Data Scientist in Drug Development - Remote

Overview

This position involves joining a cutting-edge Drug Development Data Science and Biomarker team to enhance global drug development through advanced data analysis and modeling.

In Short

• Develop and apply computational methods for patient segmentation.
• Collaborate with statisticians on protocols and analysis plans.
• Execute biomarker analyses on clinical trial datasets.
• Perform innovative statistical analyses on high-dimensional data.
• Contribute to the scientific strategy of drug development.
• Optimize biomarker assays for clinical trials.
• Implement state-of-the-art algorithms for business problems.
• Collaborate with cross-functional teams.
• Manage resources to meet project timelines.

Requirements

• Ph.D. or Master’s in a quantitative field with relevant experience.
• Experience in analysis of -omics or molecular assay data.
• Knowledge of molecular biology and disease pathways.
• Experience in biomarker data analysis from clinical trials.
• Proficiency in AI/ML, SQL, Python, and R.
• Experience with statistical and machine learning models.
• Ability to work independently and collaboratively.
• Strong problem-solving and communication skills.

Benefits

• Comprehensive medical, dental, and vision care.
• Wellbeing support programs.
• Financial well-being resources and a 401(K).
• Financial protection benefits including disability and life insurance.
• Generous vacation and leave policies.
• Family care services and tuition reimbursement.