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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

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.

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.

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.

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

Science Teacher (Biology Specialist) – Job Highlights Science Teacher (Biology Specialist) role – suitable for ECTs and experienced teachers Salary: £40,317 – £62,496 (Inner London) Permanent, full-time position starting October Teaching Science across KS3 and KS4, with a Biology specialis

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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

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

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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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Ideally 3+ years in fermentation process and extraction techniques and/or vector construction/molecular biology. Familiarity with modern lab equipment and digital tools relevant to synthetic biology and fermentation; English is the working language; additional languages are a plus. Synthetic Biology

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A leading biotechnology recruitment firm seeks a Synthetic Biology/Fermentation R&D Scientist for an innovative company near Shanghai, China.

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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

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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.

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

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.

Seeking an hourly paid lecturer for GCSE and Access Biology evening classes.

Seeking a Head of Biology with KS5 experience for a secondary school in Kingston. Responsibilities include teaching KS5 Biology and guiding the curriculum alongside the Director of Science.

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