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Sr. Biostatistician

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: Loyola University Chicago
Full Time position
Listed on 2026-09-25
Job specializations:
  • Research/Development
    Data Scientist
  • IT/Tech
    Data Scientist
Salary/Wage Range or Industry Benchmark: 90000 - 100000 USD Yearly USD 90000.00 100000.00 YEAR
Job Description & How to Apply Below

Position Overview

We have an immediate opening for a Senior Biostatistician in Dr. Qeadan’s research team within the Public Health Sciences Department at Loyola University Chicago. The role involves providing statistical leadership in study design, electronic health record (EHR) data management and analysis, manuscript preparation, grant development, and collaborative research initiatives.

Duties and Responsibilities

Lead and support clinical and public health research projects, providing statistical expertise throughout the research lifecycle.

Training and Experience
  • Demonstrated experience serving as the lead biostatistician on research studies and multidisciplinary projects.
  • Experience working directly with electronic health record (EHR) data, including extraction, transformation, cleaning, validation, and creation of research‑ready analytic datasets.
  • Experience developing patient cohorts, derived variables, and computable phenotypes using diagnosis, procedure, laboratory, medication, and encounter data.
  • Experience supporting observational research using EHR‑derived real‑world data (RWD), clinical data warehouses, or healthcare data repositories.
  • Experience mentoring and providing methodological guidance to biostatisticians, analysts, researchers, and trainees.
Statistical Expertise
  • Survival analysis
  • Hierarchical and mixed‑effects models
  • Clinical trial design and analysis
  • Structural equation modeling
  • Bayesian data analysis
  • Multivariate statistical methods
  • Longitudinal data analysis
  • Causal inference methods
  • Ability to select and apply appropriate statistical methodologies to complex clinical, public health, and observational research questions.
Technical Skills
  • Advanced proficiency in SAS and R, including development of custom SAS macros, R functions, and automated analytical workflows.
  • Ability to develop well‑documented, reproducible, and quality‑controlled statistical code.
  • Experience implementing reproducible research practices and statistical programming standards.
  • Knowledge of healthcare coding systems and terminologies, including ICD‑9/ICD‑10, CPT/HCPCS, LOINC, RxNorm, and/or SNOMED CT.
  • Familiarity with clinical data warehouse environments and common healthcare data models.
Communication and Leadership Skills
  • Exceptional written and verbal communication skills, including the ability to communicate complex statistical concepts and findings to technical and non‑technical audiences.
  • Ability to prepare statistical reports, technical summaries, and presentations for investigators, stakeholders, sponsors, and funding agencies.
  • Strong scientific writing skills with a track record of contributing to peer‑reviewed publications, grant applications, and research reports.
  • Ability to independently manage multiple projects, prioritize competing deadlines, and provide strategic statistical leadership.
  • Collaboration in multidisciplinary research environments with professionalism, confidentiality, and scientific rigor.
Responsibilities
  • Serve as the lead biostatistician on assigned projects and provide statistical leadership throughout the research lifecycle.
  • Provide subject matter expertise and methodological consultation to other biostatisticians, analysts, investigators, and research staff.
  • Lead statistical and methodological design considerations for grant applications.
  • Prepare statistical reports, analytic summaries, and research deliverables for investigators, sponsors, and stakeholders.
  • Collaborate on the writing, reviewing, and editing of manuscripts for publication in peer‑reviewed journals, as well as the preparation of grants.
  • Develop advanced statistical programming solutions, including SAS macros, R functions, and reproducible analytic workflows.
Minimum Education and Work Experience

Required:

Master’s degree with a…

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