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Phd Causal Inference Jobs in Washington, DC (NOW HIRING)

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

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

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

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

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 ...

Principal Data Scientist

Gaithersburg, MD · On-site

$175K - $210K/yr

Advanced degree (MS or PhD) in a quantitative field -- biology, computer science, engineering, or ... Causal inference experience -- a significant differentiator for this role * NLP/LLM expertise ...

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Phd Causal Inference information

See Washington, DC salary details

$45.3K

$139.2K

$202.2K

How much do phd causal inference jobs pay per year?

As of Sep 2, 2026, the average yearly pay for phd causal inference in Washington, DC is $139,228.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,900.00 and $156,300.00 per year, depending on experience, location, and employer.

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 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 are popular job titles related to Phd Causal Inference jobs in Washington, DC?

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

Infographic showing various Phd Causal Inference job openings in Washington, DC as of August 2026, with employment types broken down into 9% Internship, 75% Full Time, 6% Part Time, and 10% Contract. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $139,228 per year, or $66.9 per hour.

Biostatistician with Security Clearance

Blu Omega LLC

Fairfax, VA • On-site

$92K - $101K/yr

Other

This job post has expired 2 days ago. Applications are no longer accepted.


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