Senior Data Scientist: Biomedical AI & Omics

Grifols; San Carlos (CA); On-site; USD 165,000 - 225,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

PTO

Holidays

401(k) match

Tuition reimbursement

Job summary

Grifols in California seeks a Senior Data Scientist to lead clinical biostatistics and advanced machine learning projects across omics and real-world datasets. You will design, execute, and interpret analyses that influence therapeutic targets, biomarkers, and disease progression predictions.

The role emphasizes longitudinal, high-dimensional data, foundation models, and multimodal learning with opportunities to mentor peers and present at scientific meetings.

Qualifications

• Ph.D. in a relevant field with strong statistical and data-science background.
• Expert knowledge of statistics, machine learning, deep learning, and AI methodologies.
• Experience applying foundation models and multimodal learning to large-scale biomedical data.

Responsibilities

• Execute cross-functional biostatistics and ML projects impacting multiple Grifols groups.
• Develop methods to identify biomarkers and predict disease progression.
• Ensure data integrity and quality across datasets and analyses.
• Lead integrative analyses of Alkahest and Grifols datasets and mentor colleagues.

Skills

Python

R

Statistics

Machine learning

Data science

Biostatistics

Education

Ph.D.

Tools

Python

R

SQL

Job description

Grifols in California seeks a Senior Data Scientist to lead clinical biostatistics and advanced machine learning projects across omics and real-world datasets. You will design, execute, and interpret analyses that influence therapeutic targets, biomarkers, and disease progression predictions.

The role emphasizes longitudinal, high-dimensional data, foundation models, and multimodal learning with opportunities to mentor peers and present at scientific meetings.