AMT Data Scientist

The U.S. Pharmacopeial Convention (USP) is an independent scientific organization that collaborates with the world’s 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.

The AMT Data Scientist is a scientific professional who leverages data science expertise to support scientific, supply chain, and sustainability programs. The role focuses on model development for climate‑smart manufacturing, AI/ML supply‑chain vulnerability analysis, and spectroscopy data processing from process analytical technologies (PAT). Responsibilities include cross‑disciplinary collaboration on time‑sensitive projects and development of proposals for new initiatives.

• Med Su Re  Climate‑smart work package: building baseline and improvement models of manufacturing, energy, water, waste, and resource utilization.
• AI/ML models to streamline pharmaceutical supply chain vulnerability and solution analyses.
• Processing and modeling spectroscopy data generated by PAT research and development solutions.

This is a two‑year fixed‑term position. The term may be extended based on external funding priorities and projects.

• Create, validate, and continually refine multivariate models using PCA, PLS, and advanced machine learning algorithms.
• Apply normalization, mean‑centering, and cross‑validation strategies 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.
• Develop carbon‑footprint models of pharmaceutical manufacturing that incorporate energy, process technologies, water, waste, transportation, and packaging.
• Build, validate, and implement life‑cycle assessment models and tools for current and future applications.
• Build, validate, and implement predictive models in both sustainable manufacturing and supply chain spaces.
• Model trade‑offs and conduct scenario analysis to optimize yield, reduce waste, and lower cost of production.
• Develop AI/ML tools for internal use within the AMT team to improve efficiency and quality of complex, technical, and economic analyses.
• Use AI/ML‑driven retrosynthetic tools (e.g., AIZynth
  
  Finder, SYNCHEM) and multi‑target convergent synthesis frameworks to design efficient, cost‑effective pathways for active pharmaceutical ingredients (APIs) and intermediates.
• Collaborate with USP science staff to analyze high‑dimensional data from analytical platforms such as NIR, Raman, FTIR, and HPLC using chemo metric methods to extract actionable insights.
• Author and execute protocols for method design, model building, and validation for advanced manufacturing technologies.
• Act as a subject‑matter expert on data science on cross‑functional projects, including the technical design of proposals.
• Ensure all work is completed on time, meets client expectations, and exemplifies the trust, quality, and reliability expected from a USP solution.
• Other duties as assigned.

• Bachelor’s degree and seven (7) years of relevant experience; master’s degree and five (5) years of relevant experience; or a Ph.D. and (3) years of relevant experience required.
• Demonstrated experience applying statistical techniques to complex systems and developing or applying techniques such as pre‑processing, classification, regression, clustering, dimensionality reduction, and model selection.
• Programming and computational abilities in data science languages and frameworks (e.g., Python/Pandas, scikit‑learn, Tensor Flow; R; MATLAB; Pyomo).
• Strong analytical reasoning, critical thinking, and troubleshooting ability.
• High attention to detail and integrity.
• Demonstrates initiative to solve problems and develop…