Senior Data Scientist

REQUIREMENTS: Master's degree in Data Science, Analytics, Business Analytics, Computer Science, Engineering, or related field plus 4 years of related experience. Prior experience must include: 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.

Full time. $162,000 to $260,000 per year.

The estimated salary range reflects an anticipated range for this position. The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location.

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, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation.