Careers
The Insurance Institute for Highway Safety (IIHS) is an independent, nonprofit scientific and educational organization dedicated to reducing deaths, injuries and property damage from motor vehicle crashes through research and evaluation and through education of consumers, policymakers and safety professionals.
The Highway Loss Data Institute (HLDI) shares and supports this mission through scientific studies of insurance data representing the human and economic losses resulting from the ownership and operation of different types of vehicles and by publishing insurance loss results by vehicle make and model.
Both organizations are wholly supported by auto insurers and insurance associations.
Compensation consists of a competitive salary and a 403(b) retirement plan with employer contributions. Other benefits include health insurance (with dental and vision coverage), life insurance, medical and dependent care flex spending accounts and three weeks of paid vacation in your first year.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. IIHS-HLDI participates in E-Verify.
Statistician
The Insurance Institute for Highway Safety (IIHS) seeks a Statistician to answer practical questions about how to improve safety on the roads and to support other researchers in this work. The position may be based in Arlington or Ruckersville, Virginia, and is eligible for up to 50% telework.
This role is for someone who wants to help guide the actions of agencies, communities and practitioners when it comes to safety. A statistician in this position will conduct studies, support internal and external partners, manage databases, publish findings and help build the evidence base for solutions that can reduce injuries and fatalities on our roadways.
Primary Duties
- Design and conduct studies about roadway safety issues
- Support other researchers with statistical advice, programming and analyses
- Maintain and update national and state-level databases of motor vehicle crashes and exposure, as well as other data collected by IIHS
- Respond to requests for summaries of such data from internal and external colleagues
- Publish findings in peer-reviewed journals and other outlets
- Present findings to technical and nontechnical audiences
- Contribute to the broader transportation safety community through collaborations, presentations and professional activities
Qualifications
- Graduate degree in statistics, data science, analytics or related field; Ph.D. preferred
- Experience conducting applied research in real-world settings
- Proficiency with SAS is required; familiarity with R is a plus
- Attention to detail and strong organizational skills
- Strong writing, verbal communication and interpersonal skills
- Ability to work both independently and as part of a collaborative team
Must be authorized or able to obtain authorization to work full time in the U.S. Position may be eligible for IIHS-HLDI-sponsored work visa.
Salary range: $93,000-$118,000
Compensation is based on experience level and office location.
To apply, email your resume to
[email protected]This link leads to the machine-readable files that are made available in response to the federal Transparency in Coverage Rule and includes negotiated service rates and out-of-network allowed amounts between health plans and healthcare providers. The machine readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data.
IIHS is committed to creating and fostering an environment of inclusion, equity, nondiscrimination and pluralism that is grounded in respect and appreciation for all, and promoting and celebrating individual and collective achievement. Discrimination against and harassment of applicants and employees on the basis of race; color; religion; creed; gender identity; gender expression; ancestry or national or ethnic origin; age; sex; sexual orientation; marital status; pregnancy, childbirth, or related medical conditions; reproductive health decisions; breastfeeding; disability; genetic information; military status; or any other category that is protected under applicable law is not tolerated.