Senior Biostatistician

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Position Title Sr. Biostatistician

Position Number 8151034

Work Modality Fully Remote

Is this request for the creation of a new Position (or the modification of an existing Position) to temporarily support the Work Day ERP? No

Job Category University Staff

Job Type Full-Time

FLSA Status Exempt

Campus Maywood-Health Sciences Campus

Department Name PUBLIC HEALTH SCIENCES

Location Code PUBLIC HEALTH SCIENCES (06250A)

Is this split and/or fully grant funded? Yes

We have an immediate opening for a Senior Biostatistician position in Dr. Qeadan’s research team in the Public Health Sciences Department within the Parkinson School of Health Sciences and Public Health. We are seeking an experienced biostatistician with expertise in electronic health record ( EHR ) data, advanced statistical methods, and SAS and R programming to lead and support clinical and public health research projects.

This role involves providing statistical leadership in study design, EHR data management and analysis, manuscript preparation, grant development, and collaborative research initiatives.

• Demonstrated experience serving as the lead biostatistician on research studies and multidisciplinary projects.
• Required 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.

• 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
• Demonstrated ability to select and apply appropriate statistical methodologies to complex clinical, public health, and observational research questions.

• Advanced proficiency in SAS and R, including development of custom SAS macros, R functions, and automated analytical workflows.
• Demonstrated 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.

• Exceptional written and verbal communication skills, including the ability to communicate complex statistical concepts and findings to technical and non-technical audiences.
• Demonstrated 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.
• Proven ability to work collaboratively in multidisciplinary research environments while maintaining professionalism, confidentiality, and scientific rigor.

• 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,…