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Phd Statistician Jobs (NOW HIRING)

PhD from an accredited college/university with a major related to the task order, with emphasis in statistics, mathematics, fisheries, ecology, or the natural sciences. Must have a strong ...

PhD from an accredited college/university with a major related to the task order, with emphasis in statistics, mathematics, fisheries, ecology, or the natural sciences. Must have a strong ...

PHD preferred with strong foundation in statistics. * Provide in-depth statistical expertise in the areas of; experiment, protocol, case report form design, data base structure, and analysis plan ...

$85K - $130K/yr

Statistician III 5 years relevant experience with Bachelors in related field; 3 years relevant experience with Masters in related field; 0 years experience with PhD or Juris Doctorate in related ...

Statistician

Detroit, MI · On-site

$177K/yr

PhD in Statistics (or related field with extensive training in statistical methods), preferably with 6+ years industry experience * MS in Statistics (or related field with extensive training in ...

Statistician II

Rahway, NJ · On-site

$99K/yr

Education and Minimum Requirement: • Masters in statistics/biostatistics or related discipline with a minimum of 3 years relevant work experience, or PhD or equivalent degree in statistics ...

Masters or PhD in statistics, biostatistics, data science, computer science, or a relevant highly-quantitative social or behavioral science field. * Between 2-6 years of experience (depending on ...

Communicate statistical evaluations and results with the project team, client, and/or regulatory ... Master's degree or PhD a plus * Must pass drug test, physical, background check, and must have a ...

Statistician

Washington, DC · On-site

$100K - $120K/yr

Masters or PhD in statistics, biostatistics, data science, computer science, or a relevant highly-quantitative social or behavioral science field. * Between 2-6 years of experience (depending on ...

Masters or PhD in statistics, biostatistics, data science, computer science, or a relevant highly-quantitative social or behavioral science field. * Between 2-6 years of experience (depending on ...

Statistician III

Sacramento, CA · Hybrid

$114K - $172K/yr

PhD candidates are encouraged to apply TYPICAL EXPERIENCE: * 2 years of recent relevant experience ... knowledge of statistical analysis packages (including SAS, STATA, R, SQL). * Ability to work ...

Statistician III

Palo Alto, CA · Hybrid

$114K - $172K/yr

PhD candidates are encouraged to apply TYPICAL EXPERIENCE: * 2 years of recent relevant experience ... knowledge of statistical analysis packages (including SAS, STATA, R, SQL). * Ability to work ...

Statistician III

Walnut Creek, CA · On-site

$114K - $172K/yr

PhD candidates are encouraged to apply TYPICAL EXPERIENCE: * 2 years of recent relevant experience ... knowledge of statistical analysis packages (including SAS, STATA, R, SQL). * Ability to work ...

Statistician III

Walnut Creek, CA · Hybrid

$114K - $172K/yr

PhD candidates are encouraged to apply TYPICAL EXPERIENCE: * 2 years of recent relevant experience ... knowledge of statistical analysis packages (including SAS, STATA, R, SQL). * Ability to work ...

Bachelors degree in mathematics, statistics, physics, pharmacology or with a strong statistical component, Masters or PhD preferred. * 5-7 years of experience in the application of medical statistics ...

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Phd Statistician information

See salary details

$50.5K

$86.9K

$116.5K

How much do phd statistician jobs pay per year?

As of Jul 28, 2026, the average yearly pay for phd statistician in the United States is $86,921.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $98,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a PhD Statistician, and why are they important?

To thrive as a PhD Statistician, you need advanced expertise in statistical theory, data analysis, and research methodology, typically backed by a doctoral degree in statistics or a related field. Proficiency in statistical programming languages such as R, SAS, or Python, and experience with data management systems are commonly required. Strong critical thinking, communication, and problem-solving skills help you effectively interpret data and convey complex findings to diverse audiences. These skills are crucial for producing rigorous analyses, supporting evidence-based decisions, and advancing research in various industries.

What does a PhD Statistician do?

A PhD Statistician is an expert in the field of statistics who typically conducts advanced research, develops new statistical methods, and applies complex statistical techniques to solve real-world problems. They often work in academia, government, healthcare, or industry to design experiments, analyze data, and interpret results. Their work helps organizations make informed decisions based on quantitative evidence, and they may also publish research findings or teach at the university level.

What is the difference between Phd Statistician vs Data Scientist?

AspectPhd StatisticianData Scientist
Required CredentialsPhD in Statistics, Mathematics, or related fieldBachelor's or Master's in CS, Stats, or related; often includes certifications
Work EnvironmentResearch-focused, often in academia, government, or specialized industriesBusiness and tech companies, startups, analytics teams
Employer & Industry UsageResearch institutions, government agencies, pharmaceutical companiesTech firms, finance, marketing, e-commerce
Common Search & ComparisonYesYes

While both roles involve data analysis and statistical skills, a Phd Statistician typically focuses on advanced research, theoretical modeling, and complex statistical methods, often in academic or research settings. Data Scientists tend to apply a broader range of skills, including programming and machine learning, to solve practical business problems in industry. The choice depends on your career goals and preferred work environment.

How does a PhD Statistician typically collaborate with multidisciplinary teams in a research or industry setting?

PhD Statisticians often work closely with professionals from fields such as biology, engineering, medicine, or business to design studies, analyze data, and interpret results. They play a key role in translating complex statistical concepts for non-statistical team members, ensuring that analyses are both rigorous and relevant to project goals. Effective communication and project management skills are essential, as statisticians frequently participate in meetings, provide guidance on data collection, and help shape research questions to maximize the impact of statistical analysis.
More about Phd Statistician jobs
What cities are hiring for Phd Statistician jobs? Cities with the most Phd Statistician job openings:
What states have the most Phd Statistician jobs? States with the most job openings for Phd Statistician jobs include:
Infographic showing various Phd Statistician job openings in the United States as of July 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $86,921 per year, or $41.8 per hour.
Statistician

Other

Posted 18 days ago


Job description

*Position is Subject to Contract Award

POSITION DESCRIPTION:

Description of Duties:

  • Provide statistical analysis to inform management decisions.
  • Statistically analyze spatial and temporal variability in processes experienced by migrating salmon in river systems, especially survival and migration patterns through hydropower systems and across life cycles.
  • Analyze and generate relationships between fish responses (density, growth, survival, migration rate) and stressors in particular life stages.
  • Develop novel probabilistic mathematical and simulation models representing complex ecological and behavioral processes with modern statistical methods.
  • Provide statistical support to other researchers during study design and analysis; organize and curate ecological datasets relevant to mark-recapture modeling.
  • Document and share reproducible workflows and analytical protocols; publish reports and scientific papers and present at regional/national meetings and conferences.
  • Assist with field collection of fish and environmental data as needed (may involve riding in vehicles and/or boats).

EDUCATION & EXPERIENCE:

Required:

  • Education: PhD from an accredited college/university with a major related to the task order, with emphasis in statistics, mathematics, fisheries, ecology, or the natural sciences. Must have a strong quantitative background with a solid foundation and extensive coursework in statistics and probability.
  • Experience: Ten (10) or more years of experience related to the task order, including familiarity with the species and habitats managed by NOAA Fisheries in the West Coast region.

Desired:

  • Knowledge and experience in Bayesian statistics and mark-recapture methods is strongly preferred.
  • Advanced degree in a related field - may substitute for two (MS) or four (PhD) years of experience

CERTIFICATIONS:

Required:

  • Valid U.S. driver's license - required and maintained throughout the period of performance.
  • Public trust suitability; background investigation cleared prior to beginning performance.
  • Government-required training to be completed within 5 business days of start: NOAA IT Security, NOAA Safety, Sexual Assault/Sexual Harassment Prevention & Response (NAM 1330-52.222-70(b)(6)), and Records Management 101.

RESPONSIBILITIES:

Required (Deliverables):

  • All analyses conducted with accepted methods and QA/QC.
  • Reproducible analytical workflows documented; statistical scripts and methodologies shared via open-science platforms (e.g., GitHub).
  • Analysis products archived accessibly; final data and models shared via public scientific repositories or interactive research dashboards.
  • Published scientific papers and reports; regular communication with team members.
  • Written status reports and other ad hoc communications; participation in field tasks as needed.

SKILLS: 

Required:

  • Extensive experience in statistical modeling and data analysis; extensive experience conducting analyses and coding in R.
  • Experience with programs Stan and JAGS; experience with open-science concepts.
  • Strong computational skills, including ability to manipulate large environmental datasets within a command-line environment (e.g., Linux/shell scripting).
  • Familiarity interpreting or interfacing with C or C++ code within a scientific modeling context; familiarity with Google Suite and Microsoft Office.

Excellent verbal and written communication; experience writing reports and publishing peer-reviewed articles; able to work independently and on interdisciplinary teams