17 of 17 Biostatistics Jobs in London

functional partners in research, regulatory, clinical and commercial teams on the biomarker and/or AI strategy, execution, and delivery of assigned projects. Your Experience Ph.D. in data science, biostatistics, pharmacology, bioinformatics, mathematics, or other quantitative field (or equivalent). More than 3 years experience in pre-clinical and clinical drug development with extensive exposure to clinical trials. Clinical, pharmacological More ❯

functional partners in research, regulatory, clinical and commercial teams on the biomarker and/or AI strategy, execution, and delivery of assigned projects. Your Experience Ph.D. in data science, biostatistics, pharmacology, bioinformatics, mathematics, or other quantitative field (or equivalent). More than 3 years experience in pre-clinical and clinical drug development with extensive exposure to clinical trials. Clinical, pharmacological More ❯

from clinical trials and the real world to generate fit-for-purpose evidence that is applied to decision making in drug development programs. Your Experience Ph.D. in data science, biostatistics, or other quantitative field (or equivalent). More than 3 years experience in clinical drug development with extensive exposure to clinical trials. Strong knowledge and understanding of statistical methods such More ❯

within the team, collaborating on tasks and projects to ensure deadlines are met. MSc or PhD in Computer Science/Engineering, Data Sciences, Artificial Intelligence/Machine learning, Bioinformatics, Biostatistics or any other computational quantitative science Minimum of 2-5 years of developing technical solutions for automation or AI. Prior exposure to work in life sciences or drug development is More ❯

from clinical trials and the real world to generate fit-for-purpose evidence that is applied to decision making in drug development programs. Your Experience Ph.D. in data science, biostatistics, or other quantitative field (or equivalent). Working experience in clinical drug development with extensive exposure to clinical trials. Strong knowledge and understanding of statistical methods such as time to More ❯

from clinical trials and the real world to generate fit-for-purpose evidence that is applied to decision making in drug development programs. Your Experience Ph.D. in data science, biostatistics, or other quantitative field (or equivalent). Working experience in clinical drug development with extensive exposure to clinical trials. Strong knowledge and understanding of statistical methods such as time to More ❯

responsible for all statistical programming aspects of a large/pivotal study, several studies or project-level activities (incl. submission activities). The position is a key collaborator with biostatistics in ensuring that pharmaceutical drug-development plans are executed efficiently with timely and high-quality deliverables in Novartis Global Drug Development. Key Accountabilities: Lead statistical programming activities as Trial Programmer More ❯

external big data sets into clinical operations decision-making. Build and manage a high-performing team of analysts, fostering collaboration and innovation. Collaborate with senior stakeholders across Clinical Operations, Biostatistics, and other tech programs to ensure alignment of data models. Serve as a core member of the Development Analytics Platform Leadership Team (DAP LT). Influence governance and investment decisions More ❯

cross-functional teams, including Safety, Regulatory Affairs, Categories and Business Units to ensure data requirements are aligned with strategic needs Your skills and experience: MSc or PhD in Epidemiology, Biostatistics, Health Data Science, or related disciplines Demonstrable experience working with public health or healthcare datasets Experience or good understanding of the use of social media data for RWE generation Strong More ❯

regulatory discussions. Perform hands-on analysis of integrated clinical trial and real-world data to generate evidence supporting decision-making in drug development. Your Experience Ph.D. in data science, biostatistics, or a related quantitative field (or equivalent). Experience in clinical drug development, especially clinical trials. Strong knowledge of statistical methods such as time-to-event analysis, machine learning, meta More ❯

adapt accordingly to the AI solutions. Cross-functions high adaptability to meet cross organization goals. Required/Preferred Education Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field 7 – 10 years of related professional experience, with 3+ years of experience applying AI/ML techniques to healthcare or clinical research data. Experience in healthcare/ More ❯

adapt accordingly to the AI solutions. Cross-functions high adaptability to meet cross organization goals. Required/Preferred Education Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field 7 – 10 years of related professional experience, with 3+ years of experience applying AI/ML techniques to healthcare or clinical research data. Experience in healthcare/ More ❯

adapt accordingly to the AI solutions. Cross-functions high adaptability to meet cross organization goals. Required/Preferred Education Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field 7 – 10 years of related professional experience, with 3+ years of experience applying AI/ML techniques to healthcare or clinical research data. Experience in healthcare/ More ❯

adapt accordingly to the AI solutions. Cross-functions high adaptability to meet cross organization goals. Required/Preferred Education Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field 7 – 10 years of related professional experience, with 3+ years of experience applying AI/ML techniques to healthcare or clinical research data. Experience in healthcare/ More ❯

cloud-based platforms and services, in particular AWS. Familiarity with code version control and MLOps deployment approaches. Minimum Requirements Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field 3 - 5 years of related professional experience, with 1+ years of experience applying AI/ML techniques to healthcare or clinical research data. Experience in healthcare/ More ❯

internal decisions and contribute to white papers/regulatory discussions. Analyze clinical trial and real-world data to generate evidence for drug development. Your Experience Ph.D. in data science, biostatistics, or related field. Over 3 years of experience in clinical drug development and clinical trials. Strong knowledge of statistical methods and programming in R and Python. Excellent communication skills and More ❯

cloud-based platforms and services, in particular AWS. Familiarity with code version control and MLOps deployment approaches. Minimum Requirements Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field 3 5 years of related professional experience, with 1+ years of experience applying AI/ML techniques to healthcare or clinical research data. Experience in healthcare/ More ❯