Cristcot

Director, Data Science – Commercial Analytics

Cristcot

full-time

Posted on:

Location Type: Remote

Location: United States

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Job Level

Lead

Tech Stack

AWSAzureCloudETLGoogle Cloud PlatformPythonSQLTableau

About the role

  • 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%
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data architecturedata ingestiondata storagedata transformationdata access layerspredictive modelingsegmentationforecastingSQLPython
Soft Skills
strategic thinkingexecution capabilitiescommunication skillsentrepreneurial mindsetownershipaccountability