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Phd Causal Inference Jobs in Goleta, CA (NOW HIRING)

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Phd Causal Inference information

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$43.2K

$132.6K

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How much do phd causal inference jobs pay per year?

As of Aug 14, 2026, the average yearly pay for phd causal inference in Goleta, CA is $132,635.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,300.00 and $148,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a PhD causal inference researcher?

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 cities near Goleta, CA are hiring for Phd Causal Inference jobs?

Cities near Goleta, CA with the most Phd Causal Inference job openings:

Phd Causal Inference jobs near you

Postdoctoral Researcher-- Foundations of a Resilient Microbiome (2 Positions)

University of California Santa Barbara

Santa Barbara, CA • On-site

Other

Re-posted 7 days ago

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Job description

Position description
The University of California, Santa Barbara (UCSB) California NanoSystems Institute (CNSI) invites applications for two (2) Postdoctoral Research positions in machine learning and computational modeling, focused on identifying pathways involving the gut-brain axis that link the infant microbiome with neurodevelopment and Autism Spectrum Disorder (ASD). This project is part of the Wellcome Leap FORM initiative: Foundations of a Resilient Microbiome (Wellcome Leap Form) and involves closed-loop collaborations between experiments, modeling, and lived experiences (Wellcome Leap Awards).
Statistical and dynamical models will be developed based on metabolomic and metagenomic data obtained from experiments conducted in UCSB's ExFAB BioFoundry for Extreme and Exceptional Fungi, Archea, and Bacteria (ExFAB website) in parallel with the modeling effort. Perturbation, dynamic trajectory, stability, and resilience analysis will follow a closed-loop format linking AI and dynamical models with experimental protocols and outcomes. The successful candidate will contribute to this work with freedom to pursue creative interests related to the project. They will have access to the broad multidisciplinary research environment at UCSB, including the REAL AI initiative, which focuses on developing AI-powered digital twins for complex systems, the Departments of Physics, Ecology, Evolution and Marine Biology, Psychology and Brain Sciences, the College of Engineering, and the Koegel Autism Center. Link to REAL Al website.
Qualifications
Basic qualifications (required at time of application)
Applicants must have completed all requirements for a PhD (or equivalent) in Physics, Computer Science, Bioengineering, Ecology, or a related field, except the dissertation, at the time of application.
Additional qualifications (required at time of start)
PhD in Physics, Computer Science, Bioengineering, Ecology, or a related field required at the time of appointment.
Preferred qualifications
• Coding fluency in Python for machine learning and statistical analyses.
• Excellent statistical and/or causal inference skills.
• Experience with modeling and statistical analysis of metagenomic and metabelomic data.
• Strong background in ecological theory and modeling.
• Experience leading peer-reviewed publications and/or reports.
• Excellent communication and collaboration skills, with an ability to work effectively in a multidisciplinary team.
Application Requirements
Document requirements
  • Curriculum Vitae - Your most recently updated C.V.
  • Cover Letter
  • Statement of Research

Reference requirements
  • 3 letters of reference required
Apply link: https://recruit.ap.ucsb.edu/JPF03089
Help contact: alexis_torres@ucsb.edu
About UC Santa Barbara
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
  • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination as defined by the employer.
  • UC Sexual Violence and Sexual Harassment Policy
  • UC Anti-Discrimination Policy for Employees, students and third parties
  • APM - 035: Affirmative Action and Nondiscrimination in Employment

Additionally, you will be required to comply with the University of California Policy on Vaccination Programs , as may be amended or revised from time to time. Federal, state, or local public health directives may impose additional requirements.
The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.
Job location
Santa Barbara, CA

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