Director, Data Science – Commercial Analytics
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Job Description
Director of Data Science and Commercial Analytics at Cristcot, leading data functions for a biotech focused on ulcerative colitis therapy. Collaborating with cross-functional teams to drive data-informed decision-making.
Responsibilities:
- 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
- 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)
- 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
- 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
- Manage external vendors (data providers, analytics partners, consultants)
- Operate both as a strategic leader and a hands-on contributor in a fast-paced environment
Requirements:
- 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
- Proven experience building data infrastructure and analytics capabilities from scratch
- Deep understanding of healthcare data ecosystems (claims, Rx, EHR, specialty pharmacy, etc.)
- Experience supporting commercial launches, preferably in specialty or GI therapeutics
- Strong proficiency in SQL, Python/R, and BI tools (e.g., Tableau, Power BI)
- Experience with cloud-based data platforms (e.g., AWS, Azure, GCP)
- Experience in ulcerative colitis, gastroenterology, or specialty therapeutics preferred
- Knowledge of patient journey analytics and rare/specialty disease commercialization preferred
- Experience working in pre-commercial or early-launch biotech environments preferred
- Strategic thinking with strong execution capabilities
- Ability to translate business needs into data solutions
- Strong communication skills with both technical and non-technical stakeholders
- Entrepreneurial mindset; comfortable with ambiguity and building from zero
- High level of ownership and accountability
Benefits:
- Ability to travel up to 10%
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