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
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