Position Details Position Details
Job Title Sr. Biostatistician
Position Number 8151034
Work Modality Fully Remote Work
Is this request for the creation of a new Position (or the modification of an existing Position) to temporarily support the WorkDay 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
Duties and Responsibilities 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.
Training and Experience:- 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.
Statistical ExpertiseFormal training in probability theory, mathematical statistics, linear models, and categorical data analysis. Expertise in multiple advanced statistical methodologies, including several of the following:
- 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.
Technical Skills- 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.
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.
- 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.
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/or Work Experience Required Education: Master's degree and a minimum of 15 years of experience.
- Preferred Education: PhD and a minimum of 5 years of experience.
- Field of study: Biostatistics, Statistics, Epidemiology, Data Science, Public Health, Health Informatics, or a related quantitative field.
Required Experience: • 3-5 years of experience as a collaborating statistician
Preferred:
• 6-10 years of experience as a collaborating statistician
• Past experience obtaining external funding as Co-I or study biostatistician
Qualifications - Master's degree in Biostatistics, Statistics, Epidemiology, Data Science, Public Health, Health Informatics, or a related quantitative field required; Ph.D. preferred. Candidates with a Master's degree should have a minimum of 15 years of clinical or health-related research experience. Candidates with a Ph.D. should have a minimum of 5 years of clinical or health-related research experience.
- The ideal candidate will possess exceptional analytical, leadership, and communication skills, with demonstrated expertise in biostatistical methods, clinical and public health research, and electronic health record (EHR)-based research. The successful candidate will have experience leading statistical aspects of research projects, collaborating with multidisciplinary teams, and contributing to externally funded research initiatives.
Certificates/Credentials/Licenses Master's degree and a minimum of 15 years of experience. PhD (preferred) and a minimum of 5 years of experience. Field of study: Biostatistics, Statistics, Epidemiology, Data Science, Public Health, Health Informatics, or a related quantitative field.
Computer Skills Advanced proficiency in SAS and R, including development of custom SAS macros, R functions, and automated analytical workflows.
Proficiency with Microsoft Office Suite, including Word, Excel, PowerPoint, and Outlook.
Supervisory Responsibilities No
Required operation of university owned vehicles No
Does this position require direct animal or patient contact? No
Physical Demands None
Working Conditions None
Open Date 06/10/2026
Close DatePosition Maximum Salary or Hourly Rate $100,000/ann
Position Minimum Salary or Hourly Rate $90,000/ann
Special Instructions to Applicants As a Jesuit, Catholic institution of higher education, we seek candidates who will contribute to our strategic plan to deliver a Transformative Education in the Jesuit tradition. To learn more about Loyola University Chicago's mission, candidates should consult our website at
www.luc.edu/mission/. For information about the university's focus on transformative education, they should consult our website at
www.luc.edu/transformativeed.
Quick Link for Posting https://www.careers.luc.edu/postings/35277
