We are driving the quantitative integrated strategy of pharmacokinetics and pharmacology (e.g. PKPD, Systems modelling and clinical pharmacology/pharmacometrics) together with DMPK activities throughout the entirety of the lifetime of projects, from target identification through to life cycle management. Who you’ll work withWe operate and collaborate closely with colleagues in Development Sciences, which, as a department, is responsible for providing strategy and support in bioanalysis, immunogenicity, safety, pathology, and regulatory activities. Work with external partners, academic institutions, CROs and consultants as required.What you’ll doDevelop and drive the nonclinical PKPD strategy for projects. Communicating effectively ensuring implementation in projects.Ensure translation from in vitro data and in vivo nonclinical studies to prediction of efficacy and safety in patients. Initiate and engage in multifunctional collaborations to facilitate the advancement of drug candidates and build a thorough knowledge of drug pharmacology and PKPD, leading to quantitative translation to the clinic.Build PKPD models of sufficient complexity to allow hypothesis testing and inform decision-making. Represent the interests of QCP internally and externally in matters relevant to mechanistic PKPD and contribute to enhancing the scientific reputation of Non-Clinical PKPD, QCP and UCB.Provide required support and input into regulatory study protocols, reports and summaries, and regulatory submission documents.Interested? For this role you will need the following education, experience and skillsPhD in relevant discipline (pharmacology, pharmaceutical sciences, pharmacokinetics/pharmacodynamics, system biology or related fields).Good understanding of pharmacology and pharmacologic processes related to disease and drug mechanisms. Expertise and proven application of PKPD methods and concepts in support of drug discovery and development; systems modelling experience would be advantageousDemonstrated experience in developing and executing effective non-clinical PKPD strategies from early discovery through to clinic.Demonstrated experience and leadership skills working within a matrix environment with a wide range of internal stakeholders including Non-Clinical Safety, Bioanalysis, Clinical Pharmacology and Translational Medicine.Experience in using modelling and simulation packages such as Phoenix, Berkeley Madonna, R and Monolix.Are you ready to ‘go beyond’ to create value and make your mark for patients? If this sounds like you, then we would love to hear from you! About us UCB is a global biopharmaceutical company, focusing on neurology and immunology. We are over 9.000 people in all four corners of the globe, inspired by patients and driven by science. Why work with us? At UCB, we don’t just complete tasks, we create value. We aren’t afraid to push forward, collaborate, and innovate to make our mark for patients. We have a caring, supportive culture where everyone feels included, respected, and has equal opportunities to do their best work. We ‘go beyond’ to create value for our patients, and always with a human focus, whether that’s on our patients, our employees, or our planet. Working for us, you will discover a place where you can grow, and have the freedom to carve your own career path to achieve your full potential. At UCB, we’ve embraced a hybrid-first approach to work, bringing teams together in local hubs to foster collaborative curiosity. Unless expressly stated in the description or precluded by the nature of the position, roles are hybrid with 40% of your time spent in the office.UCB is an equal opportunity employer. All employment decisions will be made without regard to any characteristic protected by applicable laws. xrnqpay Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on Please note should your enquiry not relate to adjustments; we will not be able to support you through this channel.Job SummaryJob number: 92379Date posted : 2026-04-28Profession: Research & DevelopmentEmployment type: Permanent

Make your mark for patientsWe are looking for a Digital Technology Lead for Information Architecture, who is collaborative, curious, and proactive to join us in our Digital Technology Patient Solutions team, based in Slough, UK (Windlesham, Surrey from 2027), Braine l’Alleud, Belgium or Boston, USA. About the role:You will be working in a Digital Technology team that designs and delivers technology solutions for Patient Solutions, UCB’s research and early development (R&eD) department. A variety of soft skills and experience may be required for the following role Please ensure you check the overview below carefully. You connect scientific needs with robust, compliant technology, leading complex data architecture initiatives from strategy through delivery in a matrix organization. You will design information architectures and solutions, drive technology innovation and contribute to the redesign of our research data foundation. Your digital project portfolio accelerates research & early development, and ultimately has a positive impact on the lives of patients worldwide. Who you’ll work with:You will be working in a global and multidisciplinary team alongside research scientists, technology specialists, data governance colleagues, and external partners. You will engage with stakeholders across science and technology to understand needs, clarify requirements, and translate opportunities into practical, scalable solutions. You will collaborate with enterprise IT services for operations, compliance, and support, and you will help unite diverse teams to share innovation and accelerate delivery in a supportive, inclusive environment. What you’ll do:Co-design the information architecture for our global research and early development organization, ensuring data are FAIR and ALCOA+. Lead a digital transformation project portfolio to deliver a scalable data foundation for UCB’s R&eD organization to deliver re-usable and AI-ready data products for the entire company. Implement scalable metadata management technologies to improve data quality, lineage, and discoverability Oversee system interdependencies, scale transversal solutions, and ensure compliant operations. Interact closely with scientists and data owners across our global R&eD organization, while maintaining equally close interactions with your transversal DT colleagues. Follow emerging technologies closely and participate in defining the (digital) technology roadmap for Patient Solutions and accelerate digital transformation Interested? For this role we’re looking for the following education, experience and skills:Master’s or PhD degree in a scientific or technology field; good knowledge of biology, chemistry, pharmacy, bioengineering or related sciences Deep IT technical expertise in designing data foundation environments with the latest technologies. Mandatory hands-on experience with databricks/snowflake configuration/pipeline implementation and data catalogues. Experience in information architecture design for global digitalization programs in a research and early development context. Good understanding of advanced scientific and laboratory information systems (ELNs, entity & sample registries, modeling & analytics, …), and experience with integrating these in a data foundation architecture. Good understanding of scientific data formats and types, data management, metadata governance and data modelling Experience applying AI-driven approaches to data or metadata management Strong understanding of structured and unstructured data management Understanding of pharmaceutical and biotechnological research, ability to bridge research and technology with clear communication towards scientific and IT-technical stakeholders Curious and innovative mindset with a positive ‘can do’ attitude Are you ready to ‘go beyond’ to create value and make your mark for patients? If this sounds like you, then we would love to hear from you! About us UCB is a global biopharmaceutical company, focusing on neurology and immunology. We are over 9.000 people in all four corners of the globe, inspired by patients and driven by science. Why work with us? At UCB, we don’t just complete tasks, we create value. We aren’t afraid to push forward, collaborate, and innovate to make our mark for patients. We have a caring, supportive culture where everyone feels included, respected, and has equal opportunities to do their best work. We ‘go beyond’ to create value for our patients, and always with a human focus, whether that’s on our patients, our employees, or our planet. Working for us, you will discover a place where you can grow, and have the freedom to carve your own career path to achieve your full potential. At UCB, we’ve embraced a hybrid-first approach to work, bringing teams together in local hubs to foster collaborative curiosity. Unless expressly stated in the description or precluded by the nature of the position, roles are hybrid with 40% of your time spent in the office.UCB is an equal opportunity employer. All employment decisions will be made without regard to any characteristic protected by applicable laws. xrnqpay Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on Please note should your enquiry not relate to adjustments; we will not be able to support you through this channel.Job SummaryJob number: 94309Date posted : 2026-10-07Profession: Finance, Digital, IT & Project ManagementEmployment type: Permanent

Career Category Clinical Job Description Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. Amgen is advancing a broad and deep pipeline and portfolio of medicines to treat heart disease, obesity and obesity-related conditions, rare diseases, inflammatory conditions and cancer. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Let’s do this. Let’s change the world. In this vital role you will generate evidence to meet Health Technology Assessment (HTA) requirements, while ensuring that the analyses performed meet required standards and are robust and valid. • Achieve results through detailed goal setting, accountability measures, effective partnerships, collaboration with other groups and a dedication to serving customers, both inside and outside of CfDA, • Represent CfDA at multi-disciplinary teams, advocating for robust and appropriate statistical strategies, • Contribute to all aspects of evidence generation to meet HTA needs, including Systematic Literature Reviews (SLRs), Evidence Synthesis Feasibility Assessments (ESFA), analysis methodology, and technical report production, • Complete statistical analysis of evidence generation projects, • Support departmental activities including methodology research, analysis toolkit development, and creation and roll-out of training materials, • Stay up to date with HTA policies and requirements, and statistical advances in the HTA setting You would be joining the Design & Innovation group within the Center for Design and Analysis (CfDA). We are all different, yet we all use our unique contributions to serve patients. What we seek in you as an experienced professional, are these qualifications and skills: • Educated to PhD level in Statistics/Biostatistics, • Statistical experience in the pharmaceutical industry or medical research, • Knowledge of R and other statistical software (e.g., SAS), • Excellent communication skills and ability to work optimally within teams while also possessing the capacity to autonomously manage tasks and projects, • Preferably, experience of working on HTA evidence generation projects, from strategy planning through to analysis, reporting and submission As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Ability to work flexibly from home with regular office work either from our Cambridge or Uxbridge next generation workspace. As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer. We make all employment decisions without regard to race, color, religion, sex or any other characteristic protected by applicable law. We provide reasonable accommodations to applicants and employees with disabilities, consistent with legal requirements. Please contact us to request accommodation. Amgen is committed to unlocking the potential of biology for patients suffering from serious illnesses by discovering, developing, manufacturing and delivering innovative human therapeutics. This approach begins by using tools like advanced human genetics to unravel the complexities of disease and understand the fundamentals of human biology. Amgen focuses on areas of high unmet medical need and leverages its biologics manufacturing expertise to strive for solutions that improve health outcomes and dramatically improve people's lives. A biotechnology pioneer since 1980, Amgen has grown to be one of the world’s leading independent biotechnology companies, has reached millions of patients around the world and is developing a pipeline of medicines with breakaway potential. For more information, visit www.amgen.com and follow us on www.twitter.com/amgen #J-18808-Ljbffr

At Bristol Myers Squibb, our employees often ask, "Who are you working for?"-a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it. Are you a hands-on data scientist with a passion for turning complex, multi-modal data into actionable insights that shape clinical decisions? Bristol Myers Squibb is seeking a Senior Manager, Data Science to join our Drug Development Data Science & Advanced Analytics (DSAA) team. • Develop and apply novel computational methods for patient segmentation, biomarker discovery, and hypothesis generation from multimodal clinical and omics datasets, in partnership with Translational, Clinical, and Statistical Scientists, • Execute data science analyses on datasets from BMS clinical trials and real-world data cohorts, spanning genomics, proteomics, imaging, flow cytometry, and other high-dimensional biomarker data types, • Develop innovative approaches to integrating, mining, and visualising diverse, high-dimensional, and disparate datasets generated across early-to-late phase drug development, • Formulate, implement, test, and validate predictive models and build efficient, automated processes for delivering modelling results at scale, • Apply modern machine learning capabilities - including AI/ML, deep learning, NLP, causal ML, and explainable AI - across multiple data modalities and clinical development contexts, • Apply statistically rigorous approaches to clinical trial data, including survival analysis, longitudinal/mixed-effects modelling, and appropriate handling of missing data and censoring, • Contribute to the scientific and statistical strategy of drug development programs, including the development of predictive biomarkers, novel trial designs, and precision medicine approaches, • Build and maintain well-structured, reproducible, version-controlled analytical pipelines and codebases using Python, R, SQL, and cloud platforms, • Develop and apply data quality frameworks to assess and ensure fitness-for-purpose of diverse data sources for specific analytical questions, • Implement strong model evaluation practices including cross-validation strategies, calibration assessment, and transparent reporting of model performance and limitations, • Build scalable, automated processes for delivering analytical results across multiple programs and data types, • Partner with lead and protocol statisticians in contributing to statistical analysis plans (SAPs) for exploratory data science analyses supporting drug development programs, • Collaborate with cross-functional teams including clinicians, translational medicine scientists, biostatisticians, data engineers, and IT/engineering professionals, • Contribute to team excellence through code reviews, technical mentorship, and raising the overall engineering and methodological standards of the team, • Communicate analytical strategies and results clearly and effectively to both technical and non-technical stakeholders, with strong data presentation and visualisation skills, • Manage and coordinate deliverables across concurrent, fast-paced projects within tight timelines, • PhD in a relevant quantitative field (e.g., Computational Biology, Biostatistics, Statistics, Biomedical Engineering, or Computer Science) with 1+ years of academic/industry experience; or a Master's Degree in a relevant quantitative field with 3+ years of industry experience, • Strong experience in data science and statistical analysis using clinical trial or electronic health records data, particularly in a pharma R&D context, • Experience developing and validating statistical and machine learning models on high-dimensional data for time-to-event, longitudinal, and multivariate outcomes, • Experience in the application of AI/ML and proficiency in Python, R, SQL , and cloud platforms (e.g., AWS, Azure, Databricks), • Familiarity with clinical trial design, drug development processes, and the role of biomarkers in regulatory and clinical decision-making, • A perspective on leveraging innovati #J-18808-Ljbffr

This role will focus on expanding the Revvity Signals business across Nordics, engaging with pharmaceutical, biotechnology, CRO, Material Science, healthcare, and research organizations. The ideal candidate is an enterprise seller with strong industry knowledge, a proven ability to manage long and complex sales cycles, and the drive to consistently exceed revenue targets. This position will manage both new business development and existing accounts. • Drive the growth of Revvity Signals software solutions across the Nordic region, • Develop and execute sales plans targeting organizations involved in Research & Development, translational science, and clinical data management, • Identify and develop new enterprise opportunities within pharmaceutical, biotech, CRO, Material Science and healthcare organizations, • Build and manage relationships with key decision-makers and executive stakeholders, • Demonstrate a hunter mindset through proactive prospecting, lead qualification, and pipeline development, • Understand customer Research and Development workflows, challenges, and digital transformation initiatives and align them with Revvity Signals solutions, • Deliver compelling value-based sales presentations demonstrating business and scientific impact, • Manage the full enterprise sales cycle, from opportunity identification through contract negotiation and closing, • Collaborate with pre-sales, consulting, and technical teams to develop tailored solutions, • Maintain a strong and predictable sales pipeline and accurate forecasting, • Negotiate complex enterprise software and service agreements, • Represent Revvity Signals at industry conferences, customer meetings, and executive briefings, • 10+ years of experience selling enterprise software solutions, • Proven success selling into enterprise-level organizations, • Experience selling to both scientific business stakeholders and IT leadership, • Strong understanding of the life sciences, Material Science or healthcare industry, • Demonstrated success managing complex, multi-stakeholder enterprise sales cycles, • Consistent track record of exceeding sales quotas, • Experience selling informatics, data platforms, analytics, or scientific software preferred, • Education in life sciences, chemistry, biology, or related fields (BS, MS, or PhD) preferred but not required, • Willingness to travel across Nordic as required, • Strong ability to communicate value-based enterprise software solutions to executive audiences, • Excellent presentation, negotiation, and stakeholder management skills, • Ability to translate technical and scientific capabilities into clear business value, • Strong written and verbal communication skills, • Highly organized with the ability to manage multiple opportunities and long sales cycles, • Experience using CRM and sales management tools, • Self-driven, competitive, and motivated with a strong team-oriented mindset, • Ability to effectively manage time and prioritize responsibilities in a dynamic, fast-paced environment #J-18808-Ljbffr

The essential requirements of the job include:Bachelor’s degree in biology or medical disciplines or biology related field required or equivalent experienceMinimum of 5 years of demonstrated success in sales, commercial marketing, product management, or similar functionsProven experience in Life S

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FindTutors is looking for passionate Biology tutors to join our growing online teaching community.Whether you’re a private tutor or prefer online sessions, we provide the platform to connect with students across the UK.No previous tutoring experience required.Flexible hours and remote teaching opt

FindTutors is looking for passionate Biology tutors to join our growing online teaching community.Whether you’re a private tutor or prefer online sessions, we provide the platform to connect with students across the UK.No previous tutoring experience required.Flexible hours and remote teaching opt

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FindTutors is looking for passionate Biology tutors to join our growing online teaching community.

FindTutors is looking for passionate Biology tutors to join our growing online teaching community.

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All pupils study biology, chemistry and physics as separate subjects in Year 9. We are looking for an enthusiastic Teacher of Biology to join our dynamic and successful department.

We are looking for an enthusiastic Teacher of Biology to join our dynamic and successful department. All pupils study biology, chemistry and physics as separate subjects in Year 9. The depth of experience and expertise within our biology department means that we are equally as comfortable in develop

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European Molecular Biology Laboratory (EMBL-EBI) is launching a Digital Transformation Specialist role to drive EMBL-wide change programmes, with an initial focus on HR and expanding to Finance and Procurement.

The Laboratory of Molecular Biology (LMB), part of the Medical Research Council, invites applications for a tenure-track Group Leader to build and run an independent research programme in cell biology.

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A leading life sciences organisation in Cambridge is looking to appoint an experienced Head of Computational Biology to lead and develop its computational biology capability. This is an exciting opportunity for an established computational biology leader to take a strategic role in a highly collabor

EMBL-EBI, part of the European Molecular Biology Laboratory, is a worldwide leader in the storage, analysis and dissemination of large biological datasets.

This tenure-track Group Leader post sits in the Cell Biology Division of the Laboratory of Molecular Biology, part of the Medical Research Council. Develop and lead a research programme on fundamental cell or tissue biology, or on methods for studying them. Studying fundamental processes in molecula

Durham University invites applications for a Laboratory Technician to support Dr Jeongmin Choi's laboratory.The post is full-time, fixed-term for 2 years with an option to extend for 1 year.The role supports a friendly and vibrant team in a brand-new laboratory that prioritises wellbeing and a posit

You hold a PhD (or equivalent experience) in machine learning, computational biology, or structural biology, with a proven track record of applying machine learning to real-world protein structure or drug discovery challenges. Lead the technical strategy for machine learning applications in structur

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