Lead Data Scientist, Data Integrity

Overview

Role focused on ensuring research data integrity through fraud detection and prevention strategies.

Ideal candidate should have a Master's or PhD in a relevant field and experience with statistical methods and large datasets.

Locations

• United States

Requirements

• Master's or PhD in relevant field
• Experience with statistical methods
• Proficiency in Python and/or R
• Ability to write clean code

Responsibilities

• Develop statistical models to detect research fraud
• Lead investigations into research fraud
• Convey complex information to stakeholders
• Author reports and presentations
• Coordinate with senior stakeholders
• Collaborate with data science team

Benefits

• Paid vacation
• Flexible working arrangement
• Group medical, dental and vision insurance
• Company-paid life and disability insurance
• Paid parental leave
• 401(k) with company match