Senior Data Scientist

Senior Data Scientist with a Master’s degree in Data Science, Analytics, Business Analytics, Computer Science, Engineering, or a related field, with 4 years of experience in life science, pharma, biotech, technology companies or regulated industries. Collaborate with cross-functional teams, perform end-to-end data processing, develop advanced analytical solutions, implement version control practices, design data visualization solutions, and present data-driven insights.

Requirements

• Master’s degree in Data Science, Analytics, Business Analytics, Computer Science, Engineering, or related field
• 4 years of data and analytics experience in life science, pharma, biotech, technology companies or relevant regulated industries
• Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions
• Perform end-to-end data processing including extraction, cleaning, transformation, and analysis using SQL queries across multiple database systems
• Develop advanced analytical solutions leveraging Python, R, and other programming languages to support data-driven decision making
• Implement version control practices using Git to manage code repositories and leverage cloud computing infrastructure like AWS
• Design and implement data visualization solutions using tools like Tableau, Power BI, or similar platforms and enable self-service analytics
• Present data-driven insights and recommendations to senior leadership and key stakeholders

Benefits

• U.S. based employees may be eligible for short-term and/or long-term incentives
• U.S. based employees may be eligible to participate in medical, dental, vision insurance
• 401(k) plan and company match
• Short-term and long-term disability coverage
• Basic life insurance
• Tuition reimbursement program
• Paid volunteer time off
• Company holidays
• Well-being benefits
• Up to 80 hours of sick time
• Up to 120 hours of paid vacation

Tagged as: Data Analysis, Python