Pia Peltola
About Pia Peltola
Pia Peltola is a Scientific Review Officer at The National Institutes of Health, where she has worked since 2020. She has extensive experience in managing survey projects and possesses a strong background in data collection and analysis.
Work at National Institutes of Health
Pia Peltola has served as a Scientific Review Officer at the National Institutes of Health (NIH) since 2020. In this role, she is responsible for overseeing the scientific review process for grant applications and ensuring that the review is conducted in accordance with NIH policies and procedures. Her work involves evaluating the scientific merit of proposals and providing recommendations for funding. The NIH is located in Bethesda, Maryland, where Peltola has contributed her expertise in managing survey projects and data analysis.
Previous Experience at American Institutes for Research
Before joining the NIH, Pia Peltola worked at the American Institutes for Research (AIR) as a Principal Researcher from 2004 to 2020. During her 16 years at AIR, she led various research initiatives and managed both small- and large-scale survey projects. Her responsibilities included data collection, analysis, and reporting, which provided her with a strong foundation in research methodologies and project management.
Education and Expertise
Pia Peltola earned her Doctor of Philosophy (PhD) in Sociology from the University of Maryland. Her educational background has equipped her with a robust understanding of both qualitative and quantitative research methods. Peltola's expertise extends to federal government grant management, where she has successfully managed contracts and budgets with various government agencies and clients.
Research Skills and Methodologies
Pia Peltola possesses extensive experience in qualitative and quantitative data collection and analysis. Her skills encompass a wide range of research methodologies, allowing her to effectively manage survey projects and derive meaningful insights from data. This expertise is critical in her current role at the NIH, where data-driven decision-making is essential for evaluating grant applications.