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Statistical Scientist Jobs (NOW HIRING)

American Heart Association

Statistical Analyst

Dallas, TX · On-site

$75K - $85K/yr

Responsibilities We are seeking a data science analyst/ biostatistician to use data science tools ... Conduct statistical analysis using clinical registry and electronic health record (EHR) data to ...

American Heart Association

Statistical Analyst

Dallas, TX · On-site +1

$75K - $85K/yr

We are seeking a data science analyst/ biostatistician to use data science tools and methodologies ... Conduct statistical analysis using clinical registry and electronic health record (EHR) data to ...

American Heart Association

Statistical Analyst

Dallas, TX · On-site +1

$75K - $85K/yr

Responsibilities We are seeking a data science analyst/ biostatistician to use data science tools ... Conduct statistical analysis using clinical registry and electronic health record (EHR) data to ...

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How much do statistical scientist jobs pay per year?

As of Jul 11, 2026, the average yearly pay for statistical scientist in the United States is $85,539.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $111,500.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

As a statistical scientist or data scientist, starting a career at 40 is feasible, as the field values skills, experience, and continuous learning. Many professionals transition into data science later in life by acquiring relevant skills such as programming, statistics, and machine learning through courses or certifications. Age is less important than your ability to adapt and develop expertise in data analysis tools like Python or R.

How does a Statistical Scientist typically collaborate with cross-functional teams in a research or corporate environment?

Statistical Scientists regularly work alongside colleagues from diverse backgrounds such as data engineering, software development, product management, and subject matter experts. Their role often involves translating complex statistical analyses into actionable insights for non-technical stakeholders, ensuring that data-driven recommendations are clearly understood and implemented. Effective communication and teamwork are crucial, as Statistical Scientists may participate in interdisciplinary meetings, provide guidance on experimental design, and contribute to strategic decision-making based on statistical evidence.

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

To thrive as a Statistical Scientist, you need advanced knowledge of statistics, data analysis, and mathematical modeling, often supported by a degree in statistics, mathematics, or a related field. Proficiency in statistical software such as R, SAS, or Python, and familiarity with data visualization platforms are typically required. Strong problem-solving abilities, critical thinking, and effective communication skills help distinguish top performers in this role. These competencies are crucial for accurately analyzing complex data, conveying findings clearly, and supporting informed decision-making in research or business environments.

Is AI replacing statisticians?

AI is transforming the role of statistical scientists by automating data analysis tasks and enabling more complex modeling, but it does not replace the need for human expertise in designing studies, interpreting results, and making strategic decisions. Statisticians are increasingly using AI tools and programming languages like R and Python to enhance their work. The profession continues to evolve, emphasizing skills in data management, statistical theory, and machine learning.

What is the difference between Statistical Scientist vs Data Analyst?

AspectStatistical ScientistData Analyst
Required CredentialsMaster's or PhD in Statistics, Mathematics, or related fieldBachelor's or Master's in Statistics, Data Science, or related field
Work EnvironmentResearch-focused, often in R&D or academia, but also in industryBusiness or operational settings, focusing on data reporting and visualization
Employer & Industry UsageTech, healthcare, finance, research institutionsRetail, marketing, finance, healthcare

While both roles analyze data, Statistical Scientists focus on developing new statistical methods and models, often working on complex research projects. Data Analysts primarily interpret existing data to generate reports and insights for business decisions. The roles overlap in skills and tools but differ in scope and depth of statistical expertise.

What does a statistical scientist do?

A statistical scientist analyzes data to identify patterns, develop models, and inform decision-making across various fields. They use statistical software and programming languages like R or Python and often collaborate with other teams to interpret results and support research or business strategies.

What are Statistical Scientists?

Statistical Scientists are professionals who specialize in using statistical methods to collect, analyze, and interpret data. They design experiments, develop data models, and apply mathematical theories to solve real-world problems across various industries, including healthcare, finance, technology, and government. Their work helps organizations make informed decisions, identify trends, and develop predictive insights. Statistical Scientists often work closely with data scientists, researchers, and subject matter experts to ensure that data-driven conclusions are accurate and actionable.

Are statisticians highly paid?

Statisticians, including statistical scientists, tend to have competitive salaries due to their specialized skills in data analysis, modeling, and programming. Salaries vary by industry, experience, and location, but they are generally considered well-paid compared to many other professions in the sciences and analytics fields.
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Statistical Scientist jobs near you
Research Statistician (Scientist 2/3)

Research Statistician (Scientist 2/3)

Los Alamos National Laboratory

Los Alamos, NM • On-site

Full-time

Re-posted 13 days ago

Los Alamos National Laboratory rating

9.2

Company rating: 9.2 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

8th of 105 rated laboratories

Job description

Job Summary:
Los Alamos National Laboratory is a multidisciplinary research institution engaged in strategic science on behalf of national security. The role involves developing innovative statistical solutions for complex interdisciplinary problems and collaborating with scientists across various domains to advance science and support national security missions.
Responsibilities:
• Contributing to innovation in statistical methodology
• Advancing basic and applied science through rigorous statistical modeling
• Participating in professional activities, including peer-reviewed publications, presentations, and service to the statistics community
• Taking a larger role in project development, leadership, and mentoring at the Scientist 3 level
• Conducting statistical research, contributing to advancements in the field of statistics that are motivated by real-world applications
• Thriving in a collaborative environment, displaying strong interpersonal skills and facility to work cross-functionally to answer complex questions in challenging domains
• Demonstrating effective written and oral communication skills with diverse collaborators and audiences
• Using strong statistical computing skills including experience using software for advanced statistical analysis
Qualifications:
Required:
• Expert knowledge and proven experience in statistics and data science methods, including the theoretical and mathematical framework and an ability to apply principles and techniques for application-driven problem-solving.
• Demonstrated ability to conduct statistical research, contributing to advancements in the field of statistics that are motivated by real-world applications.
• Demonstrated ability to thrive in a collaborative environment, displaying strong interpersonal skills and facility to work cross-functionally to answer complex questions in challenging domains.
• Effective written and oral communication skills with diverse collaborators and audiences.
• Strong statistical computing skills including experience using software for advanced statistical analysis (e.g., R, MATLAB, Python, Julia).
• On-the-job experience beyond Ph.D. and postdoctoral training.
• Experience planning, directing, and executing technical projects, demonstrating leadership, independence, and accountability.
• A substantial record of achievement through publications, presentations, or technical products.
• Positions requires a Bachelor's degree in a STEM field from an accredited college and university and 4 years of related experience, typically with post-doctoral research experience at a university or national lab or equivalent experience directly related to the occupation.
• Position requires a Master's degree in a STEM field from an accredited college or university and 6 years of relevant experience or an equivalent combination of education and experience directly related to the occupation.
Preferred:
• PhD in Statistics or closely related field is very strongly desired.
• Experience developing collaborative research proposals.
• History of professional engagement such as through peer review and service to the field of statistics.
• Demonstrated scientific accomplishment and expertise in one or more technical areas of the group.
• Experience with statistical applications in the physical and engineering sciences.
• Familiarity with scientific computing (e.g., C/C++, Python) or high-performance computing.
Company:
Los Alamos National Laboratory, a multidisciplinary research institution engaged in strategic science on behalf of national security, is Founded in 1943, the company is headquartered in Los Alamos, USA, with a team of 10001+ employees. The company is currently Late Stage.

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