AMT Data Scientist

Company: United States Pharmacopeia
Location: Rockville
Posted on: February 1, 2026

Job Description:

Description Who is USP? The U.S. Pharmacopeial Convention (USP) is an independent scientific organization that collaborates with the worlds leading health and science experts to develop rigorous quality standards for medicines, dietary supplements, and food ingredients. At USP, we believe that scientific excellence is driven by a commitment to fairness, integrity, and global collaboration. This belief is embedded in our core value of Passion for Quality and is demonstrated through the contributions of more than 1,300 professionals across twenty global locations, working to strengthen the supply of safe, high-quality medicines worldwide. At USP, we value inclusive scientific collaboration and recognize that attracting diverse expertise strengthens our ability to develop trusted public health standards. We foster an organizational culture that supports equitable access to mentorship, professional development, and leadership opportunities. Our partnerships, standards, and research reflect our belief that ensuring broad participation in scientific leadership results in stronger, more impactful outcomes for global health. USP is proud to be an equal employment opportunity employer (EEOE) and is committed to ensuring fair, merit-based selection processes that enable the best scientific mindsregardless of backgroundto contribute to advancing public health solutions worldwide. We provide reasonable accommodations to individuals with disabilities and uphold policies that create an inclusive and collaborative work environment. Brief Job Overview The USP Advanced Manufacturing Technologies (AMT) team seeks to continuously improve medicines through practical applications and solutions in advanced manufacturing and analytical technologies that increase medicine quality and strengthen supply chain resiliency. The AMT team helps make drugs in new ways, test the quality of drugs in new ways, and build more efficient, sustainable, and competitive industries both in the US and around the globe. To do this work, the AMT team brings together expertise in chemistry, biologics, engineering, data science, economics, business, and regulatory science. The AMT Data Scientist is a scientific professional who leverages data science expertise to support scientific, supply chain, and sustainability programs. This will include, but are not limited to, the following program areas: 1) MedSuRe Climate-smart work package building baseline and improvement models of manufacturing, energy, water, waste, and resource utilization; 2) AI/ML models to streamline pharmaceutical supply chain vulnerability and solution analyses; and 3) processing and modeling spectroscopy data generated by process analytical technologies (PAT) research and development solutions. The role emphasizes cross-disciplinary collaboration on time-sensitive externally and internally funded projects and development of proposals for new projects. The workload balance in these areas depends on external funding priorities and projects. This is a two-year fixed term position . The term may be extended based on external funding priorities and projects. How will YOU create impact here at USP? As part of our mission to advance scientific rigor and public health standards, you will play a vital role in increasing global access to high-quality medicines through public standards and related programs. USP prioritizes scientific integrity, regulatory excellence, and evidence-based decision-making to ensure health systems worldwide can rely on strong, tested, and globally relevant quality standards. Additionally, USPs People and Culture division, in partnership with the Equity Office, invests in leadership and workforce development to equip all employees with the skills to create high-performing, inclusive teams. This includes training in equitable management practices and tools to promote engaged, collaborative, and results-driven work environments. The AMT Data Scientist has the following responsibilities: Create, validate, and continually refine multivariate models using machine learning algorithms such as gradient boosting, partial least squares (PLS), support vector machines, and neural networks. Leverage AI foundational models to extract insight from large and diverse knowledge bases and generate analyses. Leverage feature engineering, validation, and explainability techniques to ensure model robustness and interpretability while managing high-dimensional data sets. Employ advanced model-based approaches for scenario simulation, risk prediction, and mitigation optioning. Act as a subject-matter expert on data science on cross-functional projects, including the technical design of proposals and plans of research. Explore and incorporate additional advanced data science techniques such as knowledge graphs, digital twins, and physical models as needed to solve novel problems. Develop and deploy AL/ML tools for client and internal use within the AMT team to improve efficiency and quality of complex, technical and economic analyses. Design and implement models within key AMT areas of interest including: Environmental impact of pharmaceutical manufacturing including carbon footprint, energy, water, waste as well as life-cycle assessment, and optimization against environmental impacts, cost of production, and risk. Pharmaceutical supply chain risk and mitigations from key starting materials (KSM) through active pharmaceutical ingredients (API) and finished dosage forms (FDF) Novel drug manufacturing technologies such as flow chemistry, process analytical technologies (PAT), and 3D printing. New topical areas as client needs and AMT internal strategy evolve. Ensure all work is done on-time, meets client expectations, and exemplifies the trust, quality, and reliability expected from a USP solution. Other duties as assigned. Who is USP Looking For? The successful candidate will have a demonstrated understanding of our mission, commitment to excellence through inclusive and equitable behaviors and practices, ability to quickly build credibility with stakeholders, along with the following competencies and experience: Bachelors Degree and five (5) years of relevant experience; masters degree and three (3) years of relevant experience; or a Ph.D. and two (2) years of relevant experience required. Demonstrated experience applying machine learning and statistical techniques to complex systems such as pre-processing, classification, regression, clustering, dimensionality reduction, anomaly detection, and model selection. Programming and computational abilities in data science languages and frameworks (e.g., PythonPandas, scikit-learn, Matplotlib, TensorFlow, PyTorch, LangChain; R; MATLAB;). Experience following good software engineering practices and deploying solutions into production. Demonstrated experience with cloud environments and services such as AWS, Azure, or Google Cloud. Working knowledge of the pharmaceutical industry and manufacturing. Strong analytical reasoning, critical thinking, and troubleshooting ability. Ability to engage productively with both internal and external stakeholders High attention to detail and integrity. Initiative to solve problems and develop solutions on a deadline. Solid communications skills both written and oral. Desire to affect change and drive public health impact. Additional Desired Preferences Preferred degrees in data science, statistics, chemistry, chemical engineering, or closely related field with significant emphasis in mathematical and statistical methods to extract meaningful information. Familiarity with the application of data science to climate risk, sustainable manufacturing, lifecycle assessment, or other environmental considerations. Experience applying data science to model supply chains, manufacturing quality, or other manufacturing operations. Familiarity with retrosynthesis or AI/ML-driven retrosynthetic tools (e.g., AIZynthFinder, SYNCHEM) or multi-target convergent synthesis frameworks. Familiarity with analytical techniques and platforms such as NIR, Raman, FTIR, and HPLC as well as chemometric methods to extract actionable insights Experience executing on contract work, donor-funded projects, or government projects. Supervisory Responsibilities None, this is an individual contributor role. Benefits USP provides the benefits to protect yourself and your family today and tomorrow. From company-paid time off and comprehensive healthcare options to retirement savings, you can have peace of mind that your personal and financial well-being is protected. Compensation Base Salary Range: USD $87,200.00 $113,450.00 annually. Target Annual Bonus: % Varies based on level of role. Individual compensation packages are based on various factors unique to each candidates skill set, experience, qualifications, equity, and other job-related reasons. Note: USP does not accept unsolicited resumes from 3rd party recruitment agencies and is not responsible for fees from recruiters or other agencies except under specific written agreement with USP. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor. Job Category Information Technology Job Type Full-Time

Keywords: United States Pharmacopeia, Arlington , AMT Data Scientist, Science, Research & Development , Rockville, Virginia