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Lead Statistical Analyst Jobs (NOW HIRING)

BridgeBio Pharma

Senior Statistical Geneticist

What You'll Do You will lead statistical genetics analyses of primarily population-scale genomics data to inform decisions about new business opportunities and advance internal development programs.

Genentech

Senior Principal Statistician

Boston, MA · On-site

$94K - $116K/yr

As trusted analytical partners in end-to-end drug development, Biostatistics leverages data to ... You lead statistical design and strategy for the molecule CDP, developing innovative approaches ...

Genentech

Senior Statistician

South San Francisco, CA · On-site

$136K - $254K/yr

As trusted analytical partners in end-to-end drug development, Biostatistics leverages data to ... You independently lead statistical input into clinical trial design, aligning with scientific ...

Genentech

Senior Statistician

Boston, MA · On-site

$136K - $254K/yr

As trusted analytical partners in end-to-end drug development, Biostatistics leverages data to ... You independently lead statistical input into clinical trial design, aligning with scientific ...

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Lead Statistical Analyst information

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How much do lead statistical analyst jobs pay per year?

As of Sep 9, 2026, the average yearly pay for lead statistical analyst in the United States is $123,849.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $153,500.00 per year, depending on experience, location, and employer.

What does a lead statistical analyst do?

A Lead Statistical Analyst oversees the design, execution, and interpretation of complex statistical analyses for an organization. They are responsible for leading a team of analysts, ensuring data integrity, selecting appropriate statistical methods, and communicating findings to stakeholders. Their work often supports decision-making in areas like business strategy, research, or product development. The role also involves mentoring junior analysts and collaborating with other departments to meet organizational goals.

What are the key skills and qualifications needed to thrive as a lead statistical analyst, and why are they important?

To thrive as a Lead Statistical Analyst, you need advanced statistical knowledge, expertise in data analysis, and a degree in statistics, mathematics, or a related field, often with experience in leadership roles. Proficiency with statistical software like SAS, R, Python, and familiarity with data visualization tools and database management systems is typically required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for interpreting complex data and guiding teams. These abilities ensure accurate analysis, actionable insights, and successful collaboration on data-driven projects.

What are some common challenges lead statistical analysts face when overseeing data projects, and how can they address them?

Lead Statistical Analysts often encounter challenges such as ensuring data integrity across multiple sources, managing tight project deadlines, and communicating complex statistical findings to non-technical stakeholders. Addressing these issues typically involves establishing robust data validation processes, setting clear project milestones, and collaborating closely with both data teams and business units. Strong leadership and effective communication skills are essential for navigating these challenges while maintaining high-quality analysis and fostering team collaboration.

What cities are hiring for Lead Statistical Analyst jobs?

Cities with the most Lead Statistical Analyst job openings:

What states have the most Lead Statistical Analyst jobs?

States with the most job openings for Lead Statistical Analyst jobs include:

What are popular job titles related to Lead Statistical Analyst jobs?

For Lead Statistical Analyst jobs, the most frequently searched job titles are:

Infographic showing various Lead Statistical Analyst job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $123,849 per year, or $59.5 per hour.

Lead Analyst - Quantitative Social Science Research

Washington, DC • Remote

BETA Systems International
IT Services • 1 - 10 employees
Learn more about BETA Systems Internationalexternal

Contractor

Posted 3 days ago

New

Job description

Location: Remote
Employment Type: Contract / Project-Based
Anticipated Period: October 2026 – September 2027
Company: The Brandon Green Management Group (BGMG)
Project: Federal Correctional Officer Retention AnalysisPosition Summary

BGMG is seeking is seeking a Lead Analyst to lead quantitative analysis for a federal workforce research project examining correctional officer attrition and monetary retention incentives.
**This role is pending subject to contract award**

The Lead Analyst will lead statistical analysis using R, including regression analysis and quasi-experimental designs (QEDs). The work is expected to include discrete-time survival analysis and staggered difference-in-differences analysis. The analyst must be able to assess model assumptions, adjust analytic methods when needed, document code, and explain complex findings in plain language.

Key Responsibilities
  • Serve as technical lead for quantitative research and statistical analysis.
  • Refine and expand government-provided analysis plans.
  • Conduct descriptive analysis of correctional officer attrition using workforce and payroll data covering 2001–2026.
  • Examine how attrition risk changes over an employee's career.
  • Analyze individual and institution-level factors associated with attrition.
  • Conduct discrete-time survival analysis, including logistic regression where appropriate.
  • Analyze relationships between monetary retention incentives and attrition.
  • Conduct staggered difference-in-differences or other appropriate quasi-experimental analyses.
  • Examine dose-response relationships between incentive levels and attrition.
  • Assess interactions involving institution characteristics such as rurality and security level.
  • Evaluate model assumptions and adjust statistical methods when supported by the data.
  • Conduct sensitivity, diagnostic, and robustness analyses as appropriate.
  • Write clean, documented, reproducible R code.
  • Prepare shareable R code that allows DOJ to replicate analyses.
  • Interpret statistical results and limitations.
  • Draft technical findings for interim and final reports.
  • Translate complex quantitative results into concise, plain-language findings for decision makers.
  • Support development of presentation materials for non-technical audiences.
  • Provide technical leadership to supporting researchers and analysts.

The solicitation places specific emphasis on deep quantitative expertise and the ability to adjust analytic techniques based on the available data rather than simply executing a predetermined model.

Minimum Qualifications

Candidates must meet one of the following education paths:

  • Doctor of Philosophy (Ph.D.) in statistics, economics, or another quantitative social science from an accredited institution; or
  • Master’s degree in statistics, economics, or another quantitative social science plus three additional years of related professional experience above the minimum requirement.

Candidates must also have:

  • At least 5 years of professional experience in applied quantitative social science research.
  • Expertise writing R code.
  • Experience implementing regression analyses in the context of quasi-experimental designs.
  • Experience serving as a team leader.
  • Experience translating complex quantitative findings into plain-language, concise findings.
Preferred Qualifications
  • Workforce or labor research experience.
  • Difference-in-differences analysis experience.
  • Survival or event-history analysis experience.
  • Experience analyzing longitudinal workforce, payroll, or administrative data.
  • Experience with non-random treatment assignment and observational research designs.
  • Experience with U.S. Government-funded research.
  • Experience preparing reproducible analytical code and documentation.
  • Experience presenting statistical findings to non-technical decision makers.
Application Requirements

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