PhD in Statistics, Biostatistics, Computer Science, Economics, or a related quantitative field. * Strong background in causal inference, statistical methodology, or machine learning. * Experience ...
PhD in Statistics, Biostatistics, Computer Science, Economics, or a related quantitative field. * Strong background in causal inference, statistical methodology, or machine learning. * Experience ...
Post Doctoral Fellow - Researcher in Causal Inference
Atlanta, GA · On-site
$47K - $64K/yr
PhD in Statistics, Biostatistics, Computer Science, Economics, or a related quantitative field. * Strong background in causal inference, statistical methodology, or machine learning. * Experience ...
Post Doctoral Fellow - Researcher in Causal Inference
Atlanta, GA · On-site
$47K - $64K/yr
PhD in Statistics, Biostatistics, Computer Science, Economics, or a related quantitative field. * Strong background in causal inference, statistical methodology, or machine learning. * Experience ...
PhD in Statistics, Biostatistics, Computer Science, Economics, or a related quantitative field. * Strong background in causal inference, statistical methodology, or machine learning. * Experience ...
PhD in Statistics, Biostatistics, Computer Science, Economics, or a related quantitative field. * Strong background in causal inference, statistical methodology, or machine learning. * Experience ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
Causal Inference Phd Internship information
What types of projects do Causal Inference PhD interns typically work on during their internship?
Causal Inference PhD interns often engage in projects that involve designing and analyzing experiments or observational studies to draw valid conclusions about cause-and-effect relationships. These projects might include developing statistical models, collaborating with data scientists and product teams, and presenting findings to inform business or policy decisions. Interns usually have the opportunity to work with large-scale, real-world data, and are encouraged to publish or present their work at conferences, supporting both professional growth and academic development.
What are the key skills and qualifications needed to thrive as a Causal Inference PhD Intern, and why are they important?
To thrive as a Causal Inference PhD Intern, you need a strong background in statistics, econometrics, and causal inference methods, often supported by advanced graduate studies in a related field. Familiarity with statistical programming languages such as R or Python, and experience using data analysis tools and frameworks like Stata or TensorFlow Probability, are typically required. Excellent problem-solving abilities, critical thinking, and the ability to communicate complex concepts clearly help you stand out in this role. These skills and qualities are crucial for designing robust experiments, drawing reliable conclusions, and effectively collaborating with interdisciplinary research teams.
What is the difference between Causal Inference Phd Internship vs Data Scientist Internship?
| Aspect | Causal Inference Phd Internship | Data Scientist Internship |
|---|---|---|
| Required Credentials | PhD in statistics, economics, or related field | Bachelor's or Master's in CS, statistics, or related field |
| Work Environment | Research-focused, academic or industry research teams | Data analysis, modeling, and business insights |
| Employer & Industry Usage | Research institutions, tech companies, finance | Tech firms, startups, finance, healthcare |
| Search & Comparison Intent | Focus on causal inference research roles | Broader data analysis roles |
While a Causal Inference Phd Internship emphasizes research in causal analysis with advanced credentials, a Data Scientist Internship covers broader data analysis skills suitable for various industries. Both roles involve working with data, but their focus, required background, and career paths differ significantly.
What is a Causal Inference PhD Internship?
A Causal Inference PhD Internship is a specialized research position for doctoral students focused on causal inference, which involves determining cause-and-effect relationships from data. Interns typically work with large datasets, advanced statistical models, and machine learning techniques to answer questions about how variables influence one another. These internships are often offered by tech companies, research labs, or policy organizations and provide hands-on experience in designing experiments, analyzing observational data, and developing new methodologies. The goal is to bridge academic research with real-world applications, contributing to projects that require rigorous causal analysis.
What are popular job titles related to Causal Inference Phd Internship jobs in Georgia? For Causal Inference Phd Internship jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Causal Inference Phd Internship jobs in Georgia look for? The top searched job categories for Causal Inference Phd Internship jobs in Georgia are:
What cities in Georgia are hiring for Causal Inference Phd Internship jobs? Cities in Georgia with the most Causal Inference Phd Internship job openings:
$47K - $64K/yr
Full-time
Posted 10 days ago
Emory Healthcare rating
7.8
Based on 214 frontline employees who took The Breakroom Quiz
131st of 890 rated healthcare providers
Job description
Discover Your Career at Emory University
Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community.
DescriptionThe Department of Biostatistics and Bioinformatics in the Rollins School of Public Health provides a supportive environment for postdoctoral scholars, offering access to mentoring, career development programming, and resources for professional growth. The postdoctoral researcher will have flexibility to develop their own research directions while benefiting from collaboration, computational support, and opportunities to participate in departmental seminars, working groups, and interdisciplinary research activities. This position is well suited for individuals preparing for academic careers in statistics, biostatistics, machine learning, or related fields. The postdoctoral researcher will be supervised by Dr. Razieh Nabi. For inquiries, please contact razieh.nabi@emory.edu .
JOB DESCRIPTION: We are seeking a Postdoctoral Researcher to contribute to both methodological and applied research in causal inference. The successful candidate will work on statistical and machine learning approaches for understanding causal relationships in complex data, with opportunities to pursue independent research as well as collaborative projects within the group.The position emphasizes methodological innovation in modern causal inference, while also engaging with applications in areas such as infectious diseases, environmental health, and public health that help motivate and shape the research. Potential topics include causal effect estimation, mediation analysis, longitudinal or observational data structures, policy learning, and methods for informative censoring and missing data. Methodological work may draw on tools from nonparametric and semiparametric inference, machine learning, graphical models, and related areas. The researcher will have flexibility to develop a research agenda that aligns with their interests and expertise.Responsibilities include conducting original research, preparing manuscripts for publication, presenting findings at conferences or seminars, and participating in collaborative activities within the research group or with external partners. The postdoc will also have opportunities to mentor students and to engage in broader scholarly activities that support their professional development.This position is well suited for a researcher interested in advancing the theory or practice of causal inference, building a strong publication record, and working in a supportive and collaborative academic environment.MINIMUM QUALIFICATIONS:
- A doctoral degree or equivalent (Ph.D., M.D., ScD., D.V.M., DDS etc) in an appropriate field.
- Excellent scientific writing ability and strong oral communication skills.
- The ability to work effectively and collegially with colleagues.
- Additional qualifications as specified by the Principal Investigator.
PREFERRED QUALIFICATIONS:
- PhD in Statistics, Biostatistics, Computer Science, Economics, or a related quantitative field.
- Strong background in causal inference, statistical methodology, or machine learning.
- Experience with nonparametric or semiparametric inference, graphical models, or high dimensional methods.
- Familiarity with handling missing data, censoring, or longitudinal/observational data.
- Demonstrated ability to conduct independent research and contribute to collaborative projects.
- Strong programming skills, and experience with reproducible research.
- Strong communication skills and a record of (or potential for) peer reviewed publications.
NOTE: Position tasks are generally required to be performed in-person at an Emory University location. Remote work from home day options may be granted at department discretion. Emory reserves the right to change remote work status with notice to employee.
Additional DetailsEmory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law. Emory University does not discriminate in admissions, educational programs, or employment, including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Students, faculty, and staff are assured of participation in university programs and in the use of facilities without such discrimination. Emory University complies with Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity, and affirmative action (for protected veterans and individuals with disabilities). Inquiries regarding this policy should be directed to the Emory University Department of Equity and Civil Rights Compliance, 201 Dowman Drive, Administration Building, Atlanta, GA 30322. Telephone: 404-727-9867 (V) | 404-712-2049 (TDD).
Emory University is committed to ensuring equal access and providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to seek a reasonable accommodation, please contact the Department of Accessibility Services at accessibility@emory.edu or call 404-727-9877 (Voice) | 404-712-2049 (TDD). We kindly ask that requests be made at least seven business days in advance to allow adequate time for coordination.
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Benefits
Hours and flexibility
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About Emory Health
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Industry
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Company size
10,000+ Employees
Headquarters location
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Year founded
1905