Senior Data Scientist

Location: CA-San Carlos, US Contract Type: Regular Full-Time Area: R & DWould you like to join an international team working to improve the future of healthcare? Do you want to enhance the lives of millions of people? Grifols is a global healthcare company that since 1909 has been working to improve the health and well-being of people around the world. We are leaders in plasma-derived medicines and transfusion medicine and develop, produce and market innovative medicines, solutions and services in more than 110 countries and regions. Responsible for executing clinical biostatistics and machine learning projects to support Grifols stakeholders (ie. Alkahest Data Science, Alkahest Proteomics, Plasma R&D, Biosupplies). Leads and advises data analysis aspects of the setup, evaluation, and interpretation of longitudinal and high-dimensional omics and RWE datasets. Specializes in longitudinal multivariate data analysis, including but not limited to application of linear mixed models, dimensionality reduction, prediction modeling, survival analysis, causal inference, and modern AI methods, including foundation models and multimodal learning approaches applied to large-scale omics and real-world datasets. Primary responsibilities for role: Executes on cross-functional scientific design experiments/ projects that contribute to overall direction of department/ discipline Applies professional concepts to contribute to development of methods to resolve problems, ranging from identification of novel therapeutic targets to identification biomarkers for disease diagnosis, risk and progression prediction Ensure completeness, critical evaluation, correctness and integrity of datasets and analyses Executes the integrative analysis of both Alkahest and Grifols data sets, mainly through independent study, which are critical and have a high impact. Serve as one of the internal contacts for pre-clinical and clinical data science and biostatistics Contributes to the development and application of cutting-edge machine learning, deep learning, and AI technologies, including foundation models and multimodal approaches for biological, clinical, and real-world data. Creates cross-functional networks with peers and key decision makers and serves as internal spokesperson for the organization for his/her function Attends and participates in national and international scientific meetings May mentor other biostatisticians and data scientists to improve the quality and quantity of their work- primary role is an individual contributor This job description is intended to present the general content and requirements for the performance of this job. The description is not to be construed as an exhaustive statement of duties, responsibilities, or requirements. Managers and supervisors may assign other duties as needed.

Education: Ph.D.

Experience: Typically 8+ years of relevant experience