Senior Manager, Data Science & Advanced Analytics

Ladders; United States; Remote; USD 170,000 - 190,000; Full time

Benefits offered by this job

Health benefits

401K plan

Employee stock purchase plan

Flexible work schedules

Training & Education Assistance

Bonus referral program

Recognition program

Paid time off

Job summary

Ladders is seeking a Senior Manager, Data Science & Advanced Analytics to lead a team delivering AI-driven solutions supporting commercial and enterprise priorities. Remote role with cross-functional impact and the ability to influence decision-making through data-driven insights.

The ideal candidate translates complex business needs into analytical products, provides technical modeling direction, and helps shape the move to self-service analytics in a pharmaceutical/biotech context.

Qualifications

• Bachelor's degree in a quantitative field is required
• 7+ years of experience in data science and advanced analytics
• 3+ years of people leadership experience in a technical environment
• Strong Python or R skills with SQL knowledge
• Experience with statistical modeling and ML methods
• Ability to translate business questions into analytical products
• Experience building self-service analytics and transition plans

Responsibilities

• Lead and develop a team of data scientists and analysts
• Manage the day-to-day portfolio across commercial and enterprise stakeholders
• Identify high-value opportunities for advanced analytics and AI
• Translate business questions into actionable analytical products
• Provide technical guidance on analytical design and model selection
• Drive the transition to self-service analytics solutions
• Communicate insights effectively to diverse audiences

Skills

Python

R

SQL

Machine Learning

Leadership

Communication

Self-service analytics

Education

Bachelor's degree in a quantitative field

Advanced degree preferred

Job description

For our client, we are seeking a Senior Manager, Data Science & Advanced Analytics to join the team of a leader in the Pharmaceuticals & Biotech space.

This role will lead a team of data scientists and analysts focused on delivering advanced analytics and AI-driven solutions that support commercial and enterprise priorities. The ideal candidate will translate complex business needs into actionable analytical products, provide technical direction on modeling approaches, and help shape the transition to self-service analytics. This is a highly cross-functional position with broad visibility and the opportunity to influence decision-making through clear, data-driven insights.

Location: Remote

Compensation: $170,000 – $190,000 annually

Responsibilities

• Lead and develop a team of data scientists and analysts
• Manage the day-to-day portfolio across commercial and enterprise stakeholders
• Identify high-value opportunities for advanced analytics and AI
• Translate business questions into actionable analytical products
• Provide technical guidance on analytical design and model selection
• Drive the transition to self-service analytics solutions
• Ensure insights are communicated effectively to diverse audiences

Qualifications

• Bachelor's degree in a quantitative field; advanced degree preferred
• 7+ years of experience in data science and advanced analytics
• 3+ years of people leadership experience in a technical environment
• Expertise in Python or R, with strong SQL knowledge
• Experience in statistical modeling and machine learning methods
• Ability to communicate complex analyses to non-technical audiences
• Experience in developing self-service analytics and transition plans

Benefits

• Health benefits – Medical, Dental, Vision
• Personal and Vacation Time
• Retirement & Savings Plan (401K)
• Employee Stock Purchase Plan
• Training & Education Assistance
• Bonus Referral Program
• Service Awards
• Employee Recognition Program
• Flexible Work Schedules

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.