AMT Data Scientist

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 1300 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 that ends on October 31 2027. 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 principal component analysis (PCA) partial least squares (PLS) and advanced machine learning (ML) algorithms.
• Use of 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.
• Apply data science expertise to the development of 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 the sustainable manufacturing and supply chain spaces.
• Model trade-offs and conduct scenario analysis to optimize yield reduce waste and cost of production.
• Develop AL/ML tools for internal use within the AMT team to improve efficiency and quality of complex technical and economic analyses.
• Use of AI/ML-driven retrosynthetic tools (e.g. AIZynthFinder SYNCHEM) and multi-target convergent synthesis frameworks to design efficient cost-effective pathways for active pharmaceutical ingredients (APIs) and intermediates.
• In collaboration with USP science staff analyze high-dimensional data from analytical platforms such as NIR Raman FTIR and HPLC employing chemometric 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 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 seven (7) years of relevant experience; masters 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 as well as 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. PythonPandas scikit-learn TensorFlow; R; MATLAB; Pyomo).
• Strong analytical reasoning critical thinking and troubleshooting ability.
• High attention to detail and integrity.
• Demonstrates 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 chemical engineering or closely related field with significant emphasis in mathematical and statistical methods to extract meaningful information.
• Working knowledge of manufacturing in the pharmaceutical industry.
• Familiarity with the applying data science to climate risk or other environmental domains.
• Experience executing on contract work.

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 $87200.00 $113450.00 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 specificwritten agreement with USP.