ZipRecruiter

Log In

1

Causal Inference Phd Internship Jobs in Washington

Geico

Staff Data Scientist, Product

Bethesda, MD · On-site

$115K - $230K/yr

Causal Inference: Apply causal methods (difference-in-differences, synthetic control, instrumental ... MS or PhD in a quantitative discipline. Industry: Insurance or financial services experience.

GEICO

Staff Data Scientist, Product

Bethesda, MD · On-site

$115K - $230K/yr

... • Causal Inference: Apply causal methods (difference-in-differences, synthetic control ... MS or PhD in a quantitative discipline. • Industry: Insurance or financial services experience.

Geico

Senior Applied Research Scientist

Bethesda, MD · On-site

$115K - $230K/yr

Experimentation & Causal Inference: Design online experiments and quasi-experimental analyses ... Master's or PhD in Computer Science, Machine Learning, Statistics, Mathematics, or a related ...

GEICO

Senior Applied Research Scientist

Bethesda, MD · On-site

$115K - $230K/yr

Experimentation & Causal Inference: Design online experiments and quasi-experimental analyses ... Master's or PhD in Computer Science, Machine Learning, Statistics, Mathematics, or a related ...

Umd

Senior Faculty Specialist

College Park, MD · On-site

Familiarity with experimental design and causal inference methodologies *Familiarity with or ... Recent PhD in relevant field *Expertise in data analysis and machine learning, with experience ...

next page

Showing results 1-20

All JobsCausal Inference Phd JobsCausal Inference Phd Internship JobsCausal Inference Phd Internship Jobs in Washington

Causal Inference Phd Internship information

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 types of projects does a causal inference PhD intern 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?

AspectCausal Inference Phd InternshipData Scientist Internship
Required CredentialsPhD in statistics, economics, or related fieldBachelor's or Master's in CS, statistics, or related field
Work EnvironmentResearch-focused, academic or industry research teamsData analysis, modeling, and business insights
Employer & Industry UsageResearch institutions, tech companies, financeTech firms, startups, finance, healthcare
Search & Comparison IntentFocus on causal inference research rolesBroader 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 are popular job titles related to Causal Inference Phd Internship jobs in Washington?

For Causal Inference Phd Internship jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Causal Inference Phd Internship jobs in Washington look for?

The top searched job categories for Causal Inference Phd Internship jobs in Washington are:

What cities in Washington are hiring for Causal Inference Phd Internship jobs?

Cities in Washington with the most Causal Inference Phd Internship job openings:

Causal Inference Phd Internship jobs near you
Infographic showing various Causal Inference Phd Internship job openings in Washington as of August 2026, with employment types broken down into 8% Internship, 58% Full Time, 26% Part Time, 3% Temporary, and 5% Contract. Highlights an 73% Physical, 2% Hybrid, and 25% Remote job distribution.

Biostatistician with Security Clearance

Fairfax, VA • On-site

Blu Omega LLC
IT Services • 51 - 200 employees
Learn more about Blu Omega LLCexternal

$92K - $101K/yr

Other

Posted 3 days ago

New

Job description

Biostatistician Remote Blu Omega is seeking a Biostatistician to support a federal program focused on HIV surveillance, prevention, and genomics. This role operates within a remote environment and is responsible for statistical analysis, study methodology, surveillance analytics, program evaluation, and research efforts. The position requires experience supporting public health datasets, data modernization, and stakeholder engagement to improve health outcomes. Program Overview Supports CDC efforts with state and metro public health agencies, modernizing HIV data collection and analysis, and examining program effectiveness, HIV prevalence, resistance mutations, and outbreak clusters. Key Details Location: Remote Clearance: Public Trust Eligible Responsibilities * Lead development of statistical methodologies, analysis plans, sampling approaches, and population estimation strategies. * Provide technical oversight and peer review for analyses, models, and interpretation of findings. * Design and oversee complex analyses of surveillance, survey, claims, clinical, registry, and laboratory datasets. * Guide methodological decisions related to study design, causal inference, and evaluation frameworks. * Lead development and validation of statistical models, surveillance indicators, and population estimates. * Collaborate with epidemiologists, data scientists, and stakeholders to translate research questions into analytical approaches. * Address methodological considerations including bias, confounding, missing data, and statistical uncertainty. * Review and approve statistical deliverables, reports, publications, and presentations. * Communicate statistical findings to technical and non-technical stakeholders. * Mentor and provide technical leadership to team members. * Contribute to proposal development and business growth activities. Required Qualifications * U.S. Citizen or Permanent Resident with ability to obtain and maintain a Public Trust clearance. * Masters degree or PhD in Biostatistics, Statistics, Epidemiology, Mathematics, or related field. * Eight or more years of experience applying advanced biostatistical methods in public health, healthcare, or population health environments. * Experience serving as a lead statistician or senior methodological reviewer for complex analytics or research initiatives. * Proficiency in statistical inference, study design, power analysis, and population-level inference. * Experience with generalized linear models, mixed-effects models, survival analysis, longitudinal modeling, and causal inference techniques. * Skilled in designing and analyzing studies with complex survey designs. * Proficient in SAS and at least one additional statistical language such as R or Python. * Experience developing and reviewing SAPs, protocols, and scientific publications. * Experience working with large-scale health datasets, including surveillance, claims, clinical, and laboratory data. * Proven ability to lead technical workstreams and mentor multidisciplinary teams. Preferred Qualifications * PhD in Biostatistics, Statistics, Epidemiology, or related discipline. * Strong understanding of epidemiologic methods and public health research. * Ability to communicate complex concepts to diverse audiences. * Experience with Bayesian methods, machine learning, or AI-enabled analytics. * Experience supporting federal public health agencies or biomedical research programs. * Knowledge of cloud analytics environments such as Databricks, Snowflake, Azure, or AWS. * Experience supporting SAS-to-R or SAS-to-Python migration. * Familiarity with HIV surveillance data and processes. * Experience working with state public health agencies. * Leadership experience in multidisciplinary analytic teams. Compensation Salary Range: $92,000.00 - $101,000.00 Company Overview Blu Omega is a Woman-Owned Small Business (WOSB) delivering technology and cybersecurity solutions to federal agencies and enterprise clients nationwide. Headquartered in Ashburn, VA, we support mission-critical programs across civilian and defense sectors, including health, national security, and regulatory environments. We partner with government agencies and large integrators to provide expertise in cybersecurity operations, cloud and infrastructure modernization, data and analytics, and enterprise IT support. Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. #CJ #LI-Remote

Apply