JUnit, Mockito, and Unix/Linux environments. Qualifications: A wealth of experience building business-critical applications in a full-stack manner. Strong understanding of computer science fundamentals, including algorithms, complexity, and data structures. Proven track record of managing and implementing successful projects. Ability to work under pressure and meet tight deadlines. Bachelor's degree/University degree or equivalent More ❯
continually seeking to find improvements. It is up to the leads build on that desire and passion. Opportunities to work on complex challenges, while using expertise in coding, algorithms, complexity/forensic analysis, technical architecture, and various system design strategies to address those challenges. Why Lloyds Banking Group Like the modern Britain we serve, we're evolving. More ❯
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 analysisof 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. … . More than 3 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 of data visualization, exploratory analysis, and predictive modeling. Excellent interpersonal and communication skills (verbal and writing). Ability to develop and deliver clear and concise presentations for both internal and external meetings in key decision-making situations. Why Novartis: Helping people with disease and their families takes more than innovative science. It More ❯
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 analysisof 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. … . More than 3 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 of data visualization, exploratory analysis, and predictive modeling. Excellent interpersonal and communication skills (verbal and writing). Ability to develop and deliver clear and concise presentations for both internal and external meetings in key decision-making situations. Why Novartis: Helping people with disease and their families takes more than innovative science. It More ❯
