1

Phd In Statistics Jobs in Colorado (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

next page

Showing results 1-20

Phd In Statistics information

What is the difference between Phd In Statistics vs Data Scientist?

AspectPhd In StatisticsData Scientist
Required CredentialsTypically a PhD in Statistics or related fieldOften a bachelor's or master's degree in a quantitative field; some roles prefer a PhD
Work EnvironmentAcademic, research institutions, or specialized analytics teamsCorporate, tech companies, or consulting firms
Industry UsageResearch, academia, government, and industry R&DBusiness analytics, product development, and data-driven decision making
Common Search & ComparisonYesYes

While a Phd In Statistics focuses on advanced research, theoretical development, and academic roles, Data Scientists apply statistical and machine learning techniques to solve practical business problems. Both roles require strong analytical skills, but Data Scientists often work in more applied, industry-focused environments, whereas PhD holders may pursue research or academic careers.

Is a PhD in statistics worth it?

A PhD in statistics can lead to advanced roles in academia, research, data science, and analytics, often requiring strong analytical and programming skills. 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 you 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, statisticians, quantitative analysts, or research scientists, utilizing skills in statistical software, programming, and data interpretation to solve complex problems. These roles typically require strong analytical abilities and knowledge of statistical methods and tools like R, Python, or SAS.
Infographic showing various Phd In Statistics job openings in Colorado as of August 2026, with employment types broken down into 79% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Bayesian Statistician (Data Scientist) - Aurora, CO

ICR, Inc.

Aurora, CO • On-site

$78K - $236K/yr

Full-time

Medical, Retirement, PTO

Re-posted 19 days ago


Job description

Bayesian Statistician (Data Scientist)
Aurora, CO
Applications will be accepted on an ongoing basis.

ICR has opportunities available for experienced and motivated Data Scientists with a Bayesian statistics background.
Essential Job Responsibilities
This Data Scientist will be expected to:
  • Work independently on complex technical tasks that require in-depth data analysis methodologies and data/information collection
  • Develop unique technical solutions for applications in the intelligence field
  • Participate as a member of a multidisciplinary team to analyze and satisfy customer requirements
  • Develop, implement, validate, document, and present findings of specialized analysis software tools and models as required
  • Effectively handle concurrent technical tasks with conflicting priorities
  • Approach difficult problems with enthusiasm and creativity
  • Have the ability to change focus when necessary
  • Travel (up to 10%)

Required Skills and Qualifications
  • Active Top Secret Security Clearance with SSBI and SCI eligibility.
  • Experience with Bayesian statistics and time series analysis
  • Masters Degree in statistics with a minimum of Two (2) years of professional experience or PhD in statistics or related field
  • Experience with computational analysis tools and developing software with at least one of the following programing language: Python (preferred), R, C++, MATLAB
  • Experience with developing and applying advanced statistical/machine learning models and algorithms for one or more of the following: classification, clustering, anomaly detection, density estimation, data mining, pattern recognition, knowledge discovery
  • Experience with extracting and processing structured/unstructured data from various sources (e.g. databases, text files, web) and preparing data for analysis
  • Collaborate with others in a multidisciplinary team environment to accomplish research goals
  • Ability to work effectively in small-team settings to solve complex problems
  • Ability and desire to obtain substantial domain knowledge in fields of application and ability to communicate effectively with subject matter experts
  • Proficient verbal and written communication skills to collaborate effectively in a team environment and present and explain technical information to customers

Desired Qualifications
  • Experience with the intelligence community
  • Broad knowledge of statistical analysis, ML methods, and problem-solving skills
  • Experience with: spatial statistics, multivariate statistics, Gaussian Process, Random Forest, Support Vector Machine, Natural Language Processing, Neural Networks
  • Proficient with Python, Jupyter, Markdown
  • Experience working with databases such as SQL and/or ELK stack
  • Experience with creating data visualizations / dashboards
Salary Range: $90,000 - $210,000
This position offers a comprehensive benefits package that includes company equity, retirement plan, company-paid health care benefits, flexible paid time off policy, and opportunity for a raise and bonus during the year.
ICR, Inc. considers several factors when extending job offers, including but not limited to candidates’ key skills, relevant work and/or military experience, education, training certifications and work location.
ICR is proud to be an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.