# Biostatistics and Data Science Facility Core

> **NIH NIH P30** · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · 2024 · $219,700

## Abstract

Project Summary
The mission of Mount Sinai's P30 Center on Health and Environment Across the LifeSpan (HEALS) is to
accelerate team science–based research utilizing life course–informed models of health. The Biostatistics and
Data Science Facility Core (BDSFC) plays a key role in that mission by modeling complex exposure and
phenotype data generated by Center Members across a spectrum of study types (basic, clinical,
epidemiologic), exposures and health outcomes. Services include study design, covariate selection, data
analysis as well as developing methods when needed to address our Center's research themes (mixtures/
exposomics, clinical environmental research, and environmental justice). Environmental conditions are not
distributed equally and the risk of higher toxic exposures is not random. Higher rates of poor air quality, poor
water quality, poor nutrition and the probability of exposure to toxic chemicals tracks along racial and
socioeconomic gradients. By embracing a life course approach, our Center promotes research that addresses
both the early life and later life environments that determine developmental health trajectories. We also
emphasize the complexity of environmental health which crosses space (geospatial variability) and time
(longitudinal effects, life stage effects) while bridging public health (prevention of disease) with medicine
(diagnosis and treatment variability). Our approach is based upon the fundamental principle that “all diseases
have an environmental basis.” While we offer standard data analytic services (e.g., linear models, longitudinal
mixed effects models, power calculations, study analysis planning) the statistical methods and study designs
needed for analyzing the complex, high-dimensional data that arise in much of our Center's work are still
relatively new and require knowledge of advanced statistical techniques and the ability to curate and interpret
complex biologic data – expertise maintained by the faculty of the BDSFC. Core faculty and researchers
engage in research motivated by questions and methodological challenges that arise from center
collaborations and innovations by our Center Cores. Core faculty and staff provide statistical and data science
training for postdoctoral fellows working on environmental health sciences (EHS) related projects. Providing
such services via a core facility allows the P30 Center to build and maintain specialized resources (e.g.,
expertise in measuring and advanced statistical, data science and epidemiological methods related to
evaluation of environmental mixtures). Thus, to support the overall goals of the P30 Center, the BDSFC
proposes the following specific aims: (1) to ensure that Center projects are grounded in sound
biostatistical/data science principles and use state-of-the-art methods for design and analysis of EHS data; (2)
to conduct mission-critical biostatistical/data science methods research for further quality assurance of all
research and data analysis...

## Key facts

- **NIH application ID:** 10850678
- **Project number:** 5P30ES023515-11
- **Recipient organization:** ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI
- **Principal Investigator:** Chris Gennings
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $219,700
- **Award type:** 5
- **Project period:** 2014-06-18 → 2028-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10850678

## Citation

> US National Institutes of Health, RePORTER application 10850678, Biostatistics and Data Science Facility Core (5P30ES023515-11). Retrieved via AI Analytics 2026-05-27 from https://api.ai-analytics.org/grant/nih/10850678. Licensed CC0.

---

*[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*