Director, Pipeline Analytics

About the role

We're seeking a Director, Pipeline Analytics to join our Commercial Effectiveness team. This role involves developing advanced analytics-driven insights to inform commercial strategies for pipeline assets. Key responsibilities include Go-to-Market & Launch Analytics, Patient Journey Analysis, Commercial Planning, and Cross-Functional Collaboration.

Responsibilities

• Lead the development of advanced analytics-driven insights that inform commercial strategies for pipeline assets.
• Build market opportunity assessments incorporating epidemiology, treatment flows, and payer dynamics to shape launch strategies.
• Lead patient journey analysis using APLD and real-world data to identify opportunities and barriers to adoption.
• Develop robust claims data-based patient and HCP market maps.
• Develop physician, institution, and patient segmentation models to guide targeting strategies.
• Collaborate with clinical and forecasting teams to translate patient journey insights into robust commercial forecasts with scenario planning focused on market access, competitive landscape, and uptake models.
• Integrate payer landscape analyses into GTM scenarios to anticipate access hurdles and contracting impacts.
• Partner with Field Strategy & Operations to align targeting/segmentation outputs with field force sizing, structure, call plans.
• Apply advanced analytics techniques and drive innovative use of APLD, claims, EMR, and patient-level datasets to strengthen commercial insights.
• Possess deep expertise with APLD and real-world data, including patient journey and treatment flow analyses.
• Partner with Marketing to shape product positioning strategies based on analytics-driven insights.
• Serve as the analytics subject matter expert in cross-functional teams and governance bodies.

Requirements

• Bachelor’s degree with 7+ years of commercial experience in pharma/biotech.
• Extensive knowledge of pharmaceutical data (sales, specialty pharmacy, payer, promotional & marketing data, longitudinal patient-level data).
• Experience with commercialization of pharmaceutical products.
• Strong blend of technical proficiency, business acumen, and experience informing business decisions with data.
• Deep expertise with APLD and real-world data, including patient journey and treatment flow analyses.
• Experience within the US market (global markets beneficial).
• Excellent communication skills and ability to influence without authority.
• Solid understanding and expertise in conducting analyses with the goal of garnering actionable insights.
• Proficient in working with distributed teams in a matrix environment, as well as the ability to work autonomously.
• Technical proficiency in analytics tools (SQL, Python, R, SAS, or similar platforms).
• Ability to utilize different data sets (marketing data, sales, claims, access) in building models to answer key business questions.
• Proficient in Microsoft Office (Word, Excel, PowerPoint, Outlook).

Qualifications

• Extensive knowledge of pharmaceutical data (sales, specialty pharmacy, payer, promotional & marketing data, longitudinal patient-level data).
• Experience with commercialization of pharmaceutical products.
• Strong blend of technical proficiency, business acumen, and experience informing business decisions with data.
• Deep expertise with APLD and real-world data, including patient journey and treatment flow analyses.
• Experience within the US market (global markets beneficial).
• Excellent communication skills and ability to influence without authority.
• Solid understanding and expertise in conducting analyses with the goal of garnering actionable insights.
• Proficient in working with distributed teams in a matrix environment, as well as the ability to work autonomously.
• Technical proficiency in analytics tools (SQL, Python, R, SAS, or similar platforms).
• Ability to utilize different data sets (marketing data, sales, claims, access) in building models to answer key business questions.
• Proficient in Microsoft Office (Word, Excel, PowerPoint, Outlook).

Skills

• Data science, Health Economics, Statistics, Marketing Analytics, or related quantitative fields.
• MBA, MS or other advanced degrees.
• Rare disease / specialty / respiratory experience.

Benefits

Comprehensive medical, dental, and vision coverage and mental health support, annual wellbeing reimbursement, and access to our Employee Assistance Program (EAP). Generous paid time off policies, fertility and family-forming benefits, caregiver support, and flexible work schedules with purposeful in-person collaboration. 401(k) plan with a competitive company match, annual equity awards, and participation in our Employee Stock Purchase Plan (ESPP), and company-paid life and disability insurance. Employee resource groups, service and recognition programs, and meaningful opportunities to connect, volunteer, and give back.

Pay

$177,000.00 - $242,000.00 Annual

Schedule

Full-time, Remote

Location

Remote