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Phd In Statistics Jobs in Colorado (NOW HIRING)

Post-Doctoral Fellow

Aurora, CO · On-site

$49K - $67K/yr

... statistical analyses (Microsoft Excel/PRISM). * Established track record in abstract and manuscript writing/publishing. Preferred Qualifications: * PhD or MD/PhD in the field of virology ...

Senior AI Engineer (Camgian Labs)

Fort Collins, CO · On-site

$104K - $143K/yr

Preferred : • Master's or PhD in aerospace engineering, electrical engineering, computer science, computer engineering, statistics, applied mathematics, or a related field. • Experience with AI ...

Senior AI Engineer (Camgian Labs)

Fort Collins, CO · On-site

$104K - $143K/yr

S. citizenship Preferred : • Master's or PhD in aerospace engineering, electrical engineering, computer science, computer engineering, statistics, applied mathematics, or a related field • ...

Post-Doctoral Fellow

Aurora, CO · On-site

$62K - $75K/yr

Interpretation of experimental results, data and statistical analyses. * Collaborate with mentor ... Minimum Qualifications: • PhD in relevant scientific area such as Biochemistry, Cell Biology ...

Interpretation of experimental results, data and statistical analyses. * Collaborate with mentor ... PhD in relevant scientific area such as Biochemistry, Cell Biology, Molecular Biology, or ...

Engineer V

Englewood, CO · On-site

$105K - $189K/yr

Apply statistical methods and perform mathematical calculations to evaluate strength and dynamic ... Typically requires a bachelors degree, masters degree or PhD in engineering or a related technical ...

A PhD in Physics or Nuclear Engineering (or other related STEM fields). * Radiation transport ... statistical analysis of experimental data. * Strong written and verbal communication skills.

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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.

What can you do with a PhD in statistics?

A PhD in statistics prepares individuals for advanced roles in data analysis, research, and consulting 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 modeling, programming, and data management. The degree also enables careers in academia and research institutions, often requiring proficiency in tools like R, Python, or SAS.

How much can you make with a PhD in statistics?

A PhD in statistics typically leads to high-paying roles such as data scientist, quantitative analyst, or research scientist, with salaries often ranging from $90,000 to over $150,000 annually depending on experience, industry, and location. Advanced skills in programming, statistical software, and data analysis increase earning potential in this field.

Is a PhD in statistics worth it?

A PhD in statistics can lead to advanced roles in research, data science, and academia, 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.

Is AI replacing statisticians?

AI is transforming the role of statisticians by automating routine data analysis tasks and enabling more complex modeling, but it does not replace the need for expert statistical judgment, interpretation, and domain knowledge. Statisticians are increasingly using AI tools and programming languages like R or Python to enhance their work, making their skills still essential in designing studies and ensuring data quality.
What are popular job titles related to Phd In Statistics jobs in Colorado? For Phd In Statistics jobs in Colorado, the most frequently searched job titles are:
Infographic showing various Phd In Statistics job openings in Colorado as of June 2026, with employment types broken down into 93% Full Time, 6% Part Time, and 1% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.
Post-Doctoral Fellow

$49K - $67K/yr

Full-time

Posted 25 days ago


University Of Colorado Boulder rating

8.0

Company rating: 8.0 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

151st of 539 rated colleges and universities


Job description

University of Colorado Anschutz
Department: Medicine, Division of Infectious Diseases
Job Title: Post-Doctoral Fellow
Position #00848987 - Requisition #40154
Job Summary:
A core mission of the Division of Infectious Diseases at the University of Colorado Anschutz Medical Campus is to carry out cutting-edge basic, translational, and clinical research and train the next generation of scientists.
Dr. Eric Poeschla's laboratory investigates cellular proteins involved in viral replication cycles (HIV-1, other positive strand RNA viruses). Current focus is on innate immune system factors that mediate frontline antiviral defenses and prevent cross-species virus transmission. The lab has pioneered new in vivo models of safe innate immune activation. It now has new specific grant funding, starting in June 2026, to work on therapeutically 'reprograming' a cellular antiviral system that senses and responds to viral dsRNA (MDA5) to protect people against known and future unknown viruses. The lab utilizes both murine and cell culture models of infection and/or innate immune activation and conducts research spanning from basic to translational.
The lab is currently seeking a talented and enthusiastic post-doc to build off a newly-funded project aimed at identification and rational design of MDA5 agonists that can be expressed and delivered - in a range of models including cell line, small animal, and respiratory organoid models - to enable pathogen agnostic activation of innate immunity.
Key Responsibilities:
  • Utilize cell line and transgenic mouse models expressing a viral RNA-dependent-RNA-polymerase (RdRp) coupled with immunoprecipitation and high-throughput sequencing to identify self-derived MDA5 ligands. A potential role of MDA5 in causing inflammaging by HIV-1 is also ongoing, using very safe replication-defective viral constructs.
  • Iteratively validate and test antiviral properties and immunogenicity of identified RdRp derived MDA5 ligands in cell lines, organoids and naïve mice.
  • Perform basic cellular, molecular techniques (Western blotting, PCR/qPCR, IHC/IF) and statistical analyses (Microsoft Excel/PRISM/JMP) to supplement experiments.
  • Develop/lead hypothesis driven research independently.
  • Aid in and independently write manuscripts/grants. We want you to publish!
  • Assist with training of junior or new employees/students and with day-to-day lab duties.

Work Location:
Onsite - this role is expected to work onsite and is located in Aurora, CO.
Why Join Us:
The division mission is to carry out cutting-edge scientific research into causation, diagnosis, prevention, treatment, and cure of infectious diseases. The Poeschla lab will provide intensive training, opportunities to interact and network with collaborators across multiple institutions and will provide the opportunity for transition as an independent investigator in academia or industry.
Dr. Poeschla's lab studies compelling virology topics, including roles of cellular antiviral proteins or viral cofactors in the HIV-1 lifecycle, role of MDA5 and Type I Interferons in autoimmunity associated with autoactivation of innate immune pathways and early life immunity. We have an ongoing collaboration to investigate adaptation of SARS-CoV-2 to the human innate immune system. Members of the Poeschla lab engage with, a wide-variety of virology and immunology topics and methods.
Why work for the University?
The University of Colorado offers a comprehensive benefits package. To see what benefits are available for Post-Doctoral Fellows, please visit:
• Payroll & Benefits Orientation for Post-Doctoral Fellows | University of Colorado (cu.edu)
• benefits guide cover-post-doc-2024 (cu.edu)
Qualifications:
Minimum Qualifications:
Applicants must meet minimum qualifications at the time of hire.
  • Graduation from an accredited college or university with a PhD or MD/PhD.
  • Minimum of 4-year(s) experience in research, including the degree years.
  • Experience with basic cellular, molecular techniques (Western blotting, PCR/qPCR, IHC/IF) and statistical analyses (Microsoft Excel/PRISM).
  • Established track record in abstract and manuscript writing/publishing.

Preferred Qualifications:
  • PhD or MD/PhD in the field of virology, microbiology, cell biology, or immunology research.
  • Proven experience and familiarity with the mouse colony maintenance/breeding, mouse dissections, and murine innate or adaptive immunity and procedures to study it.
  • Bioinformatic skills, experience working with RNAseq or other -omics datasets at all levels including experimental design and execution to data-handling and analysis.
  • Experience in mentoring PhD students/laboratory technicians.
  • Independence in experiment design, analysis and manuscript writing.
  • Two or more first author publications originating from degree work.

Knowledge, Skills and Abilities:
  • Excellent communication skills.
  • Proven ability to work independently within a research lab
  • Thriving in a teamwork setting.

How to Apply:
For full consideration, please submit the following document(s):
1. A letter of interest describing relevant job experiences as they relate to listed job qualifications and interest in the position
2. Curriculum vitae / Resume
3. Five professional references including name, address, phone number (mobile number if appropriate), and email addre
Applications are accepted electronically ONLY at www.cu.edu/cu-careers.
Questions should be directed to: Eric Poeschla, PI: eric.poeschla@cuanschutz.edu or James Morrison, Research Scientist and lab manager for Dr. Poeschla: james.morrison@cuanschutz.edu
Screening of Applications Begins:
Immediately and continues until position is filled. For best consideration, apply by July 15, 2026.
Anticipated Pay Range:
The starting salary range (or hiring range) for this position has been established as HIRING RANGE:
NIH Stipend levels:
Postdoctoral Career Level 0: $63,480
Postdoctoral Career Level 1: $63,900
Postdoctoral Career Level 2: $64,380
Postdoctoral Career Level 3: $66,948
The above salary range (or hiring range) represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. This position is not eligible for overtime compensation unless it is non-exempt.
Your total compensation goes beyond the number on your paycheck. The University of Colorado provides generous leave, health plans and retirement contributions that add to your bottom line.
Total Compensation Calculator: http://www.cu.edu/node/153125
Equal Employment Opportunity Statement:
The University of Colorado (CU) is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities.
ADA Statement:
The University will provide reasonable accommodations to applicants with disabilities throughout the employment application process. To request an accommodation pursuant to the Americans with Disabilities Act, please contact the Human Resources ADA Coordinator at hr.adacoordinator@ucdenver.edu.
Background Check Statement:
The University of Colorado Anschutz Medical Campus is dedicated to ensuring a safe and secure environment for our faculty, staff, students and visitors. To assist in achieving that goal, we conduct background investigations for all prospective employees.
Vaccination Statement:
CU Anschutz strongly encourages vaccination against the COVID-19 virus and other vaccine preventable diseases. If you work, visit, or volunteer in healthcare facilities or clinics operated by our affiliated hospital or clinical partners or by CU Anschutz, you will be required to comply with the vaccination and medical surveillance policies of the facilities or clinics where you work, visit, or volunteer, respectively. In addition, if you work in certain research areas or perform certain safety sensitive job duties, you must enroll in the occupational health medical surveillance program.

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