Director, Pipeline Analytics

About the role

We're seeking a Director, Pipeline Analytics for the Commercial Effectiveness team at Insmed. Reporting to the Senior Director, Commercial Analytics, you'll lead the development of advanced analytics-driven insights that inform commercial strategies for pipeline assets. This role involves commercial analytics, leveraging real-world data and advanced modeling to shape patient journey insights, segmentation, targeting, and launch optimization.

Responsibilities

• Increase market opportunity assessments incorporating epidemiology, treatment flows, and payer dynamics to shape launch strategies.

• Conduct patient journey analysis (e.g., co-morbidities, diagnosis, treatment patterns, LOT Analyses, patient adherence) using APLD and real-world data to identify opportunities and barriers to adoption.

• Create 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, late-stage clinical outcomes 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.

• 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 (e.g., 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 (e.g., claims, EMR, patient-level), including patient journey and treatment flow analyses.
• Experience within the US market (experience with 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 (e.g., marketing data, sales, claims, access) in building models to answer key business questions.
• Excellent verbal and written communication skills.
• Highly organized with a strong attention to detail, clarity, accuracy, and conciseness.
• Proficient in Microsoft Office (Word, Excel, PowerPoint, Outlook).

Qualifications

• Master’s degree in data science, Health Economics, Statistics, Marketing Analytics, or related quantitative field.
• MBA, MS, or other advanced degree.
• Rare disease / specialty / respiratory experience.

Skills

• Knowledge of pharmaceutical data (e.g., 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 (e.g., claims, EMR, patient-level), including patient journey and treatment flow analyses.
• Experience within the US market (experience with 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 (e.g., marketing data, sales, claims, access) in building models to answer key business questions.
• Excellent verbal and written communication skills.
• Highly organized with a strong attention to detail, clarity, accuracy, and conciseness.
• Proficient in Microsoft Office (Word, Excel, PowerPoint, Outlook).

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