Director, Data Science & Commercial Analytics

Cristcot

12d

About The Position

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

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)
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

Nice To Haves

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
Priority consideration will be given to applicants who reside within the Central and Eastern time zones
Ability to travel up to 10%

Responsibilities

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
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, and 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