Director, Data Science & Commercial Analytics

About Cristcot

We are in the business of addressing the problem within the problem. We focus on the details and connections that other, major pharma companies have left ignored for years. There are better ways, better drugs and better formulations and we will make them a reality by analyzing, understanding and solving the problems within the problems.

Job Summary

Cristcot is seeking a strategic and hands-on data science and analytics leader to build and lead the data and analytics function for a growing biotech organization preparing to launch a hydrocortisone acetate therapy for ulcerative colitis.

Primary Relationships

• Within Cristcot, the Director, Data Science & Commercial Analytics will collaborate closely with Sales, Commercial Operations, Marketing, Market Access, Medical Affairs, and the Executive Team.
• Outside Cristcot, the Director, Data Science & Commercial Analytics will engage with external vendors.

Primary Job Responsibilities

The Director, Data Science & Commercial Analytics will be responsible for standing up the end-to-end data and technology environment, enabling commercial insights, and driving data-informed decision-making across the organization.

The activities of the Director, Data Science & Commercial Analytics will include, but are not limited to:

Build the Data & Technology Ecosystem

• Design, develop and implement the company’s data architecture from the ground up (data ingestion, storage, transformation, and access layers)
• Evaluate and select appropriate tools and platforms (e.g., data warehouses, ETL pipelines, BI tools, CRM integrations)
• Establish scalable, compliant, and secure data infrastructure aligned with biotech/pharma regulations (HIPAA, GDPR where applicable)
• Define data governance frameworks, including data quality, stewardship, and access controls

Commercial Data Strategy & Enablement

• Identify, acquire, and integrate critical data sources to support commercial operations, including:
• • Patient claims (medical & pharmacy)
  • Prescription (Rx) data
  • Electronic health records (EHR)
  • Provider-level data
  • Specialty pharmacy and hub services data
  • Payer and formulary data
• Translate commercial strategy into data requirements and analytics solutions
• Build datasets and data models tailored to key business questions (e.g., patient journey, targeting, segmentation)

Analytics & Insights Generation

• Develop and lead analytics to support:
• • Launch planning and performance tracking
  • Sales force effectiveness and targeting
  • Patient identification and adherence patterns
  • Market access and payer strategy
• Create dashboards, KPIs, and reporting frameworks for executive and commercial stakeholders
• Apply advanced analytics (predictive modeling, segmentation, forecasting) to inform decision-making

Cross-Functional Partnership

• Act as a strategic partner to Commercial leadership to align analytics with brand objectives
• Collaborate with IT, Medical Affairs, Market Access, and Finance to ensure integrated data use
• Translate complex data insights into actionable business recommendations

Leadership & Execution

• Manage external vendors (data providers, analytics partners, consultants)
• Operate both as a strategic leader and a hands-on contributor in a fast-paced environment

Skills and Qualifications:

• Advanced degree preferred (Master’s or Ph.D.), but no less than Bachelor’s degree in data science, business, psychology, statistics, economics, mathematics, life sciences, computer science, or a related field that requires data analytics skill
• 8–12+ years of experience in data science, analytics, or commercial data roles within biotech/pharma