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# Director, Data Science

- **Company:** CareerCircle
- **Location:** San Francisco, CA, United States
- **Salary:** $190,800.0 - $300,300.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Access, Artificial Intelligence, Data Analysis, Big Data, Catalyst (Software), Clinical Data Management, Computer Programming, Data Architecture, Information Engineering, Data Governance, Data Integration, Data Transformation, Data Visualization, Database Design, Database Theory, Decision Support Systems, R (Programming Language), Interoperability, Python (Programming Language), Machine Learning, Metadata, RStudio, Power BI, SAS (Software), Software Engineering, SQL Databases, Tableau (Software), Feature Engineering, Electronic Medical Records, Generative AI, Data Strategy, Information Technology, Data Analytics, Performance Monitor, Data Management, Tools for Reporting, Spotfire, GXP, Databricks, Programming Languages
- **Published:** September 26, 2026
- **Apply:** https://www.careercircle.com/jobs/all/all/usa/pa/north-wales/d4b651ef-019d-4da1-afcb-33a5265d286d

## About the Role

Power BI
Metadata
Dashboard
Operations
Leadership
Management
Automation
Governance
Innovation
Resilience
Statistics
Compassion
Databricks
Scalability
Data Science
Adaptability
Data Analysis
Data Modeling
Collaboration
Data Strategy
Data Literacy
Accountability
Time Management
Real World Data
Database Design
Computer Science
Data Integration
Machine Learning
Telephone Skills
Interoperability
Project Management
Influencing Skills
Strategic Planning
Data Visualization, Organizational Skills
Emerging Technologies
Operational Efficiency
Capability Development
Artificial Intelligence
Clinical Data Management
R (Programming Language)
Organizational Leadership
SQL (Programming Language)
Python (Programming Language)
Continuous Improvement Process
Cross-Functional Collaboration
Organizational Change Management
Key Performance Indicators (KPIs)
Spotfire (Data Analytics Software), * Expert knowledge of analytics governance frameworks, successful data strategy implementation, and cross-functional data integration techniques.

 * Expert knowledge in advanced data analytics, automation, and AI/ML evaluation applied to clinical and digital health data.
 * Expert experience in designing and overseeing automated analytics pipelines, data architectures, and metadata-driven workflows.
 * Expert command of programming languages and analytics tools (e.g., Python, R, SQL) as well as data visualization and monitoring platforms (e.g., Power BI, Tableau, Spotfire).
 * Expert knowledge of clinical and real-world data standards (e.g., CDISC, SDTM) and of regulatory compliance requirements (e.g., GxP, 21 CFR Part 11).
 * Expert experience driving enterprise-scale data transformation initiatives and enabling scalable, technology-driven analytics ecosystems.

Non-technical skills

 * Ability to distill complex issues into decision-ready narratives; frames options, risks, and recommendations to influence senior decisions.
 * Strong proficiency in driving adoption of standardized methods/ways of working; mobilizes cross-functional champions and measures uptake.
 * Capable of aligning senior stakeholders on objectives, interfaces, and responsibilities, while ensuring clean handoffs and conflict resolution
 * Coordinates decisions across regions/time zones; uses asynchronous mechanisms to maintain momentum.
 * Engages vendor forums; represents team professionally and credibly under pressure; maintains resilience and composure.
 * Resilient and adaptable, with a balance of strategic vision and operational execution.
 * Ability to integrate business, operational, and people dimensions into decision-making.

Enterprise Leadership Skills

 * Business Savviness | Anticipates business and regulatory issues and shapes strategy accordingly; connects technical expertise to organizational and industry context to make strategic recommendations
 * Influence | Leads large teams / projects, helps shape departmental strategy influences leaders, peers, and cross-functional partners to align on decisions and strategic direction
 * Change Catalyst | Drives improvements (e.g., organizational and cultural changes) with broader impact; demonstrates adaptability and ability to collaborate with others to make change successful; helps others overcome resistance to change, * Bachelor's Degree in Computer Science, Statistics, Pharmacy, Nursing, Biological Sciences, or health care related discipline with a minimum of 10 years of experience in relevant field for job description, including:
 * Demonstrated aptitude of working with large datasets to transform into actionable insights, deep subject matter expertise in relevant discipline
 * People management skills
 * Programming and/or analysis experience may include SQL, Python, R, Databricks and the like.
 * Expert knowledge of statistics, data visualization, organizational skills, time management, and database concepts., * Advanced Degree (Masters or Doctorate) in Computer Science, Statistics, Pharmacy, Nursing, Biological Sciences, or health care related discipline with a minimum of 8 years of experience in relevant field for job description, including:
 * Demonstrated aptitude of working with large datasets to transform into actionable insights, deep subject matter expertise in relevant discipline
 * People management skills
 * Programming and/or analysis experience may include SQL, Python, R, Databricks and the like.
 * Expert knowledge of statistics, data visualization, organizational skills, time management, and database concepts., Business Agility, Business Decisions, Database Design, Data Literacy, Data Modeling, Data Organization, Data Science, Data Visualization, Project Management, Stakeholder Relationship Management

Preferred Skills:
Clinical Operations, Data Analysis, Data Analytics, Machine Learning, Leadership
Management
Automation
Governance
Innovation
Resilience
Statistics
Compassion
Databricks
Scalability
Data Science
Adaptability
Data Analysis
Data Modeling
Collaboration
Data Strategy
Data Literacy
Accountability
Time Management
Real World Data
Database Design
Computer Science
Data Integration
Machine Learning
Telephone Skills
Interoperability
Project Management
Influencing Skills
Strategic Planning
Data Visualization

## Description

Business Strategies
Data Transformation
Feature Engineering
Contingent Workforce
Strategic Leadership
Predictive Analytics
Digital Capabilities
Regulatory Compliance, The Director, Data Science (R-track) provides strategic leadership and governance for analytics and data enablement across multiple therapeutic areas. This individual defines and oversees the implementation of enterprise-wide data and analytics strategies, ensuring high-quality automation, methodological consistency, and alignment with clinical and digital health objectives. The Director, Data Science establishes governance frameworks, drive cross-functional collaboration, and advance innovation in analytical methodologies, tools, and automation.

Responsibilities

Data analysis, insights, and visualization

 * Lead the development and execution of therapeutic-area data enablement and analytics strategies aligned with organizational goals.
 * Guide the creation of analytics KPIs (Key Performance Indicators) and dashboards to monitor data performance, quality, and operational efficiency across therapeutic areas.
 * Serve as a key advisor to executive leadership, governance boards, and cross-functional leaders by translating analytical insights into strategic business decisions.

Technical delivery, automation, ML/AI enablement

 * Maintain accountability for the design, performance, and integrity of automated data and analytics pipelines, ensuring scalability and compliance with regulatory standards.
 * Oversee analytics governance to ensure consistent application of standards, metrics, and quality controls across programs and platforms.
 * Drive adoption of emerging technologies (e.g., AI/ML, advanced data visualization, predictive analytics) and promote continuous improvement in analytical efficiency and value generation.
 * Define and enforce best practices for dataset design, feature engineering, and analytical evaluation to ensure comparability and reproducibility across studies.
 * Lead and mentor analytics team members, fostering an environment of innovation, accountability, and collaboration.
 * Strengthen organizational analytics maturity through targeted capability development and knowledge-sharing initiatives.
 * Partner with clinical, data management, and IT teams to ensure cohesive, interoperable analytics processes that drive meaningful business and scientific outcomes.
 * Champion organizational change; drive adoption of new operating models and digital capabilities across global functions, RStudio
Oncology
Ideation
Base SAS
Curiosity
Marketing
Economics
Leadership
Consulting
Automation
Innovation
Algorithms
Statistics
Compassion
Agentic AI
Mathematics
Forecasting
Data Science
Data Privacy
Communication
Data Analysis
Data Modeling
Biotechnology
Data Strategy
Brand Strategy
SAS (Software)
Pharmaceuticals
Business Acumen
Self-Motivation
Market Research
Database Design
Business Process
Computer Science
Microsoft Access
Machine Learning
Business Metrics
Telephone Skills
Decision Science
Data Engineering
Domain Knowledge
Growth Mindedness
Population Health
Project Management
Advanced Analytics
Executive Presence
Data Visualization
Business Decisions
Business Strategies
Customer Engagement
Business Priorities
Statistical Methods
Experimental Design
Software Development
Contingent Workforce
Computer Programming
Marketing Operations
Go-to-Market Strategy
Business Requirements
Business Intelligence
Customer Segmentation
Stakeholder Management
Relationship Management
Electronic Medical Record
SQL (Programming Language)
Data-Driven Decision Making
Machine Learning Algorithms
Interpersonal Communications
Python (Programming Language)
Healthcare Industry Knowledge
Generative Artificial Intelligence
Master Of Business Administration (MBA)
+0, Oncology
Ideation
Base SAS
Curiosity
Marketing
Economics
Leadership
Consulting
Automation
Innovation
Algorithms
Statistics
Compassion
Agentic AI
Mathematics
Forecasting
Data Science
Data Privacy
Communication
Data Analysis
Data Modeling
Biotechnology
Data Strategy
Brand Strategy
SAS (Software)
Pharmaceuticals
Business Acumen
Self-Motivation
Market Research
Database Design
Business Process
Computer Science
Machine Learning
Business Metrics
Telephone Skills
Decision Science
Data Engineering
Domain Knowledge
Growth Mindedness
Population Health
Project Management
Advanced Analytics
Executive Presence
Data Visualization
Business Decisions
Business Strategies
Customer Engagement
Business Priorities
Statistical Methods
Software Development
Statistical Analysis
Contingent Workforce
Computer Programming
Marketing Operations
Go-to-Market Strategy
Business Requirements
Performance Reporting
Business Intelligence
Stakeholder Management
Relationship Management
Decision Support Systems
Electronic Medical Record
Self Service Technologies
SQL (Programming Language)
Data-Driven Decision Making
Interpersonal Communications
Python (Programming Language)
Healthcare Industry Knowledge
Key Performance Indicators (KPIs)
Generative Artificial Intelligence
+0


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