Analytics CoE Senior Manager

Scorpion Therapeutics; Boston (MA); On-site; USD 120,000 - 160,000; Full time

Job summary

Scorpion Therapeutics is seeking an experienced HEOR/Data Analytics professional to drive real-world evidence studies across therapeutic areas. You will leverage in-licensed data assets, analyze large datasets, and generate insights for portfolio strategies.

The role requires advanced health economics expertise, SAS proficiency, and strong communication. You will partner with cross-functional teams to advance research objectives and maintain internal analytic tools.

Qualifications

• Advanced degree in health economics or related discipline.
• Typically 6 years of relevant health economics/ORE experience.
• Knowledge of observational research methods for disease burden and outcomes.
• Experience with large patient-level healthcare datasets (claims, EHR).
• Familiarity with national healthcare coding systems.
• Strong SAS programming and Excel skills.
• Excellent written and oral communication.
• Ability to manage multiple projects across therapeutic areas.

Responsibilities

• Leverage data assets to conduct queries and analyses for Vertex product portfolio and development programs.
• Conduct feasibility assessments to inform study design.
• Characterize disease burden and treatment patterns in real-world populations.
• Generate actionable insights for internal/external stakeholders.
• Lead development of study protocols and analysis plans.
• Support statistical programmers with data queries and analyses.
• Create analytic reports, tables, and visualizations for stakeholders.
• Collaborate cross-functionally to improve analytics operating model.
• Develop/enhance internal analytic tools and templates.
• Support HEOR leads in identifying research gaps and objectives.

Skills

SAS programming

Excel

Statistical analysis

RWE analysis

Communication skills

Project management

Health economics

Observational methods

Education

Health economics degree

PhD + 2 yrs

MS + 4 yrs

Job description

Key Responsibilities:

• Leverage Vertex's in-licensed RWE data assets to conduct queries and analyses supporting the Vertex product portfolio and development programs across therapeutic and disease areas.


• Conduct feasibility assessments to inform design/execution of research projects.


• Conduct health economic and outcomes research to characterize disease burden, healthcare resource utilization, co-morbidities, and treatment patterns in real-world populations.


• Generate actionable insights to address key business questions from internal and external stakeholders.


• Lead development of study protocols, statistical analysis plans, and table shells.


• Support statistical programmers by executing data queries and analyses.


• Generate analytic reports, tables, and visualizations to communicate findings to internal stakeholders.


• Collaborate with cross-functional colleagues to improve the analytics operating model.


• Develop/enhance/maintain internal analytic tools (e.g., programming libraries, reusable macros, table templates).


• Support HEOR disease/asset leads in assessing research gaps and evidence generation objectives.

Qualifications:

• Advanced degree in health economics or related discipline (math, statistics, economics, epidemiology).


• Typically 6 years of relevant experience in health economics and outcomes research (or equivalent: Doctorate + 2 years; Master’s + 4 years).


• Knowledge of observational research methods for studies of disease burden, resource utilization, treatment patterns, comorbidities, and outcomes.


• Hands-on experience analyzing large patient-level healthcare datasets (open/closed claims, EHR/EMR, hospital chargemaster; e.g., MarketScan, PharMetrics Plus, eLAAD+, Premier).


• Working knowledge of national healthcare coding systems (diagnostic, procedure, drug) and healthcare system structures.


• Advanced proficiency in SAS programming and Excel required.


• Excellent written and oral communication skills.


• Ability to plan, organize, and manage multiple projects across therapeutic areas.