The U.S. Pharmacopeial Convention (USP) Senior Supply Chain Analytics Manager in Rockville, Maryland
Summary of the Position
The (Senior) Supply Chain Analytics Manager is a hands-on, highly visible role leading a small specialized team responsible for building an external-facing data product. The incumbent will join a growing Data Science community, working to have public health impact through the insights that are derived from USP’s unique data.
To support its public health mission, USP is building a center for pharmaceutical supply chain insights that will identify unknown vulnerabilities in the upstream pharmaceutical supply chain so that relevant stakeholders, including manufacturers, payors, providers, procurement agencies and regulators around the world can act to mitigate these vulnerabilities and address risks such as drug shortages, and substandard and falsified medicines.
The Center will generate supply chain insights powered by a data asset that leverages public and propriety databases as well as USP’s own information and data. The (Senior) Manager will also be responsible for seeding a predictive analytics capability within USP to support early stage research, products and services.
Roles and Responsibilities
Build, evolve and maintain USP’s supply chain data asset
Build data asset
Develop inferential modeling approaches to validate risk factors
Generate, test, and improve models that predict future supply chain vulnerabilities
Develop methodologies to simulate scenarios and optimize actions that reduce stakeholder risk
Based on feedback, identify and implement ways to evolve the data asset to make it more useful to stakeholders
Identify data gaps and implement ways to fill them
Identify new use cases and generate and implement approaches to meet them
Maintain the dataset
Identify streamlined approaches to refresh data
Work with Data Engineer to iteratively evolve the architecture and content to enable the generation of new or better insights
Provide customized insights to stakeholders and customers
Engage directly with stakeholders to identify their needs and ways to address them that leverage USP’s supply chain data asset
Generate insights, simulations and optimization models to help stakeholders make informed choices that reduce their supply chain risk
Grow a predictive analytics capability to support USP’s innovation programs
Advise senior leadership on the skills, capabilities and infrastructure needed for USP’s innovation agenda, and how to build it
Provide input to other project / product teams regarding ways in which predictive analytics could improve their outputs
Support implementation of suggested improvements, when needed
Participate in prototyping of new approaches / projects to derive further public health impact from USP’s wealth of data
Bachelor’s degree in relevant field
5 years of experience in analytics and data science
Bachelor’s degree in relevant field
8 years of experience in analytics and data science
Experience building and maintaining a customer-facing data product
Advanced data modeling skills with expertise in various machine learning and predictive modeling approaches and tools, such as AI, ML, Python, R, etc.
Advanced data visualization and modeling skills such as Tableau, Shiny, etc.
Supply chain, pharmaceutical, and/or chemical industry experience
Advanced knowledge of relational and graph databases, including of relevant query languages such as SQL, SPARQL, Cypher, etc.
Experience with working in Cloud tool sets and comfort with learning new ones
Ability to communicate to communicate and educate non-expert audiences on predictive analytic approaches, findings, and implications
Supervisory Responsibilities: None
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)
Job Category Information Technology
Job Type Full-Time