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Phd Statistics Jobs in Washington (NOW HIRING)

Mathematics & Statistics Support Time Type: Part time FLSA Status: Non-Exempt Summary: Quantitative ... Tutoring positions are open to both undergraduate, graduate, and PhD students. * We welcome ...

Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field. * Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or ...

Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field. * Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or ...

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field (PhD preferred for some roles) * 5+ years of experience in data science or a related field

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field (PhD preferred for some roles) * 5+ years of experience in data science or a related field

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field (PhD preferred for some roles) * 5+ years of experience in data science or a related field

Showing results 21-40

Phd Statistics information

See Washington salary details

$25.2K

$99.7K

$184.7K

How much do phd statistics jobs pay per year?

As of Aug 19, 2026, the average yearly pay for phd statistics in Washington is $99,715.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,367.00 and $130,450.00 per year, depending on experience, location, and employer.

What is a PhD statistics?

A PhD Statistics job typically involves conducting advanced statistical research, developing new methodologies, and applying statistical techniques to solve complex problems in various fields such as healthcare, finance, or technology. Professionals in these roles may work in academia, government, or industry, analyzing data, designing experiments, and publishing findings. They often collaborate with interdisciplinary teams to extract insights from large datasets and improve decision-making processes.

What are the key skills and qualifications needed to thrive in a PhD statistics position?

To thrive as a PhD in Statistics, you need advanced knowledge of statistical theory, data analysis, and research methodologies, typically backed by a doctorate in statistics or a closely related field. Expertise with statistical software such as R, SAS, Python, or MATLAB, along with experience in data management systems, is crucial. Strong problem-solving abilities, clear communication, and the capacity to work both independently and as part of interdisciplinary teams are highly valued soft skills. These qualities enable you to devise rigorous solutions to complex data challenges, effectively collaborate with colleagues, and translate findings for stakeholders.

What are the typical projects or research areas for someone with a PhD in statistics?

A PhD in Statistics often works on projects involving the design and analysis of experiments, predictive modeling, advanced data analytics, and the development of new statistical methodologies. Depending on the industry, these may span sectors like healthcare, finance, technology, or government, requiring collaboration with diverse teams of subject matter experts. The role may also involve publishing research, presenting findings, and supporting organizational decision-making with evidence-based insights. This dynamic environment allows statisticians to solve real-world problems and continuously learn new analytical techniques.

How much does a PhD statistician make?

A PhD statistician typically earns between $80,000 and $150,000 annually, depending on experience, industry, and location. Senior roles or positions in finance, technology, or healthcare can offer higher salaries, especially with specialized skills in statistical programming and data analysis tools.

Is a PhD in statistics worth it?

A PhD in statistics can lead to advanced roles in research, data analysis, and academia, often requiring strong analytical and programming skills in tools like R or Python. While it offers high-level expertise and potential for higher salaries, it also involves significant time and financial investment, and job prospects depend on industry demand and individual specialization.

What can I do with a PhD in statistics?

A PhD in statistics prepares individuals for advanced roles in data analysis, research, and modeling across industries such as healthcare, finance, technology, and government. Graduates often work as data scientists, quantitative analysts, research scientists, or statisticians, utilizing skills in statistical software, programming, and data interpretation. These roles typically require strong analytical abilities and knowledge of statistical methods and tools like R, Python, or SAS.

What are the most commonly searched types of Phd Statistics jobs in Washington?

The most popular types of Phd Statistics jobs in Washington are:

What are popular job titles related to Phd Statistics jobs in Washington?

For Phd Statistics jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Phd Statistics jobs in Washington look for?

The top searched job categories for Phd Statistics jobs in Washington are:

What cities in Washington are hiring for Phd Statistics jobs?

Cities in Washington with the most Phd Statistics job openings:

Infographic showing various Phd Statistics job openings in Washington as of August 2026, with employment types broken down into 77% Full Time, 15% Part Time, 2% Temporary, and 6% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $99,715 per year, or $47.9 per hour.

2027 PhD Graduate - Advanced Kinetic Weapons Engineer

Johns Hopkins Applied Physics Laboratory

Laurel, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Johns Hopkins Applied Physics Laboratory rating

9.6

Company rating: 9.6 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

2nd of 73 rated research


Job description

Description
Are you a dedicated problem-solver who is curious about algorithms for guided air vehicles? Are you interested in simulating highly complex physics problems and applying advanced data science to understand the results? Would you like to learn about the newest and most innovative missile defense technologies? If so, we want you to join our team and help us evaluate and advance new technologies that protect our nation!
The Weapon Systems Engineering group is seeking a technical professional to help us address complex engineering challenges for advanced missile defense systems. We are a team of experts whose goals are to conceive and assess real-world missile systems, perform laboratory / field testing, conduct in-depth analysis of post-processed data, and present findings to sponsors and the war-fighter.
As an Advanced Kinetic Weapons Engineer:
  • Your primary responsibility will be to generate and analyze simulated guided missile data through the use of high-fidelity and mixed-fidelity simulations and statistical analysis tools.
  • You will evaluate the performance of various existing and future interceptor systems, examining EO/IR and RF seeker operations, guidance and control performance, fire control sensor handover processes, missile proximity fuzing, and warhead efficacy.
  • Verify and validate simulations against requirements and real world data to obtain formal accreditation.
  • Present key findings to various government sponsors including the U.S. Navy and Missile Defense Agency (MDA), among others.
  • Make an impact on decisions and future designs for the systems that keep our war-fighters safe!

Qualifications
You meet our minimum qualifications for this job if you:
  • Have a PhD degree, or soon to be awarded PhD, in an Engineering field, Computer Science, Math or Physics
  • Have demonstrated skills in data analysis of simulated large-scale dynamical systems such as possibly autonomous or piloted aircraft, or guided missiles, or related kinetic systems
  • Have demonstrated an ability to craft clear and concise visualizations of analyzed data and explain the important outcomes to a wider audience
  • Have experience with high-performance computing clusters (HPC) scripting or usage such as SLURM or Univa Grid Engine
  • Have exposure to software verification, validation and accreditation (VV&A) testing
  • Exposure to advanced system engineering methods and MBSE tools such as SysML, Cameo, Rhapsody, etc. is a plus
  • Have exposure to scientific computing, data analysis, or a background in statistics and/or stochastic processes through classwork, projects, or internships
  • Are proficient in MATLAB or a similar scientific computing language such as SciPy or Julia
  • Are comfortable working in a Linux OS environment
  • Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain a Top Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

You'll go above and beyond the minimum requirements if you:
  • Some experience with advanced architectures and wargaming software such as AFSIM, Command PE, etc. would be advantageous.
  • Hold an active security clearance with the ability to obtain a higher level clearance

About Us
Why Work at APL?
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.
At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers.
All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accessibility@jhuapl.edu.
The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.
Minimum Rate
$105,000 Annually
Maximum Rate
$245,000 Annually

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