Genentech ยท 1 day ago
Principal Supply Chain Data Scientist
Genentech is a biotechnology company dedicated to pursuing groundbreaking science to discover and develop medicines for people with serious and life-threatening diseases. As the Principal Supply Chain Data Scientist, you will lead advanced analytical initiatives to optimize pharmaceutical distribution processes, leveraging cutting-edge data science methodologies and technologies.
BiotechnologyLife ScienceManufacturing
Responsibilities
Design, implement, and validate advanced algorithms and predictive models to solve supply chain challenges in a high-pace distribution operation
Apply machine learning, statistical methods, and optimization techniques to enhance forecasting, inventory management, and logistics planning
Analyze large datasets and business systems to identify trends, patterns, and innovative opportunities using data mining tools and statistical approaches
Develop advanced AI-driven tools for improved planning accuracy, distribution efficiency, and warehouse operations
Develop and maintain reports and dashboards using Tableau
Generate and distribute reports using SQL Reporting Services
Develop and implement distribution plans to optimize product movement from manufacturing facilities to customers
Create and execute detailed schedules for deliveries, warehouse operations, and related activities
Effectively manage warehouse capacity modeling and assessments to ensure accurate and timely insights
Conduct space utilization analysis, evaluating how effectively warehouse space is being used and identifying areas for improvement
Plan inbound/outbound logistics to meet daily and weekly distribution schedules
Plan efficient delivery routes and schedules for cost-effective transportation of medications
Analyze the distribution network to identify bottlenecks, optimize routes, and improve overall efficiency and cost-effectiveness
Drive the creation of digital twin models for scenario planning and strategic decision-making, ensuring efficient and sustainable supply chain practices
Evaluate and propose innovation opportunities through investment modeling and process improvements
Serve as a strategic advisor, translating business challenges into actionable, data-driven insights
Present findings, recommendations, and strategic plans to senior leadership, aligning advanced analytics with organizational goals
Act as the subject matter expert in supply chain analytics, providing guidance across initiatives and projects
Manage data governance frameworks, ensuring integrity, accuracy, and compliance with regulations
Track key performance indicators (KPIs) such as on-time delivery rates, inventory turns, and order fulfillment rates to identify areas for improvement
Analyze performance data to identify issues and implement changes to enhance efficiency and customer service
Address disruptions in the distribution process promptly and develop contingency plans for potential risks
Regularly review performance metrics and adjust processes for ongoing optimization
Use advanced planning systems and AI-driven tools to improve planning accuracy and optimize warehouse operations
Create comprehensive documentation and reports to communicate insights and recommendations
Ensure compliance with relevant regulations and guidelines related to pharmaceutical distribution and supply chain management
Create, implement, and manage data integration workflows using SQL Integration Services
Develop multidimensional cubes and tabular models in SQL Analysis Services
Ensure data integrity, accuracy, and security across all BI systems
Continuously improve BI processes and methodologies to enhance efficiency and effectiveness
Qualification
Required
Bachelor's degree in a quantitative or technical field (e.g., Data Science, Supply Chain Management, Logistics, Operations Research, Mathematics, or Computer Science) required
Over 10 years of experience in supply chain analytics, business intelligence, or advanced data science roles, with a minimum of 8 years in advanced supply chain analytics
Proficiency in Python, SQL, and cloud-based tools with experience in developing machine learning models and optimization algorithms
Hands-on experience with advanced statistical and machine learning packages (e.g., scikit-learn, TensorFlow, R)
Skilled in optimization tools (e.g., Gurobi, CPLEX) and inventory management platforms
Deep understanding of supply chain management principles, including forecasting, inventory optimization, logistics planning, and procurement
In-depth experience with pharmaceutical distribution requirements, industry standards, and compliance regulations
Familiarity with warehouse operations, capacity planning, network design, and space utilization analysis
Familiarity with SQL Integration Services, SQL Analysis Services, and SQL Reporting Services
Preferred
Advanced degrees (Master's, PhD) in the same fields strongly preferred, with demonstrated expertise in supply chain analytics
Demonstrated track record of implementing analytics within a supply chain context, with pharmaceutical distribution expertise strongly preferred
Benefits
A discretionary annual bonus may be available based on individual and Company performance.
Company
Genentech
Genentech is a biotechnology research company that specializes in genetic testing and personalized medicines.
H1B Sponsorship
Genentech has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (167)
2024 (148)
2023 (150)
2022 (178)
2021 (121)
2020 (158)
Funding
Current Stage
Public CompanyTotal Funding
unknown2009-03-26Acquired
1999-07-20IPO
1976-01-01Series Unknown
Leadership Team
Recent News
2026-01-07
MarketScreener
2026-01-06
Company data provided by crunchbase