Any work experience gained during the completion of an MS/PhD degree will be considered as part of ... Experience with causal inference, particularly using structural equation modeling, is considered a ...
Any work experience gained during the completion of an MS/PhD degree will be considered as part of ... Experience with causal inference, particularly using structural equation modeling, is considered a ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. Search & Discovery ML : The Search and Discovery ...
Phd Causal Inference information
See Michigan salary details
$34.9K - $45.8K
1% of jobs
$45.8K - $56.8K
0% of jobs
$56.8K - $67.8K
2% of jobs
$67.8K - $78.8K
7% of jobs
$78.8K - $89.7K
11% of jobs
$91.5K is the 25th percentile. Wages below this are outliers.
$89.7K - $100.7K
24% of jobs
The median wage is $102.9K / yr.
$100.7K - $111.7K
24% of jobs
$116.9K is the 75th percentile. Wages above this are outliers.
$111.7K - $122.7K
12% of jobs
$122.7K - $133.6K
9% of jobs
$133.6K - $144.6K
2% of jobs
$144.6K - $155.6K
7% of jobs
$34.9K
$107.1K
$155.6K
How much do phd causal inference jobs pay per year?
As of Jul 4, 2026, the average yearly pay for phd causal inference in Michigan is $107,144.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $120,300.00 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 Michigan? For Phd Causal Inference jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Phd Causal Inference jobs in Michigan look for? The top searched job categories for Phd Causal Inference jobs in Michigan are:
Full-time
Posted 4 days ago
Wayne State University rating
7.6
Based on 20 frontline employees who took The Breakroom Quiz
248th of 544 rated colleges and universities
Job description
Research Associate - Department of Oncology
Wayne State University is searching for an experienced Research Associate - Department of Oncology at its Detroit campus location.
Wayne State is a premier, public, urban research university located in the heart of Detroit, Michigan where students from all backgrounds are offered a rich, high-quality education. Our deep-rooted commitment to excellence, collaboration, integrity, diversity and inclusion creates exceptional educational opportunities which prepare students for success in a global society.
Essential functions (job duties):
Perform laboratory based scientific techniques or clinical/population science (human subjects) research. Design and perform experiments, recruit participants for studies by developing surveys and interviewing candidates. Participate in implementing research objectives, ensuring compliance with all legal, regulatory and protocol guidelines. Assist staff with experiments /research protocols as required. Communicate with principal investigator and Postdoctoral scholars/fellows on the status of research.
Collect and log laboratory results, clinical outcomes and/or survey data. Evaluate and perform data analysis using graphs, charts or tables to highlight the key points of the research results collected in accordance with the research protocols as stipulated. Proofread and edit research data and documents to ensure accuracy.
Prepare and present presentations regarding research results for professional, scientific and academic conferences. Summarize and organize data results for submittal to academic and scholarly, peer-reviewed journals. Write scientific manuscripts and other documents for publication. Fact-check, proofread, and edit research documents to ensure accuracy.
Maintain the laboratory work areas including routine maintenance on laboratory equipment as required. Order and organize required research supplies and records. Maintain cleanliness and organization of work station.
Perform other related duties as assigned.
Unique duties:
Perform statistical and/or bioinformatics analysis and prepare reports based on plans devised by faculty members. - Assist in preparing manuscripts and abstracts, as well as proofreading accepted manuscripts prior to publication. - Stay up-to-date with statistical/bioinformatics and programming methodologies relevant to cancer research. - Implement assignments with excellence and work collaboratively with staff and faculty. - Compile information from clinical studies and report to ClinicalTrials.gov. - If required, participate in biostatistics/ bioinformatics educational activities related to cancer research for investigators, fellows, residents, and graduate students.
Qualifications:
Education: Bachelor's degree
Bachelor's degree in a related field of study, preferred. Requires advanced knowledge, predominantly intellectual in character, in a field of science or learning acquired by a prolonged course of specialized intellectual instruction.
Experience: Experienced (minimum 2 years of job-related experience)
Experience performing basic research techniques, preferred.
Knowledge, Skills and Abilities:
Ability to work independently. Ability to analyze, summarize and interpret research findings in reports and communicate results. Knowledge of scientific integrity principles. Excellent time management and organization skills. Excellent interpersonal skills and demonstrated ability to work with others in a collaborative environment. Microsoft office software skills.
Preferred qualifications:
Master's degree in Biostatistics, Statistics, Biomedical Informatics, Artificial Intelligence, Machine learning, or closely related discipline preferred. - At least 2 years of work experience with R programming, demonstrating excellent proficiency. Any work experience gained during the completion of an MS/PhD degree will be considered as part of this requirement. Statistical and/or bioinformatics work experience in collaborative medical research highly desirable. The candidate must be able to support cancer research across a wide range of biostatistical/bioinformatics domains, provide methodological guidance as needed, and assist with requests received through the Core. A strong desire to learn new statistical/bioinformatics methods is highly expected, given the evolving analytical needs of cancer research. Experience with causal inference, particularly using structural equation modeling, is considered a plus.
School/College/Division:
H06 - School of Medicine
Primary department:
H0632 - Oncology
Employment type:
Typical work environment may include a laboratory and/ or office environment. May require working non-standard business hours including evenings and weekends. May be required to travel to scientific conferences.
Job openings:
University policy requires certain persons who are offered employment to undergo a background check, including a criminal history check, before starting work. If you are offered employment, the university will inform you if a background check is required.
Wayne State University is searching for an experienced Research Associate - Department of Oncology at its Detroit campus location.
Wayne State is a premier, public, urban research university located in the heart of Detroit, Michigan where students from all backgrounds are offered a rich, high-quality education. Our deep-rooted commitment to excellence, collaboration, integrity, diversity and inclusion creates exceptional educational opportunities which prepare students for success in a global society.
Essential functions (job duties):
Perform laboratory based scientific techniques or clinical/population science (human subjects) research. Design and perform experiments, recruit participants for studies by developing surveys and interviewing candidates. Participate in implementing research objectives, ensuring compliance with all legal, regulatory and protocol guidelines. Assist staff with experiments /research protocols as required. Communicate with principal investigator and Postdoctoral scholars/fellows on the status of research.
Collect and log laboratory results, clinical outcomes and/or survey data. Evaluate and perform data analysis using graphs, charts or tables to highlight the key points of the research results collected in accordance with the research protocols as stipulated. Proofread and edit research data and documents to ensure accuracy.
Prepare and present presentations regarding research results for professional, scientific and academic conferences. Summarize and organize data results for submittal to academic and scholarly, peer-reviewed journals. Write scientific manuscripts and other documents for publication. Fact-check, proofread, and edit research documents to ensure accuracy.
Maintain the laboratory work areas including routine maintenance on laboratory equipment as required. Order and organize required research supplies and records. Maintain cleanliness and organization of work station.
Perform other related duties as assigned.
Unique duties:
Perform statistical and/or bioinformatics analysis and prepare reports based on plans devised by faculty members. - Assist in preparing manuscripts and abstracts, as well as proofreading accepted manuscripts prior to publication. - Stay up-to-date with statistical/bioinformatics and programming methodologies relevant to cancer research. - Implement assignments with excellence and work collaboratively with staff and faculty. - Compile information from clinical studies and report to ClinicalTrials.gov. - If required, participate in biostatistics/ bioinformatics educational activities related to cancer research for investigators, fellows, residents, and graduate students.
Qualifications:
Education: Bachelor's degree
Bachelor's degree in a related field of study, preferred. Requires advanced knowledge, predominantly intellectual in character, in a field of science or learning acquired by a prolonged course of specialized intellectual instruction.
Experience: Experienced (minimum 2 years of job-related experience)
Experience performing basic research techniques, preferred.
Knowledge, Skills and Abilities:
Ability to work independently. Ability to analyze, summarize and interpret research findings in reports and communicate results. Knowledge of scientific integrity principles. Excellent time management and organization skills. Excellent interpersonal skills and demonstrated ability to work with others in a collaborative environment. Microsoft office software skills.
Preferred qualifications:
Master's degree in Biostatistics, Statistics, Biomedical Informatics, Artificial Intelligence, Machine learning, or closely related discipline preferred. - At least 2 years of work experience with R programming, demonstrating excellent proficiency. Any work experience gained during the completion of an MS/PhD degree will be considered as part of this requirement. Statistical and/or bioinformatics work experience in collaborative medical research highly desirable. The candidate must be able to support cancer research across a wide range of biostatistical/bioinformatics domains, provide methodological guidance as needed, and assist with requests received through the Core. A strong desire to learn new statistical/bioinformatics methods is highly expected, given the evolving analytical needs of cancer research. Experience with causal inference, particularly using structural equation modeling, is considered a plus.
School/College/Division:
H06 - School of Medicine
Primary department:
H0632 - Oncology
Employment type:
- Regular Employee
- Job type: Full Time
- Job category: Research
- Compensation type: Annual Salary
- Hourly rate:
- Salary minimum:
- Salary hire maximum:
Typical work environment may include a laboratory and/ or office environment. May require working non-standard business hours including evenings and weekends. May be required to travel to scientific conferences.
Job openings:
- Number of openings: 1
- Reposted position: No
- Reposted reason: None (New Requisition)
- Prior posting/requisition number:
University policy requires certain persons who are offered employment to undergo a background check, including a criminal history check, before starting work. If you are offered employment, the university will inform you if a background check is required.
What Wayne State University employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Wayne State University
Sourced by ZipRecruiter
Industry
Colleges, universities, and professional schools
Company size
5,001 - 10,000 Employees
Headquarters location
Detroit, MI, US
Year founded
1868