Data Associate (Winter/Spring 2027)
Source, review, and analyze biotech, pharma, and MedTech information for data platforms, helping improve data quality and coverage through spreadsheet work, LLM prompt engineering, and basic coding.
As part of a new initiative related to our recently approved DOL WORC grant extension, NewForce is recruiting for NewForce: Insights. The program will retain four stipend-eligible students per cohort at the same rate ($11/hour) and work schedule (35 hours/week) as the traditional program for a 3 month extension, during which trainees will collaborate on data analysis projects for Generation WV and its partners. NewForce: Insights team members will report to the NewForce Program Director during this time and will also meet as needed with an industry mentor for technical guidance. In addition to providing trainees project experience with real data, their work will also result in actionable insights for our organization, as well as any partners to whom we are able to offer service. This improves traineesโ marketability and improves organizational efficiency and effectiveness.
GOALS
The Insights team will work on projects as prioritized by the NewForce and GWV teams. Some anticipated projects are listed below:
Requirements
Source, review, and analyze biotech, pharma, and MedTech information for data platforms, helping improve data quality and coverage through spreadsheet work, LLM prompt engineering, and basic coding.
Analyze and clean data, validate analytics models with educators, and build tests, dashboards, and workflows that help identify student needs and improve data-driven decisions.
Research public spending data to develop comparative analyses and uncover insights about government spending, working with the Deputy Policy Director to turn quantitative research into compelling stories.
Evaluate personalized search results and location recommendations by judging whether suggested places are relevant and useful, applying project guidelines and completing rating tasks accurately.
Evaluate personalized search results and location recommendations by assessing whether suggested places match user intent and context, then apply project guidelines to complete accurate relevance ratings.