Biostatistician

HEALTH CHOICE NETWORK

11d

About The Position

The Biostatistician provides statistical leadership and advanced analytic support for community‑engaged research, clinical trials, program evaluations, and quality‑improvement initiatives. This role ensures methodological rigor; oversees data cleaning, merging, and preparation; performs complex statistical analyses; and collaborates with multidisciplinary teams across HCN and partner institutions to generate valid, actionable insights that advance health equity.

Requirements

Doctoral degree in Biostatistics, Statistics, Epidemiology, or related quantitative field.
Demonstrated expertise in statistical programming (R, SAS, Stata, or Python).
Experience with large health datasets, longitudinal data, and applied analysis in clinical or public health settings.
Strong understanding of epidemiologic methods, statistical modeling, and research design.
Experience working in multi‑site or community‑based research environments.

Nice To Haves

Experience with EHR‑derived data and community health center environments.
Familiarity with REDCap, SQL, and large‑scale data infrastructure.
Experience contributing to federally funded research (NIH, CDC, HRSA).
Experience working on RCTs or complex multi‑level studies, as seen in NCPCR/CEAL protocols.
Geographic Information Systems (GIS) experience is a plus.

Responsibilities

STATISTICAL DESIGN & METHODOLOGY Develop statistical analysis plans for observational studies, RCTs, quasi‑experimental designs, and community health evaluations.
Conduct power and sample‑size calculations.
Advise investigators on appropriate statistical methods and study designs.
Guide selection of measures, variables, and coding structures.
DATA MANAGEMENT & QUALITY ASSURANCE Oversee data extraction, cleaning, validation, and merging/linkage from EHR systems, REDCap datasets, and multi‑site data sources.
Build reproducible data pipelines (R, SAS, Stata, SQL).
Convert raw datasets into analysis‑ready formats, consistent with workflows.
Ensure compliance with HIPAA, DUAs, IRB requirements, and internal research SOPs.
STATISTICAL ANALYSIS & INTERPRETATION Conduct descriptive, inferential, and multivariable modeling (e.g., LMM, GEE, logistic/Poisson regression, survival analysis).
Perform longitudinal, clustered, and multi‑level modeling used in community health research.
Produce tables, figures, and visualizations for internal and external dissemination.
Collaborate with investigators to interpret and contextualize findings.
RESEARCH & GRANT SUPPORT Contribute to research protocols, IRB submissions, and methodological sections of grant proposals.
Provide biostatistical expertise during project planning, execution, and reporting phases.
Support multi‑site research implementation activities.
Submit and lead grant proposals.
REPORTING, PUBLICATION & DISSEMINATION Prepare analytic reports for leadership, funders, and research partners.
Contribute to and lead peer‑reviewed manuscripts, abstracts, and conference presentations.
Translate quantitative findings into clear, actionable insights for diverse audiences.
COLLABORATION & STAKEHOLDER ENGAGEMENT Work closely with researchers, clinicians, data analysts, technical teams, and community health centers.
Participate in and lead research meetings.
Provide statistical consultation and capacity‑building across the research network.