Senior Data Scientist

Grifols Shared Services North America, Inc; San Carlos (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

Grifols Shared Services North America, Inc. seeks a senior biostatistician/data scientist to lead biostatistics and machine learning projects across Alkahest data science, Alkahest Proteomics, Plasma R&D, and Biosupplies.

The role centers on longitudinal multivariate analyses, causal inference, and modern AI methods applied to large biomedical datasets. The candidate will collaborate with international teams, mentor junior scientists, and help translate complex data into actionable insights for

Qualifications

• Ph.D. required in biostatistics, statistics, bioinformatics, or a related field.
• Strong programming in Python and R with experience in ML and AI methods.
• Extensive experience with longitudinal and high-dimensional data analyses.
• Experience with preclinical or clinical study data.
• 8+ years of relevant experience.

Responsibilities

• Execute cross-functional experimental designs contributing to department direction.
• Apply methods to identify biomarkers and disease targets.
• Ensure data completeness, accuracy, and integrity of analyses.
• Perform integrative analyses of multiple Grifols datasets.
• Mentor other biostatisticians and data scientists as needed.
• Contribute to development of cutting-edge ML and AI technologies.

Skills

Python

R

Statistics

Machine Learning

Biostatistics

Omics

Data Science

Communication

Education

Ph.D.

Job description

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.

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.

Additional Responsibilities

• Demonstrates autonomy in selecting methods, techniques, and evaluation criteria for obtaining results
• Achieves measurable accomplishments that advances the scientific and/or technical field
• Authorship of abstracts, posters and peer-reviewed papers
• Regular contributor to scientific literature and beginning to gain recognition externally
• Monitors and evaluates completion of tasks and projects

Knowledge, Skills, and Abilities

• 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

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.

The estimated pay scale for Senior