Senior Data Scientist

• 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.

• Ability to exercise independent judgment in developing methods, techniques and evaluation criteria for obtaining results.

• Ability to explain difficult concepts and influence others.

• Must have excellent written and oral communication skills ;

• Ability to draw conclusions from new/novel research to create new solutions to critical new problems .

• Demonstrated expert knowledge of scientific principles and concepts for his/her discipline

• Solid background in statistics, machine learning, deep learning, and AI methodologies, including but not limited to linear and non-linear modeling, multivariate analysis, causal inference, network analysis, algorithm development, representation learning, foundation models, multimodal learning, and model interpretability.

• Experience applying foundation models, transfer learning, and modern AI approaches to large-scale biomedical, clinical, omics, imaging, and real-world datasets.

• Excellent statistical programming skills in Python and R

• Demonstrated experience of analyzing proteomics combined with other types of large-scale data (genomics, RWD, RNAseq and imaging)

• Significant experience working with preclinical or clinical study data

Education:

• Ph.D.

Experience:

• Typically 8+ years of relevant experience

Equivalency:

• Depending on area of assignment BA/BS or advanced degree with at least 12+ years of advanced experience may be considered.

Occupational Demands Form: Work is performed in an office environment with exposure to electrical office equipment. Frequently sits for 6-8 hours per day. Frequent hand movement of both hands with the ability to make fast, simple, movements of the fingers, hands, and wrists. Occasionally walks and stands. Occasionally bends and twists neck. Light to moderate lifting and carrying objects with a maximum lift of 25lbs. Frequently drives to site locations with occasional travel within the United States. Able to communicate information and ideas so others will understand; with the ability to listen to and understand information and ideas presented through spoken and written words and sentences. Interacts with others, relates sensitive information to diverse groups. Must work with diverse groups to obtain consensus on issues.

Would 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., The estimated pay scale for Senior Data Scientist role based in California, is $165,000 to $225,000 per year. Additionally, the position is eligible to participate in up to 20% of the company bonus pool. We offer a wide variety of benefits including, but not limited to: Medical, Dental, Vision, life insurance, PTO, paid holidays and up to 5% 401(K) match and tuition reimbursement. Final compensation packages will ultimately depend on education, experience, skillset, knowledge, where the role is performed, internal equity and market data. We are committed to offering our employees opportunities for professional growth and career progression. Grifols is a global healthcare organization with employees in 30 countries focused on patient health and providing impactful results. Since our humble beginnings in 1909, Grifols has been a family company that prides itself on its family-like culture. Our company has more than tripled over the last 10 years, and you can