Senior Biostatistician

LRES Corporation

Chicago, Northern (IL, KY)

Hybrid

USD 90,000 - 100,000

Full time

14 days+

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Job summary

Senior Biostatistician at Loyola University Chicago will provide statistical leadership across research projects involving electronic health record (EHR) data. The role requires expertise in advanced statistical methods and SAS/R programming to support design, data management, analysis, and manuscript preparation.

The position emphasizes collaboration on grants, methodological guidance to team members, and development of reproducible analytic workflows within a health sciences research

Qualifications

Master’s degree in Biostatistics, Statistics, Epidemiology, Data Science, Public Health, or related field; PhD preferred.
15+ years of clinical or health-related research experience for Master’s holders; 5+ years if PhD.

Responsibilities

Serve as lead biostatistician on research projects and provide statistical leadership across the study lifecycle.
Lead statistical and methodological design considerations for grant applications.
Prepare statistical reports, analytic summaries, and research deliverables for investigators and sponsors.
Collaborate on writing, reviewing, and editing manuscripts for peer‑reviewed journals and grants.
Develop advanced statistical programming solutions including SAS macros and R functions.

Skills

Survival analysis

Hierarchical models

Mixed-effects models

Clinical trial design

Structural equation modeling

Bayesian data analysis

Multivariate statistics

Longitudinal data analysis

Causal inference

Education

Master’s degree in Biostatistics or related field

PhD preferred

Tools

SAS

Job description

Employment Opportunities Designed to Help Us Collaborate in Creation!

Senior Biostatistician

Thank you for your interest in Loyola University Chicago. To view open positions, please enter your search criteria below. You may view all open positions by not specifying any search criteria and selecting the "Search" button.

Position Details

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 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 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
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 Date Position 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.

About Loyola University Chicago

Founded in 1870, Loyola University Chicago is one of the nation’s largest Jesuit, Catholic universities, recognized for its academic excellence, commitment to community engagement, and leadership in sustainability. A Carnegie R1 research institution, Loyola leverages its status as one of an elite group of universities with the highest level of research activity to advance knowledge that serves communities and creates global impact. With 15 schools, colleges, and institutes —including Business, Law, Medicine, Nursing, and Health Sciences—Loyola operates three primary campuses in the greater Chicago area and one in Rome, Italy, that provide students a transformative, globally connected learning experience. Consistently ranked among the nation’s top universities by U.S. News & World Report, Loyola is a STARS Gold-rated institution that is ranked as one of the country’s most sustainable campuses by The Princeton Review and has earned distinctions from AmeriCorps and the Carnegie Foundation for its longstanding record of service and community engagement. Guided by its Jesuit mission and commitment to caring for the whole person, Loyola educates ethical leaders who think critically, act with purpose, and strive to create a more just and sustainable world.

Loyola University Chicago strives to be an employer of choice by offering its staff and faculty a wide array of affordable, comprehensive, and competitive benefits. To view our benefits in detail, click here.

Loyola adheres to all applicable federal, state, and/or local civil rights laws and regulations prohibiting discrimination in private institutions of higher education. Please see the University’s Nondiscrimination Policy.

Supplemental Questions

Required fields are indicated with an asterisk (*).

Do you have a PhD degree in epidemiology, biostatistics, statistics, or a related field?
(Open Ended Question)
Why do you want to work for Loyola University Chicago?
(Open Ended Question)
How do your personal values align with Loyola University Chicago's mission and values?
(Open Ended Question)
How did you hear about this employment opportunity?
- Public Job Posting
- Internal Job Posting
- Agency Referral
- Advertisement/Publication
- Personal Referral
- Website
- Other