Data Scientist

📋 Description

• Compile, clean and feature engineer laboratory and commercial data for digital twin process models.
• Partner with Digital org to deliver end-to-end data pipelines, products, and models.
• Demonstrate scientific initiative and creativity in research or development.
• Autonomous and productive in performing laboratory research or method development.
• Formulate conclusions and design follow-on experiments based on multidisciplinary data.
• May initiate new areas of investigation and author publications or patents.

🎯 Requirements

• BS + 10 yrs, MS + 8 yrs, or PhD in relevant scientific discipline.
• Prior experience in biotech or pharmaceuticals.
• Strong programming skills in Python, SQL.
• Experience with cloud-based data lake infrastructure.
• Experience with data pipeline tools: KNime, dbt.
• Familiarity with MLflow, DataBricks, and lab systems.

🎁 Benefits

• Paid time off (vacation, holidays, sick).
• Medical/dental/vision insurance.
• 401(k) retirement plan.
• Short-term incentive programs.