Biostatistician Lead
Beavercreek, OH · On-site
Guide methodological decisions related to study design, causal inference, quasi-experimental ... Master's degree or PhD in Biostatistics, Statistics, Epidemiology (quantitative focus), Mathematics ...
Biostatistician Lead
Beavercreek, OH · On-site
Guide methodological decisions related to study design, causal inference, quasi-experimental ... Master's degree or PhD in Biostatistics, Statistics, Epidemiology (quantitative focus), Mathematics ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
Master's or PhD in a quantitative field and 10+ years of analytics experience. * Proven senior ... Causal inference and experimentation at scale (A/B testing, robust testing frameworks)
Master's or PhD in a quantitative field and 10+ years of analytics experience. * Proven senior ... Causal inference and experimentation at scale (A/B testing, robust testing frameworks)
Principal Carelon Research Biostatistician
Columbus, OH · On-site
$136K - $234K/yr
Requires a PhD and a minimum of 7 years of postdoctoral research experience or Masters degree and a ... causal inference, and experimental design preferred. * Experience supporting federally funded ...
Principal Carelon Research Biostatistician
Columbus, OH · On-site
$136K - $234K/yr
Requires a PhD and a minimum of 7 years of postdoctoral research experience or Masters degree and a ... causal inference, and experimental design preferred. * Experience supporting federally funded ...
Master's or PhD in a quantitative field and 10+ years of analytics experience. * Proven senior ... Causal inference and experimentation at scale (A/B testing, robust testing frameworks)
Master's or PhD in a quantitative field and 10+ years of analytics experience. * Proven senior ... Causal inference and experimentation at scale (A/B testing, robust testing frameworks)
Principal Carelon Research Biostatistician
Columbus, OH · On-site
$136K - $234K/yr
Requires a PhD and a minimum of 7 years of postdoctoral research experience or Masters degree and a ... causal inference, and experimental design preferred. * Experience supporting federally funded ...
Principal Carelon Research Biostatistician
Columbus, OH · On-site
$136K - $234K/yr
Requires a PhD and a minimum of 7 years of postdoctoral research experience or Masters degree and a ... causal inference, and experimental design preferred. * Experience supporting federally funded ...
Principal Carelon Research Biostatistician
Mason, OH · On-site
$136K - $234K/yr
Requires a PhD and a minimum of 7 years of postdoctoral research experience or Masters degree and a ... causal inference, and experimental design preferred. * Experience supporting federally funded ...
Principal Carelon Research Biostatistician
Mason, OH · On-site
$136K - $234K/yr
Requires a PhD and a minimum of 7 years of postdoctoral research experience or Masters degree and a ... causal inference, and experimental design preferred. * Experience supporting federally funded ...
Principal Carelon Research Biostatistician
Mason, OH · On-site
$136K - $234K/yr
Requires a PhD and a minimum of 7 years of postdoctoral research experience or Masters degree and a ... causal inference, and experimental design preferred. * Experience supporting federally funded ...
Principal Carelon Research Biostatistician
Mason, OH · On-site
$136K - $234K/yr
Requires a PhD and a minimum of 7 years of postdoctoral research experience or Masters degree and a ... causal inference, and experimental design preferred. * Experience supporting federally funded ...
Master's or PhD in a quantitative field and 10+ years of analytics experience. * Proven senior ... Causal inference and experimentation at scale (A/B testing, robust testing frameworks)
Master's or PhD in a quantitative field and 10+ years of analytics experience. * Proven senior ... Causal inference and experimentation at scale (A/B testing, robust testing frameworks)
Consumer Banking Data Scientist Director - American Dream
Columbus, OH · On-site
$171K - $245K/yr
Master's or PhD in a quantitative field and 10+ years of analytics experience. * Proven senior ... Causal inference and experimentation at scale (A/B testing, robust testing frameworks)
Consumer Banking Data Scientist Director - American Dream
Columbus, OH · On-site
$171K - $245K/yr
Master's or PhD in a quantitative field and 10+ years of analytics experience. * Proven senior ... Causal inference and experimentation at scale (A/B testing, robust testing frameworks)
Master's or PhD in a quantitative field and 10+ years of analytics experience. * Proven senior ... Causal inference and experimentation at scale (A/B testing, robust testing frameworks)
Master's or PhD in a quantitative field and 10+ years of analytics experience. * Proven senior ... Causal inference and experimentation at scale (A/B testing, robust testing frameworks)
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?
| Aspect | Causal Inference Phd Internship | Data Scientist Internship |
|---|---|---|
| Required Credentials | PhD in statistics, economics, or related field | Bachelor's or Master's in CS, statistics, or related field |
| Work Environment | Research-focused, academic or industry research teams | Data analysis, modeling, and business insights |
| Employer & Industry Usage | Research institutions, tech companies, finance | Tech firms, startups, finance, healthcare |
| Search & Comparison Intent | Focus on causal inference research roles | Broader 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 Ohio?
For Causal Inference Phd Internship jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Causal Inference Phd Internship jobs in Ohio look for?
The top searched job categories for Causal Inference Phd Internship jobs in Ohio are:
What cities in Ohio are hiring for Causal Inference Phd Internship jobs?
Cities in Ohio with the most Causal Inference Phd Internship job openings:
Full-time
Medical, Dental, Vision, Life, Retirement
Posted 7 days ago
Guidehouse rating
8.0
Based on 28 frontline employees who took The Breakroom Quiz
33rd of 72 rated business consultants
Job description
Job Family:
Data Science & Analysis
Travel Required:
Clearance Required:
What You Will Do:
Guidehouse is seeking a Biostatistics Lead to provide technical leadership and oversight across statistical analysis, study methodology, surveillance analytics, program evaluation, and research efforts within our Health AI/Data practice. This individual will serve as the senior statistical authority responsible for ensuring methodological rigor, analytical quality, reproducibility, and scientific defensibility across complex public health and healthcare analytics initiatives. The Biostatistics Lead will collaborate closely with epidemiologists, data scientists, informaticists, and client stakeholders to guide statistical approaches, review analytical products, and support evidence-based decision making.
Serve as the lead biostatistical advisor across surveillance, research, evaluation, and advanced analytics initiatives.
Lead development of statistical methodologies, Statistical Analysis Plans (SAPs), analytic protocols, sampling approaches, weighting methodologies, and population estimation strategies.
Provide technical oversight and peer review for statistical analyses, analytic code, modeling approaches, assumptions, and interpretation of findings.
Design and oversee complex analyses of surveillance, survey, claims, clinical, registry, laboratory, and other real-world health datasets.
Guide methodological decisions related to study design, causal inference, quasi-experimental methods, observational studies, and evaluation frameworks.
Lead development and validation of statistical models, surveillance indicators, outcome measures, performance metrics, and population-level estimates.
Partner with epidemiologists, researchers, and data scientists to translate research and policy questions into statistically rigorous analytic approaches.
Evaluate and address methodological considerations including bias, confounding, missing data, selection effects, variance estimation, and statistical uncertainty.
Review and approve statistical deliverables, technical reports, publications, presentations, and dissemination products prior to release.
Lead interpretation and communication of statistical findings to technical, scientific, operational, and executive stakeholders.
Mentor and provide technical leadership to biostatisticians, epidemiologists, analysts, and data scientists.
Contribute to proposal development, solution design, thought leadership, and business development activities requiring advanced statistical expertise.
Role is contingent upon contract award
What You Will Need:
Must be a U.S. Citizen or Permanent Resident. and ability to obtain and maintain a Public Trust clearance.
Master's degree or PhD in Biostatistics, Statistics, Epidemiology (quantitative focus), Mathematics, or related quantitative discipline.
EIGHT (8) or more years of professional experience applying advanced biostatistical methods within public health, healthcare, surveillance, clinical research, life sciences, or population health environments.
Experience serving as a lead statistician, technical lead, senior reviewer, or methodological advisor for complex analytics, surveillance, evaluation, or research initiatives.
Experience in statistical inference, hypothesis testing, study design, power analysis, sample size determination, variance estimation, and population-level inference.
Experience in applying advanced statistical methodologies including generalized linear models, mixed-effects models, multilevel/hierarchical models, survival analysis, longitudinal modeling, interrupted time series (ITS), difference-in-differences (DiD), propensity score methods, causal inference techniques, survey-weighted analyses, variance estimation, missing data methods, sensitivity analyses, and population-level estimation.
Experience designing and analyzing studies utilizing complex survey designs, including stratification, clustering, weighting, nonresponse adjustment, and variance estimation.
Experience in statistical programming using SAS and at least one additional statistical language such as R or Python.
Experience developing and reviewing Statistical Analysis Plans (SAPs), methodology documents, study protocols, publication-quality analyses, and scientific manuscripts.
Experience reviewing analytic code, statistical outputs, and analytical approaches for methodological accuracy, reproducibility, and scientific rigor.
Experience working with large-scale surveillance, claims, clinical, registry, laboratory, electronic health record (EHR), or observational health datasets.
Experience leading technical workstreams and mentoring multidisciplinary analytic teams.
What Would Be Nice To Have:
PhD in Biostatistics, Statistics, Epidemiology, or related quantitative discipline.
Strong understanding of epidemiologic methods and application of biostatistics to surveillance, public health research, and program evaluation.
Proven ability to communicate complex statistical concepts and findings to both technical and non-technical audiences.
Experience serving as lead statistician or senior methodological reviewer for large public health, healthcare, or research programs.
Experience with Bayesian statistical methods, hierarchical Bayesian modeling, machine learning, predictive modeling, or AI-enabled analytics.
Experience conducting real-world evidence (RWE) studies using observational healthcare datasets.
Experience supporting federal public health agencies, healthcare organizations, or biomedical research programs.
Experience developing weighting methodologies and population estimation approaches for surveillance, survey, or public health studies.
Experience supporting peer-reviewed scientific publications and conference presentations.
Experience with cloud analytics environments such as Databricks, Snowflake, Azure, AWS, or Palantir Foundry.
Experience supporting SAS-to-R or SAS-to-Python migration and statistical validation efforts.
Experience with HIV surveillance processes and data.
Experience working with state public health agencies.
Experience leading multidisciplinary analytic teams in consulting, research, or government environments.
What We Offer:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Parental Leave
401(k) Retirement Plan
Group Term Life and Travel Assistance
Voluntary Life and AD&D Insurance
Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
Transit and Parking Commuter Benefits
Short-Term & Long-Term Disability
Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Care.com annual membership
Employee Assistance Program
Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
Position may be eligible for a discretionary variable incentive bonus
About Guidehouse
Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
What Guidehouse employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Guidehouse
Sourced by ZipRecruiter
Industry
Business management consulting
Company size
10,000+ Employees
Headquarters location
Falls Church, VA, US
Year founded
2005