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Data Analytics Intern (PQM+)

The U.S. Pharmacopeial Convention (USP) is a scientific nonprofit organization that sets standards for the identity, strength, quality, and purity of medicines, food ingredients, and dietary supplements manufactured, distributed, and consumed worldwide. USP’s drug standards are enforceable in the United States by the Food and Drug Administration, and these standards are used in more than 140 countries.
Global development data is readily available across many health indicators, but in the fields of medicine quality and access, there is a relative dearth of publicly available data. PQM+, through its Medicine Quality Database, is a leader in this space and was referenced in WHO’s 2017 assessment that ~10% of medicines in LMICs in Asia and Africa are substandard and falsified; however more can be done to measure the scale of the problem and progress. Much of the data that resides in PQM+’s tools and project work lays dormant or needs regular updates turning the process time consuming. Pre-identification of regular reliable data sources and organization of regular updated templates will contribute to the agility of PQM+ template and to PQM+ learning agenda by providing new paths and options for publications. . Some of the use cases PQM+ hopes to achieve progress are:
  • Adequate and quality-assured sources of data to conduct data analytics projects that help assess the current state of medicine quality and access in LMICs, and link outcomes to PQM+’s activities
  • The ability to more effectively and informally benchmark partner organizations (e.g., regulators, National Quality Control Labs, Manufacturers etc.)
  • A clear position on a PQM+ roadmap for leveraging publicly available data in projects, uses cases for data made available through Industry 4.0 / Internet of Things (IoT) in medicine manufacturing and needed improvements for improved internal data mining
The intern will work under the guidance of the PQM+ Sr. Advisor on Pharmaceutical Strategy and in coordination with technical staff at USP headquarters in Rockville, MD.
Activities
Internal data mapping: The intern’s initial task will be to create a data map of available internal data assets. This initial project will build on prior work within PQM+, USP Data Analytics, Medicine Supply Map teams. The intern will not have to download, or link directly to these data assets but will need to categorize the data assets according to ease of access and relevance of the data to PQM+ work.
External data assessment / benchmarking: The intern will look at other organizations that work in the medicine quality and access space to identify opportunities for collaboration, best practices in data management, approaches to public sharing of data. Although data won’t need to be blended with PQM+ data, the internal will map out how such merges could be completed. Examples of external organizations are The Global Fund, WHO, national regulators, national procurement agencies, development implement partners, etc.
Propose and execute on a research project: The intern will propose three different analytics related research projects that are related to one of the three PQM+ data use cases. After a review of the options with a small internal team, one project will be selected. The intern will then conduct the necessary research and present findings to the PQM+ team.
Deliverables
  • Data map: This data map would detail data fields, format, coverage, compatibility, access, and other key information across internal and external data assets. The intern can choose the software to visually present this in, as long as it can easily be transferred into a Microsoft suite product.
  • Research proposal: Brief research proposals for three distinct analyses related to merging data sets or understanding correlation between variables across two or more data sets. These will be presented internally to a small team prior to choosing one proposal. Format: Microsoft Word.
  • Research project: Intern will conduct the chosen study and present findings. Format: Microsoft PowerPoint.
  • Close out document: In the final week of the internship, the intern will prepare a sign-off document to guide future users, consolidate findings, and provide recommendations to PQM+.
Basic Qualifications
  • Bachelor’s degree in data science, public health, economics, or another degree combined with significant exposure to data analytics.
  • An understanding of the key micro and macro-economic drivers applicable to the health products development, manufacturing, and procurement, an overall understanding of the technical role and competency framework of a National Regulatory Authority
  • An ability to deal with data collection, interpretation, knowledge in datamining and databases creation, and classic statistics comparison for data interpretation and formatting.
  • Exposure to data analytics coding in at least excel, and preferably in Tableau, R, Python

Period of Performance
The anticipated period of performance will begin in February/March 2023 and run for approximately three months.

The following COVID-19 provisions will apply to selected candidate(s) hired:
As a condition of employment with United States Pharmacopeial Convention’s (USP) duty to provide and maintain a workplace that is free of known hazards, all employees and contingent staff hired after July 1st, 2021 are required to be fully vaccinated unless a reasonable accommodation is approved. Your recruiter will advise accordingly.