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Manager Causal Inference Jobs in Chicago, IL (NOW HIRING)

Elevance Health

Principal Applied Scientist

Chicago, IL

$214K - $350K/yr

... management. * Translates complex business challenges into scalable artificial intelligence ... causal inference, experimentation, or decision intelligence preferred. * Experience in healthcare, ...

BMO Financial

Senior User Experience Researcher

Chicago, IL · On-site

$88K - $165K/yr

... causal inference to uncover customer insights and drive product decisions. Partnering closely with ... Take measured risks while protecting the bank by applying our Risk Management Framework in the ...

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How much do manager causal inference jobs pay per year?

As of Jul 20, 2026, the average yearly pay for manager causal inference in Chicago, IL is $107,728.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,400.00 and $120,000.00 per year, depending on experience, location, and employer.

How does a Manager of Causal Inference typically collaborate with cross-functional teams to drive impactful business insights?

Managers of Causal Inference frequently work alongside data scientists, product managers, engineers, and business leaders to design and execute experiments that reveal the true impact of business decisions. They translate complex statistical findings into actionable recommendations, ensuring stakeholders understand both the methodology and implications. Regularly, they lead discussions on experiment design, data collection strategies, and result interpretation, fostering a culture of evidence-based decision-making across the organization.

What does a Manager Causal Inference do?

A Manager Causal Inference leads teams that analyze data to determine cause-and-effect relationships, often in business, healthcare, or technology settings. They design experiments or use statistical methods to understand how different factors influence outcomes, helping organizations make data-driven decisions. This role typically involves managing projects, overseeing analysts or data scientists, and communicating findings to stakeholders. Strong expertise in statistics, data analysis, and leadership is essential for success in this position.

What are the key skills and qualifications needed to thrive as a Manager of Causal Inference, and why are they important?

To thrive as a Manager of Causal Inference, you need a deep understanding of statistics, econometrics, and experimental design, typically supported by an advanced degree in a quantitative field. Proficiency with data analysis tools such as R, Python, SQL, and specialized causal inference libraries, along with experience using data visualization and project management platforms, is crucial. Strong leadership, communication, and critical thinking skills help you effectively guide teams and translate complex findings to stakeholders. These skills ensure rigorous, actionable insights that drive strategic decision-making and organizational impact.
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Manager Causal Inference jobs near you
Senior Biostatistician

Senior Biostatistician

Loyola University Chicago

Chicago, IL • On-site

Full-time

Posted 10 days ago

Job description

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 Expertise
Formal 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 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.
Quick Link for Posting
https://www.careers.luc.edu/postings/35277

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