Senior Data Scientist - End-to-End ML for Biotech

dawarconsulting; South San Francisco (CA); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Medical

Paid Sick Leave

401 (k)

Job summary

Our client, a world leader in biotechnology and life sciences, seeks a Senior Data Scientist to develop, deploy, and industrialize machine learning solutions across Commercial and Medical domains. You will partner with business and technical teams to translate complex challenges into data-driven outcomes while ensuring data quality, governance, model validation, and regulatory compliance.

The role emphasizes end-to-end ML development, cloud experience, and collaboration with cross-functional

Qualifications

• Bachelor's degree in a quantitative field.
• 5+ years in Data Science or related roles.
• Experience with Python and/or R.
• Strong SQL skills.
• ML/DL techniques including classification, regression, forecasting.
• End-to-end ML solutions from prototyping to deployment and monitoring.
• Cloud platforms such as AWS or GCP.
• MLOps incl. CI/CD, model versioning, monitoring, scalability.

Responsibilities

• Develop, deploy, and industrialize ML solutions across Commercial and Medical domains.
• Partner with business and technical teams to translate challenges into data-driven solutions.
• Ensure data quality, governance, model validation, and regulatory compliance.
• Collaborate with Data Science Product Owners, Data Leads, ML Engineers, and MLOps teams.

Skills

Python/R

SQL

ML/DL techniques

End-to-end ML deployment

Cloud: AWS/GCP

MLOps CI/CD

Data governance & compliance

Cross-functional collaboration

Education

Bachelor's degree in Statistics, Mathematics, Computer Science, or related quantitative field

Tools

TensorFlow

PyTorch

Hadoop

Spark

Tableau

Data Studio

Job description

Our client, a world leader in biotechnology and life sciences, seeks a Senior Data Scientist to develop, deploy, and industrialize machine learning solutions across Commercial and Medical domains. You will partner with business and technical teams to translate complex challenges into data-driven outcomes while ensuring data quality, governance, model validation, and regulatory compliance.

The role emphasizes end-to-end ML development, cloud experience, and collaboration with cross-functional