Job Description General Summary: The Senior Biostatistician II will perform scientific statistical analyses in support of the companys Global Medicines Development and Affairs area with guidance and mentoring on new and complex issues. The incumbent will
Job Description Vertex is seeking a talented and motivated individual with the desire to be part of a highly innovative company aimed at transforming the lives of people with serious diseases, their families and society. The
Job Description General Summary: The Director, Biostatistics will independently perform highly scientific statistical functions in support of the company’s Global Medicines Development and Affairs (GMDA) area on new and complex issues. The incumbent will complete work
Position: Research Assistant II Department: Research - GIM Location: Boston, MA Schedule: 20 hours per week, Hybrid POSITION SUMMARY: The Research Assistant II will coordinate and implement subject recruitment, enrollment, follow-up, data collection, and study conduct.
JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are
Job Description General Summary: The Quality Analytics Manager utilizes data analysis skills and tools to evaluate Vertex operations, processes, and systems and recommends strategic process improvements based on research findings. This role is a key contributor
Job Description General Summary: The Senior Biostatistician II will perform scientific statistical analyses in support of the companys Global Medicines Development and Affairs area with guidance and mentoring on new and complex issues. The incumbent will
Description of Role The Associate Director, Statistical Programming will provide strategic and technical leadership for statistical programming activities across one or more therapeutic areas. This role will establish and maintain statistical reporting standards, drive efficient and
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side