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Phd In Epidemiology Jobs in California (NOW HIRING)

Zipongo

Clinical Research Scientist

San Francisco, CA · On-site

PhD in nutrition, physiology, public health, psychology, biomedical science, epidemiology, biostatistics, or a related field. * 4+ years statistics experience with SPSS, python, R, or similar tool.

Zipongo

Clinical Research Scientist

San Francisco, CA · On-site

PhD in nutrition, physiology, public health, psychology, biomedical science, epidemiology, biostatistics, or a related field. * 4+ years statistics experience with SPSS, python, R, or similar tool.

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Phd In Epidemiology information

What is the difference between Phd In Epidemiology vs Epidemiologist?

AspectPhd In EpidemiologyEpidemiologist
Required CredentialsDoctoral degree (PhD) in Epidemiology or related fieldBachelor's or Master's degree, often with relevant experience
Work EnvironmentAcademic, research institutions, or advanced research rolesPublic health agencies, hospitals, research organizations
Industry UsagePrepares for research, teaching, or policy development rolesConducts disease surveillance, outbreak investigations, and data analysis

While a Phd In Epidemiology focuses on advanced research, teaching, and policy development, an Epidemiologist typically conducts disease investigations and data analysis in public health settings. Both roles require a strong background in epidemiology, but the PhD prepares for higher-level research and academic positions, whereas epidemiologists work directly in disease control and prevention.

Are Phd in epidemiology in high demand?

PhD holders in epidemiology are in high demand in public health agencies, research institutions, and healthcare organizations, especially during health crises like pandemics. They often require strong analytical skills, knowledge of statistical tools, and experience with data modeling, making them valuable for disease surveillance, policy development, and research roles.

Is a PhD in epidemiology worth it?

A PhD in epidemiology prepares individuals for research, academia, and public health roles, often leading to higher-level positions and increased earning potential. However, it requires significant time, effort, and investment, and job opportunities may be competitive depending on the sector and geographic location.

What can you do with a PhD in epidemiology?

A PhD in epidemiology prepares individuals for research, teaching, and leadership roles in public health, academia, government agencies, and healthcare organizations. Graduates often work as epidemiologists, public health analysts, or policy advisors, utilizing skills in data analysis, study design, and statistical software. Advanced positions may require additional certifications or experience in biostatistics or health policy.

What are popular job titles related to Phd In Epidemiology jobs in California?

For Phd In Epidemiology jobs in California, the most frequently searched job titles are:

What job categories do people searching Phd In Epidemiology jobs in California look for?

The top searched job categories for Phd In Epidemiology jobs in California are:

Phd In Epidemiology jobs near you
Infographic showing various Phd In Epidemiology job openings in California as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution.

Principal Research Data Scientist

Jobtailor

San Francisco, CA • On-site

$120 - $180/hr

Other

Re-posted 6 days ago

Job description

Responsibilities
  • Own research projects end-to-end, from study design through analysis, interpretation, and publication.
  • Design and run observational and quasi-experimental studies on real-world hospital data.
  • Analyze complex clinical and operational datasets and stand behind the methods.
  • Collaborate with frontline clinicians, health system executives, customer success, go-to-market, and data science teams to develop new research questions, weigh in on product decisions, and lead outcomes and impact studies tied to health system partnerships.
Requirements
  • PhD in statistics, biostatistics, epidemiology, or a related field.
  • At least 2 years of (non-PhD) experience conducting observational health research using large healthcare databases.
  • Background in epidemiology or outcomes research.
  • Deep expertise in causal inference on observational data: difference-in-differences, regression discontinuity, interrupted time series, propensity methods.
  • Fluency in Python, including the ability to wrangle large, observational clinical datasets.
  • A track record of owning analyses or full research projects independently.
Core Competencies

Demonstrates expertise in designing and conducting observational health research, with a strong focus on causal inference methods and the ability to analyze complex clinical datasets using Python. Proven track record of leading research projects from inception to publication while collaborating effectively with diverse teams.

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