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Phd Causal Inference Jobs in Minnesota (NOW HIRING)

Candidates are expected to have a deep understanding of causal inference, bias mitigation, and ... Advising PhD, post-doctoral, and master's students is also expected. * Actively engage in service ...

MS or PhD in Statistics, Applied Mathematics, Computer Science, or other quantitative fields * 2+ ... and causal inference * Strong Python skills with experience in libraries such as: pandas, scikit ...

Phd Causal Inference information

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$39.2K

$120.4K

$174.8K

How much do phd causal inference jobs pay per year?

As of May 31, 2026, the average yearly pay for phd causal inference in Minnesota is $120,397.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,800.00 and $135,200.00 per year, depending on experience, location, and employer.

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

To thrive as a PhD Causal Inference researcher, you need advanced knowledge of statistics, econometrics, and causal modeling, typically supported by a doctoral degree in a quantitative field. Familiarity with statistical programming languages (such as R or Python), specialized software (like STATA or SAS), and experience with experimental or quasi-experimental methods are essential. Strong analytical thinking, attention to detail, and the ability to communicate complex findings clearly make a candidate stand out. These skills ensure rigorous, credible research that can inform policy, product development, or scientific understanding by accurately identifying causal relationships.

What collaborative opportunities can a PhD specializing in Causal Inference expect within a multidisciplinary research team?

PhD professionals in Causal Inference frequently collaborate with experts from fields such as epidemiology, economics, computer science, and public health. They often work closely with data scientists, subject matter experts, and statisticians to design studies, interpret complex datasets, and develop robust analytical models. This multidisciplinary environment fosters continuous learning and often leads to co-authorship on research publications, participation in grant writing, and involvement in high-impact policy or product decisions. Effective communication and teamwork skills are essential to translate technical findings for diverse audiences and drive actionable insights.

What is a PhD in Causal Inference?

A PhD in Causal Inference is an advanced research degree focused on understanding and identifying cause-and-effect relationships using statistical and computational methods. Students in this field learn to design studies, analyze data, and develop new methodologies to answer complex causal questions in areas such as social sciences, medicine, economics, and artificial intelligence. Graduates often work in academia, research institutions, or industries where evidence-based decision-making is essential.
What are popular job titles related to Phd Causal Inference jobs in Minnesota? For Phd Causal Inference jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Phd Causal Inference jobs in Minnesota look for? The top searched job categories for Phd Causal Inference jobs in Minnesota are:
What cities in Minnesota are hiring for Phd Causal Inference jobs? Cities in Minnesota with the most Phd Causal Inference job openings:
Post-Doctoral Associate

$65K - $75K/yr

Full-time

Medical, Dental, Life, Retirement

Posted 14 days ago


Job description

About the Job
 

The Division of Biostatistics & Health Data Science (BHDS) in the School of Public Health at the University of Minnesota is seeking applications for a full-time Post-Doctoral Associate position. 
Position Description: The Post-Doc will work with Dr. Joe Koopmeiners (https://directory.sph.umn.edu/bio/sph-a-z/joseph-koopmeiners), Dr. David Vock (https://directory.sph.umn.edu/bio/sph-a-z/david-vock), and their collaborators, and will be a member of the Minnesota Complex Innovative Design Research Lab (M-CIDeR; https://sites.google.com/umn.edu/m-cider/home). Research will focus on developing, implementing, and applying novel statistical methods for causal inference motivated by tobacco regulatory science, with a specific focus of understanding the public health impact of a nationwide nicotine standard for cigarettes. Specific topics include detecting and evaluating treatment effect heterogeneity, causally interpretable meta-analysis, data integration, and sensitivity analysis. The successful candidate will also have the opportunity to collaborate on the implementation of and methodological development of complex, innovative clinical trial designs through M-CIDeR. Specific responsibilities will include theoretical development, simulation studies, data analysis, interpretation of results, presentation of results, and manuscript preparation.
Duration: This annually renewable appointment is for 1-2 years, possibly extendable to year 3, conditional on satisfactory performance and funding availability.
Starting Date: Negotiable - the position will remain open until filled.

Salary range: $65,000 - $75,000 annually, dependent upon the selected candidates relevant qualifications, experience, and internal equity.

Work Arrangements: The University of Minnesota endorses a Work. With Flexibility. and we offer a flexible work environment that meets the needs of our students, faculty, staff, and partners we serve. The successful candidate will be provided University-configured equipment and supportive technology tools, however, they are expected to have access to a reliable internet connection for duties undertaken remotely. Work arrangements will be discussed during the interview. Onsite location: University Office Plaza, 2221 University Ave SE, Minneapolis, Twin Cities Campus - East-bank

Qualifications
 

Required Qualifications:

  • PhD in biostatistics, statistics, or a related discipline
     

Preferred Qualifications:

  • Prior research in causal inference or innovative trial design and analysis
About the Department
 

BHDS (https://www.sph.umn.edu/academics/divisions/biostatistics/) currently includes 35 faculty members and 61 staff. Faculty regularly publish in the top methodological journals across all major biostatistical  research areas, including causal inference, clinical trials, statistical genetics, bioinformatics, genomics and proteomics, analysis of spatial and longitudinal data, biomedical imaging, survival analysis, meta-analysis and data synthesis, and mobile health. Division faculty are active in a wide range of collaborative research projects including high-profile studies of cancer, cardiovascular disease, infectious disease, dentistry and periodontology, psychiatry/psychology, transplantation, chronic and neurodegenerative diseases, and tobacco control. The Divisions Coordinating Center for Biometric Research (CCBR; https://ccbr.biostat.umn.edu/) is considered a field leader in clinical trial coordination and has been instrumental in designing and executing seminal vaccine and treatment trials in HIV/AIDS, Ebola, influenza, and COVID-19. Several Division faculty have leadership roles in major cross-disciplinary initiatives, including the Biostatistical Design and Analysis Center (BDAC) of the Clinical and Translational Science Institute and the Biostatistics Core of the Masonic Cancer Center (https://ctsi.umn.edu/services/statistical-support/biostatistical-support), the Analytics Core of the Masonic Institute for the Developing Brain (https://midb.umn.edu/research/analytics), the Innovative Methods and Data Science (https://med.umn.edu/clhss/activities/imds) and RapidEval Programs (https://med.umn.edu/clhss/activities/rapideval) in the Center for Learning Health Systems Sciences, and the Genomics Data Commons (https://www.sph.umn.edu/research/centers/genomic-data-commons/).
 

Pay and Benefits
 

Pay Range: $65,000 - $75,000 per year; depending on education/qualifications/experience 

Time Appointment: 100% Appointment

Position Type: Faculty and P&A Staff 

Please visit the Office of Human Resources website for more information regarding benefit eligibility.

The University offers a comprehensive benefits package that includes:

  • Competitive wages, paid holidays, and generous time off
  • Continuous learning opportunities through professional training and degree-seeking programs supported by the Regents Tuition Benefit Program
  • Low-cost medical, dental, and pharmacy plans
  • Healthcare and dependent care flexible spending accounts
  • University HSA contributions
  • Disability and employer-paid life insurance
  • Employee wellbeing program
  • Excellent retirement plans with employer contribution
  • Public Service Loan Forgiveness (PSLF) opportunity
  • Financial counseling services 
  • Employee Assistance Program with eight sessions of counseling at no cost
  • Employee Transit Pass with free or reduced rates in the Twin Cities metro area

While our salary ranges provide a framework, it is important to note that most of the
time, the initial pay may not reach the maximum of the range. This approach ensures
that compensation reflects the value and unique contributions of each candidate while
maintaining equity within our organization. As part of our commitment to fair and
equitable compensation, please be aware that the salary offered to incoming candidates
will be based on their individual credentials and experience.

The University of Minnesota offers a comprehensive benefits package. For more information visit: https://hr.umn.edu/Jobs/Applicant-Center/About-Working-U/Benefits-Working-U-M

How To Apply
 

Applications must be submitted online.  To be considered for this position, please click the Apply button and follow the instructions.  You will be given the opportunity to complete an online application for the position and attach a cover letter and resume.

Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section.

Required attachments: Cover letter and curriculum vitae.

To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-8647.

Questions? Inquiries are welcome and should be directed (preferably along with CV) to Dr. Koopmeiners (koopm007@umn.edu) and Dr. Vock (vock@umn.edu) by email.

Diversity
 

The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission.  The University is committed to attracting and retaining employees with varying identities and backgrounds.

The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression.  To learn more about diversity at the U:  http://diversity.umn.edu

Employment Requirements
 

Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.

About University of Minnesota
 

The University of Minnesota, Twin Cities (UMTC)

The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.

At the University of Minnesota, we are proud to be recognized by the Star Tribune as a Top Workplace for 2021, as well as by Forbes as Best Employers for Women and one of Americas Best Employers (2015, 2018, 2019, 2023), Best Employer for Diversity (2019, 2020), Best Employer for New Grads (2018, 2019), and Best Employer by State (2019, 2022).