Implementing modern causal-inference strategies (e.g., target-trial emulation, robust confounding ... PhD or equivalent doctoral degree in a relevant discipline (health services research, epidemiology ...
Implementing modern causal-inference strategies (e.g., target-trial emulation, robust confounding ... PhD or equivalent doctoral degree in a relevant discipline (health services research, epidemiology ...
Implementing modern causal-inference strategies (e.g., target-trial emulation, robust confounding ... PhD or equivalent doctoral degree in a relevant discipline (health services research, epidemiology ...
Implementing modern causal-inference strategies (e.g., target-trial emulation, robust confounding ... PhD or equivalent doctoral degree in a relevant discipline (health services research, epidemiology ...
Advanced degree (Master's or PhD) in a quantitative field such as computer engineering, statistics ... Strong background in statistics, forecasting, or causal inference. * Hands‑on experience ...
Advanced degree (Master's or PhD) in a quantitative field such as computer engineering, statistics ... Strong background in statistics, forecasting, or causal inference. * Hands‑on experience ...
Senior AI and Data Scientist
Austin, TX · On-site
$150K - $185K/yr
Advanced degree (Master's or PhD) in a quantitative field such as computer engineering, statistics ... Strong background in statistics, forecasting, or causal inference. * Hands-on experience ...
Senior AI and Data Scientist
Austin, TX · On-site
$150K - $185K/yr
Advanced degree (Master's or PhD) in a quantitative field such as computer engineering, statistics ... Strong background in statistics, forecasting, or causal inference. * Hands-on experience ...
Staff Data Scientist
Austin, TX · On-site
$145K - $205K/yr
Advanced degree (Master's or PhD) in a quantitative field such as computer engineering, statistics ... Strong background in statistics, forecasting, or causal inference. * Hands-on experience ...
Staff Data Scientist
Austin, TX · On-site
$145K - $205K/yr
Advanced degree (Master's or PhD) in a quantitative field such as computer engineering, statistics ... Strong background in statistics, forecasting, or causal inference. * Hands-on experience ...
Implementing modern causal-inference strategies (e.g., target-trial emulation, robust confounding ... PhD or equivalent doctoral degree in a relevant discipline (health services research, epidemiology ...
Implementing modern causal-inference strategies (e.g., target-trial emulation, robust confounding ... PhD or equivalent doctoral degree in a relevant discipline (health services research, epidemiology ...
Advanced degree (Master's or PhD) in a quantitative field such as computer engineering, statistics ... Strong background in statistics, forecasting, or causal inference. * Hands‑on experience ...
Advanced degree (Master's or PhD) in a quantitative field such as computer engineering, statistics ... Strong background in statistics, forecasting, or causal inference. * Hands‑on experience ...
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 ...
Senior Data Scientist
Houston, TX · On-site
Master's or PhD in Computer Science, Statistics, Applied Mathematics, Data Science, Engineering, or ... Strong foundation in statistics, experimental design, and causal inference * Experience working ...
Senior Data Scientist
Houston, TX · On-site
Master's or PhD in Computer Science, Statistics, Applied Mathematics, Data Science, Engineering, or ... Strong foundation in statistics, experimental design, and causal inference * Experience working ...
Postdoctoral Fellow - Imaging Genetics
Austin, TX · On-site
$48K - $65K/yr
... causal inference • Identifying cell types and programs associated with disease progression • ... Qualifications Required Qualifications • PhD (or equivalent) in statistical genetics ...
Postdoctoral Fellow - Imaging Genetics
Austin, TX · On-site
$48K - $65K/yr
... causal inference • Identifying cell types and programs associated with disease progression • ... Qualifications Required Qualifications • PhD (or equivalent) in statistical genetics ...
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 Texas salary details
$37.3K - $49K
1% of jobs
$49K - $60.7K
0% of jobs
$60.7K - $72.5K
2% of jobs
$72.5K - $84.2K
7% of jobs
$84.2K - $95.9K
11% of jobs
$97.8K is the 25th percentile. Wages below this are outliers.
$95.9K - $107.6K
24% of jobs
The median wage is $109.9K / yr.
$107.6K - $119.4K
24% of jobs
$125K is the 75th percentile. Wages above this are outliers.
$119.4K - $131.1K
12% of jobs
$131.1K - $142.8K
9% of jobs
$142.8K - $154.6K
2% of jobs
$154.6K - $166.3K
7% of jobs
$37.3K
$114.5K
$166.3K
How much do phd causal inference jobs pay per year?
As of Jul 26, 2026, the average yearly pay for phd causal inference in Texas is $114,527.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,800.00 and $128,600.00 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 Texas? For Phd Causal Inference jobs in Texas, the most frequently searched job titles are:
- Biostatistician Internship
- Statistical Geneticist
- Remote Postdoctoral Hydrology
- Volunteer Crispr
- Permanent Extracellular Vesicle Research
- Remote Extracellular Vesicle Research
- Volunteer Cardiology Research Fellow
- Postdoctoral Position Computational Chemistry
- Full Time Extracellular Vesicle Research
- Postdoctoral Educational Leadership
What job categories do people searching Phd Causal Inference jobs in Texas look for? The top searched job categories for Phd Causal Inference jobs in Texas are:
What cities in Texas are hiring for Phd Causal Inference jobs? Cities in Texas with the most Phd Causal Inference job openings:
Full-time
Posted 24 days ago
UTMB Health rating
7.3
Based on 168 frontline employees who took The Breakroom Quiz
263rd of 890 rated healthcare providers
Job description
DEPT MARKETING STATEMENT:
UTMB's new Center for Health and Clinical Outcomes Research (H-COR) seeks Research Scientists to advance decision-grade evidence from real-world data to study and understand human health. H-COR leverages Epic EHR (Clarity/Caboodle and Cosmos), TriNetX, Medicare and other administrative data. H-COR has an interest in pairing outcomes research with secure, principled integration of high-dimensional modalities (e.g., transcriptomics, proteomics, pathogen genomics). Also of interest is the utilization of novel data sources including those derived from social media, mobile phones, wearables, and other digital sources. Researchers at H-COR collaborate across all five UTMB schools
JOB DESCRIPTION:
Conducts innovative scientific investigation by developing theories and devising scientific methods and procedures to apply scientific principles, theories and research in projects related to the mission of UTMB. Committed to the discovery of new innovative biomedical and health services knowledge leading to increasingly effective and accessible health care. Assures competence as a fully trained scientist in a specific discipline or area of expertise.
ESSENTIAL JOB FUNCTIONS:
MINIMUM QUALIFICATIONS:
Ph. D, M.D, D.O., or D.V.M in related field and one year of related experience.
PREFERRED QUALIFICATIONS:
SALARY:
Commensurate with experience.
EQUAL EMPLOYMENT OPPORTUNITY:
UTMB Health strives to provide equal opportunity employment without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, genetic information, disability, veteran status, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. As a Federal Contractor, UTMB Health takes affirmative action to hire and advance protected veterans and individuals with disabilities.
UTMB's new Center for Health and Clinical Outcomes Research (H-COR) seeks Research Scientists to advance decision-grade evidence from real-world data to study and understand human health. H-COR leverages Epic EHR (Clarity/Caboodle and Cosmos), TriNetX, Medicare and other administrative data. H-COR has an interest in pairing outcomes research with secure, principled integration of high-dimensional modalities (e.g., transcriptomics, proteomics, pathogen genomics). Also of interest is the utilization of novel data sources including those derived from social media, mobile phones, wearables, and other digital sources. Researchers at H-COR collaborate across all five UTMB schools
JOB DESCRIPTION:
Conducts innovative scientific investigation by developing theories and devising scientific methods and procedures to apply scientific principles, theories and research in projects related to the mission of UTMB. Committed to the discovery of new innovative biomedical and health services knowledge leading to increasingly effective and accessible health care. Assures competence as a fully trained scientist in a specific discipline or area of expertise.
ESSENTIAL JOB FUNCTIONS:
- Leading and contributing to high-impact health and clinical outcomes research
- Planning and performing advanced data analyses using UTMB's exceptional data infrastructure, with particular emphasis on electronic health record (EHR) data including EPIC, EPIC Cosmos, TriNetX, and Medicare administrative datasets
- Building transparent cohort definitions and phenotypes using ICD-10/PCS, CPT/HCPCS, LOINC, and RxNorm
- Implementing modern causal-inference strategies (e.g., target-trial emulation, robust confounding control, time-to-event and longitudinal models, principled handling of missingness, falsification and sensitivity analyses)
- Collaborating across UTMB's schools on defined research programs
- Contributing to abstracts, manuscripts, and grant applications as PI/Co-I or key personnel
- Integrating clinical timelines with multi-omics and other high-dimensional data while preserving clinical interpretability and privacy
- Presenting research at professional meetings and conferences
- Participating in H-COR's monthly works-in-progress seminars
MINIMUM QUALIFICATIONS:
Ph. D, M.D, D.O., or D.V.M in related field and one year of related experience.
PREFERRED QUALIFICATIONS:
- PhD or equivalent doctoral degree in a relevant discipline (health services research, epidemiology, biostatistics, data science, computer science, or a closely related field)
- A track record in health and clinical outcomes methods
- Demonstrated expertise analyzing clinical and population-health data with specific experience in EHR analytics
- Proficiency with large healthcare databases (Epic, Epic Cosmos, TriNetX, Medicare)
- Fluency in at least two of R, Python, SAS, and SQL
- Excellent scientific writing and communication
- Evidence of peer-reviewed publications commensurate with career stage
- Experience with OMOP and HL7 FHIR data models
- Hands-on practice with target-trial emulation and advanced propensity and longitudinal methods
- Clinically oriented NLP and time-aware feature extraction
- Familiarity with multi-omics data structures and cautious EHR-omics linkage
- Experience in HPC or cloud settings (e.g., TACC, Azure, AWS) and workflow engines that promote end-to-end reproducibility
- Mentorship of analysts or trainees
- A record of effective, cross-disciplinary collaboration in an academic health-sciences environment
SALARY:
Commensurate with experience.
EQUAL EMPLOYMENT OPPORTUNITY:
UTMB Health strives to provide equal opportunity employment without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, genetic information, disability, veteran status, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. As a Federal Contractor, UTMB Health takes affirmative action to hire and advance protected veterans and individuals with disabilities.
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