Genentech
Principal Supply Chain Data Scientist
Genentech, a member of the Roche Group, has been delivering on the promise of biotechnology for more than 45 years. We are a biotechnology company dedicated to pursuing groundbreaking science to discover and develop medicines for people with serious and life‑threatening diseases. Our transformational discoveries include the first targeted antibody for cancer and the first medicine for primary progressive multiple sclerosis. Opportunity 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. Based at our main US Distribution facility in Louisville, Kentucky, this role goes beyond traditional data analysis to design predictive and prescriptive models, fostering innovation in supply chain strategy and decision‑making. 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 and 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. Manage warehouse capacity modeling and assessments to ensure accurate and timely insights. Plan inbound/outbound logistics to meet daily and weekly distribution schedules and design efficient delivery routes. Analyze the distribution network to identify bottlenecks, optimize routes, and improve overall efficiency and cost‑effectiveness. Serve as a strategic advisor, translating business challenges into actionable, data‑driven insights. Present findings, recommendations, and strategic plans to senior leadership. Manage data governance frameworks, ensuring integrity, accuracy, and compliance with regulations. Track key performance indicators such as on‑time delivery rates, inventory turns, and order fulfillment rates. Address disruptions in the distribution process promptly and develop contingency plans for potential risks. Create, implement, and manage data integration workflows using SQL Integration Services; develop multidimensional cubes and tabular models in SQL Analysis Services. Qualifications
Bachelor's degree in a quantitative or technical field (Data Science, Supply Chain Management, Logistics, Operations Research, Mathematics, or Computer Science) required. Advanced degrees (Master's, PhD) in the same fields strongly preferred. 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. Demonstrated track record of implementing analytics within a supply chain context, with pharmaceutical distribution expertise strongly preferred. Proficiency in Python, SQL, cloud‑based tools, machine learning models, and optimization algorithms. Hands‑on experience with advanced statistical and machine learning packages (scikit‑learn, TensorFlow, R). Skilled in optimization tools (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. Relocation
Relocation funding is not available for this role. Salary
The expected salary range for this position based on the primary location of Louisville, Kentucky is $127,100 – $236,100. Actual pay will be determined based on experience, qualifications, geographic location, and other job‑related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below. Benefits
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws. If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.
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Genentech, a member of the Roche Group, has been delivering on the promise of biotechnology for more than 45 years. We are a biotechnology company dedicated to pursuing groundbreaking science to discover and develop medicines for people with serious and life‑threatening diseases. Our transformational discoveries include the first targeted antibody for cancer and the first medicine for primary progressive multiple sclerosis. Opportunity 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. Based at our main US Distribution facility in Louisville, Kentucky, this role goes beyond traditional data analysis to design predictive and prescriptive models, fostering innovation in supply chain strategy and decision‑making. 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 and 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. Manage warehouse capacity modeling and assessments to ensure accurate and timely insights. Plan inbound/outbound logistics to meet daily and weekly distribution schedules and design efficient delivery routes. Analyze the distribution network to identify bottlenecks, optimize routes, and improve overall efficiency and cost‑effectiveness. Serve as a strategic advisor, translating business challenges into actionable, data‑driven insights. Present findings, recommendations, and strategic plans to senior leadership. Manage data governance frameworks, ensuring integrity, accuracy, and compliance with regulations. Track key performance indicators such as on‑time delivery rates, inventory turns, and order fulfillment rates. Address disruptions in the distribution process promptly and develop contingency plans for potential risks. Create, implement, and manage data integration workflows using SQL Integration Services; develop multidimensional cubes and tabular models in SQL Analysis Services. Qualifications
Bachelor's degree in a quantitative or technical field (Data Science, Supply Chain Management, Logistics, Operations Research, Mathematics, or Computer Science) required. Advanced degrees (Master's, PhD) in the same fields strongly preferred. 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. Demonstrated track record of implementing analytics within a supply chain context, with pharmaceutical distribution expertise strongly preferred. Proficiency in Python, SQL, cloud‑based tools, machine learning models, and optimization algorithms. Hands‑on experience with advanced statistical and machine learning packages (scikit‑learn, TensorFlow, R). Skilled in optimization tools (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. Relocation
Relocation funding is not available for this role. Salary
The expected salary range for this position based on the primary location of Louisville, Kentucky is $127,100 – $236,100. Actual pay will be determined based on experience, qualifications, geographic location, and other job‑related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below. Benefits
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws. If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.
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