2 of 2 Remote Exploratory Analysis Jobs

to clinical development programs of low to mid complexity, based on relevant technical and disease area knowledge. You will contribute to planning, execution, interpretation, validation and communication of innovative exploratory biomarker and/or AI analyses and algorithms, to facilitate internal decision making, support submissions of candidate drug and research collaborations. You will provide technical expertise in data science …/AI as well as domain knowledge in biology and/or medicine to identify opportunities for influencing internal decision making and research collaborations. You will perform hands-on analysis of integrated clinical, imaging, digital, fluid biomarkers outcomes and high-dimensional, patient-level biomarker data from clinical trials and the real world to generate fit-for-purpose evidence that … principles and basic familiarity working with clinical data in a clinical trial (GxP) setting. Strong knowledge and understanding of (multivariate implementations of) statistical methods such as time to event analysis, machine learning, meta-analysis, mixed effect modelling, longitudinal modelling, Bayesian methods, variable selection methods (e.g., lasso, elastic net, random forest), design of clinical trials. Familiarity with statistical and More ❯

working, requiring 3 days per week or 12 days per month in our London Office. Key Accountabilities: You will contribute to planning, execution, interpretation, validation and communication of innovative exploratory analyses and algorithms, to facilitate internal decision making. You will provide technical expertise in data science and (predictive) machine learning/AI to identify opportunities for influencing internal decision … making as well as discussions on white papers/regulatory policy. You will perform hands-on analysis of integrated data 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 … years experience in clinical drug development with extensive exposure to clinical trials. Strong knowledge and understanding of statistical methods such as time to event analysis, machine learning, meta-analysis, mixed effect modeling, longitudinal modeling, Bayesian methods, variable selection methods (e.g., lasso, elastic net, random forest), design of clinical trials. Strong programming skills in R and Python. Demonstrated knowledge More ❯