Senior Statistician

Integrated Business & Technical Consultants, Inc. (IBTCI), a U.S. based international development consulting company established in 1987, has worked in over 100 countries and implemented over 300 projects. IBTCI serves government agencies, private sector companies, and several donor agencies. IBTCI specializes in monitoring, evaluation, research, and learning (MERL) and institutional support across many areas and sectors including, but not limited to, conflict and crisis, democracy and governance, agriculture, economic growth, food security, education, environment, and global health.

Position Title: Senior Statistician

Department: Institutional Support Program Implementation (ISPI)

Location: Washington, DC / Vienna, VA (Hybrid / Remote)

Report To: Principal Investigator / Project Director

Type: Consultancy (Estimated 800 hours/year under BPA Schedule)

Classification: Consultant

Overview:

IBTCI seeks a Senior Statistician for an anticipated multi-year Clearinghouse for Labor Evaluation and Research (CLEAR) Project funded by the U.S. Department of Labor (DOL) Chief Evaluation Office (CEO). The position is contingent upon contract award.

General Duties and Responsibilities:

The Senior Statistician serves as the principal quantitative and statistical authority on the CLEAR project, responsible for overseeing advanced meta-analytic models, effect size computations, attrition calculations, quantitative descriptive guidelines, and statistical audits across all evidence review streams.

Primary responsibilities include but are not limited to:

• Provide high-level statistical direction for CLEAR evidence review projects, resolving complex statistical challenges concerning clustering, baseline equivalence, missing data imputation, unit of analysis issues, and multiple comparison corrections.

• Lead and conduct advanced statistical meta-analyses, meta-regressions, and core components analyses across pooled labor evaluation datasets to assess intervention effectiveness, subgroup variations, and effect moderators.

• Develop and standardize algorithms, code scripts, and calculators for standardizing effect sizes (e.g., Hedges' g, odds ratios, Cox proportional hazards coefficients) across diverse econometric and psychometric study specifications.

• Collaborate with the PI and DOL CEO to maintain and update CLEAR's Quantitative Descriptive Guidelines, Causal Evidence Guidelines, and Regression Discontinuity Design (RDD) standards.

• Establish validation protocols for verifying attrition thresholds, differential attrition models, and covariate balance requirements under CLEAR standards.

• and support exploratory pilots applying machine learning and AI models (e.g., text mining, automated screening classifiers, data extraction algorithms) to streamline CLEAR review pipelines.

• Interface with external Technical Working Groups (TWG) and DOL statisticians to defend methodological rating criteria, adjudicate disputed study scores, and draft technical methodology memos.

Minimum Education / Experience:

• A minimum of ten(10) years of advanced professional experience in applied statistics, biostatistics, econometrics, or quantitative social science research, specializing in evaluation design and synthesis.

• Demonstrated track record of executing advanced meta-analyses, hierarchical linear modeling (HLM), meta-regressions, and econometric causal inference techniques.

• Fluency in attrition, baseline equivalence, clustering adjustments, and regression discontinuity checks; What Works Clearinghouse certified reviewer preferred.

• Familiarity with evidence clearinghouse statistical standards (e.g., CLEAR, What Works Clearinghouse Version 4.1/5.0 standards, Campbell Collaboration).

• Advanced computational proficiency using statistical software packages (R, Stata, Python, or SAS), including scripting reproducible analytical workflows.

• Familiarity with emerging applications of natural language processing (NLP), machine learning, or large language models to evidence synthesis and systematic reviews.

• Ph.D. in Statistics, Biostatistics, Econometrics, Quantitative Psychology, or related quantitative field, OR Master's degree in quantitative discipline with a minimum of ten (10) years of relevant statistical evaluation experience.

Operational & Working Conditions:

• Work is conducted at Contractor's office or remotely

• Sedentary office position involving extended computer screen time, analytical programming, and virtual technical meetings. Ability to lift up to 20 lbs.

• Supervises statistical analysts and quantitative research assistants on analytical subtasks.

• Limited domestic travel as needed for in-person DOL technical briefings or TWG workshops

Legal & Compliance Notices:

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

IBTCI is an Equal Employment Opportunity (EEO) employer. This means that IBTCI is committed to a policy of equal employment opportunity for all persons without regard to race, color, religion, sex (gender and gender identity), sexual orientation, national origin, age, protected veteran status, disabled status, genetic information, or any other classification protected by applicable anti-discrimination laws. We prohibit discrimination and harassment in all employment practices and decisions, and we comply with all applicable federal, state, and local nondiscrimination laws.

If you are an applicant with a disability that requires a reasonable accommodation to complete any part of the application process or are limited in the ability, or unable to use the online application system and need an alternative method for applying, you may contact Talent Acquisition at talentacquisition@ibtci.com.