The current staff of 38 includes statisticians, database administrators, data managers, software ... for causal inference, and statistical monitoring approaches. In addition, successful candidates ...
The current staff of 38 includes statisticians, database administrators, data managers, software ... for causal inference, and statistical monitoring approaches. In addition, successful candidates ...
Excellent time management and organization skills. Excellent interpersonal skills and demonstrated ... Experience with causal inference, particularly using structural equation modeling, is considered a ...
Excellent time management and organization skills. Excellent interpersonal skills and demonstrated ... Experience with causal inference, particularly using structural equation modeling, is considered a ...
Data Scientist
Dearborn, MI · On-site
$128K - $186K/yr
... causal inference, using relevant data science libraries and frameworks (Scikit-learn, XGBoost ... management leases • Tuition assistance • Established and active employee resource groups • ...
Data Scientist
Dearborn, MI · On-site
$128K - $186K/yr
... causal inference, using relevant data science libraries and frameworks (Scikit-learn, XGBoost ... management leases • Tuition assistance • Established and active employee resource groups • ...
Senior Data Analyst
Detroit, MI · On-site +1
$96K - $132K/yr
Strong understanding of A/B testing, experimental design, and causal inference techniques. * Experience with MLOps practices, including model deployment, monitoring, and lifecycle management in ...
Senior Data Analyst
Detroit, MI · On-site +1
$96K - $132K/yr
Strong understanding of A/B testing, experimental design, and causal inference techniques. * Experience with MLOps practices, including model deployment, monitoring, and lifecycle management in ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
Data Scientist
Dearborn, MI · On-site +1
$128K - $186K/yr
... managed machine learning services. 3. A/B testing design, implementation, and analysis, and ... causal inference, using relevant data science libraries and frameworks (Scikit-learn, XGBoost ...
Data Scientist
Dearborn, MI · On-site +1
$128K - $186K/yr
... managed machine learning services. 3. A/B testing design, implementation, and analysis, and ... causal inference, using relevant data science libraries and frameworks (Scikit-learn, XGBoost ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
Manager Causal Inference information
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.
What are the most commonly searched types of Causal Inference jobs in Michigan? The most popular types of Causal Inference jobs in Michigan are:
What are popular job titles related to Manager Causal Inference jobs in Michigan? For Manager Causal Inference jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Manager Causal Inference jobs in Michigan look for? The top searched job categories for Manager Causal Inference jobs in Michigan are:
What cities in Michigan are hiring for Manager Causal Inference jobs? Cities in Michigan with the most Manager Causal Inference job openings:
Associate Director of Clinical Trials Unit/Associate Professor Position
University of MichiganAnn Arbor, MI • On-site
Full-time
Posted 8 days ago
University Of Michigan rating
8.1
Based on 140 frontline employees who took The Breakroom Quiz
131st of 538 rated colleges and universities
Job description
Description
The Department of Biostatistics at the University of Michigan is seeking an experienced biostatistician to help lead the Statistical Analysis of Biomedical and Educational Research (SABER) group as Associate Director. Begun in 1999, SABER is the data coordinating center (DCC) for several NIH-funded networks and multicenter trials and cohort studies. The areas of application include pulmonology, diabetes, cardiovascular disease, neurology, rheumatology, and emergency medicine. The current staff of 38 includes statisticians, database administrators, data managers, software developers, project managers, clinical monitors and research administrators.
The Associate Director will be appointed as a senior faculty member in the Department of Biostatistics at the Associate or Full Professor level in research track. Rank will be commensurate with experience. Applicants must have a Ph.D. or equivalent degree. The Associate Director will work closely with the SABER Director to effectively run the SABER unit by streamlining operations and budgets and implementing new ideas. The Associate Director will collaborate with clinician-scientists to identify ideas for sponsored research, and on the submission of applications for their funding. Generous salary and start-up support are available.
The Department of Biostatistics has 43 primary faculty members and 230 full-time PhD and Master's students. The Department is involved in cutting edge methodological research and scientific investigation in many areas of public health and biomedical research. The Department has close ties with the Department of Statistics, the Institute for Social Research, the Medical School, the Michigan Institute for Data Science, The Institute of Health Policy and Innovation, the University of Michigan Rogel Cancer Center, and other research groups across campus. Approximately 80% of SABER's portfolio is in collaboration with University of Michigan Medical School faculty.
The University of Michigan offers competitive salaries and excellent benefits. Ann Arbor is a progressive city of about 120,000 year-round residents, and approximately 44,000 students, with excellent schools and a wide variety of sporting and musical activities. It is rated very highly in national surveys for its quality of life and has the amenities of a city many times its size.
The University of Michigan is an affirmative action/equal opportunity employer. Applications from women and minorities are welcomed and strongly encouraged.
Qualifications
Candidates must have substantial experience designing and leading large, multicenter clinical research network projects, involving clinical trials, cohort studies, or registries. They must have experience working in cross-functional study teams, including those functions necessary for successful and innovative data coordinating centers, such as data management systems and operations, reporting for data monitoring committees, clinical research coordination and clinical monitoring, and quality control procedures. They should have a track record of research in an area related to clinical trials or cohort studies, such as adaptive designs, methods for missing data, analytical procedures for causal inference, and statistical monitoring approaches. In addition, successful candidates should have excellent communication skills and administrative acumen, and the ability to work effectively in a clinical and academic environment.
Underfill Statement: The rank of the selected candidate will depend upon the candidate's qualifications. For more information regarding appointment criteria for these job titles, please visit https://research.umich.edu/appointments-promotions#9.
Application Instructions
Consideration of applications will begin on a rolling basis. Interested applicants should submit their CV, a statement of research interest, the names of three references, and academic transcripts (if a recent graduate).
The Department of Biostatistics at the University of Michigan is seeking an experienced biostatistician to help lead the Statistical Analysis of Biomedical and Educational Research (SABER) group as Associate Director. Begun in 1999, SABER is the data coordinating center (DCC) for several NIH-funded networks and multicenter trials and cohort studies. The areas of application include pulmonology, diabetes, cardiovascular disease, neurology, rheumatology, and emergency medicine. The current staff of 38 includes statisticians, database administrators, data managers, software developers, project managers, clinical monitors and research administrators.
The Associate Director will be appointed as a senior faculty member in the Department of Biostatistics at the Associate or Full Professor level in research track. Rank will be commensurate with experience. Applicants must have a Ph.D. or equivalent degree. The Associate Director will work closely with the SABER Director to effectively run the SABER unit by streamlining operations and budgets and implementing new ideas. The Associate Director will collaborate with clinician-scientists to identify ideas for sponsored research, and on the submission of applications for their funding. Generous salary and start-up support are available.
The Department of Biostatistics has 43 primary faculty members and 230 full-time PhD and Master's students. The Department is involved in cutting edge methodological research and scientific investigation in many areas of public health and biomedical research. The Department has close ties with the Department of Statistics, the Institute for Social Research, the Medical School, the Michigan Institute for Data Science, The Institute of Health Policy and Innovation, the University of Michigan Rogel Cancer Center, and other research groups across campus. Approximately 80% of SABER's portfolio is in collaboration with University of Michigan Medical School faculty.
The University of Michigan offers competitive salaries and excellent benefits. Ann Arbor is a progressive city of about 120,000 year-round residents, and approximately 44,000 students, with excellent schools and a wide variety of sporting and musical activities. It is rated very highly in national surveys for its quality of life and has the amenities of a city many times its size.
The University of Michigan is an affirmative action/equal opportunity employer. Applications from women and minorities are welcomed and strongly encouraged.
Qualifications
Candidates must have substantial experience designing and leading large, multicenter clinical research network projects, involving clinical trials, cohort studies, or registries. They must have experience working in cross-functional study teams, including those functions necessary for successful and innovative data coordinating centers, such as data management systems and operations, reporting for data monitoring committees, clinical research coordination and clinical monitoring, and quality control procedures. They should have a track record of research in an area related to clinical trials or cohort studies, such as adaptive designs, methods for missing data, analytical procedures for causal inference, and statistical monitoring approaches. In addition, successful candidates should have excellent communication skills and administrative acumen, and the ability to work effectively in a clinical and academic environment.
Underfill Statement: The rank of the selected candidate will depend upon the candidate's qualifications. For more information regarding appointment criteria for these job titles, please visit https://research.umich.edu/appointments-promotions#9.
Application Instructions
Consideration of applications will begin on a rolling basis. Interested applicants should submit their CV, a statement of research interest, the names of three references, and academic transcripts (if a recent graduate).
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About University of Michigan
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The University of Michigan (U-M), based in Ann Arbor, MI, US, is one of America's most esteemed institutions in higher education. Established in 1817, it presides in the industry of education and research, providing a range of services including undergraduate, graduate, and professional education programs. Complementing this is an extensive research activity that has significantly contributed to various fields, from healthcare to engineering, humanities to sports. Upholding its mission "to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values", U-M consistently ranks among the top universities globally, a testament to its tradition of excellence in learning and research, and a deep commitment to innovation and discovery.
Industry
Colleges, universities, and professional schools
Company size
10,000+ Employees
Headquarters location
Ann Arbor, MI, US
Year founded
1817