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Statistical Scientist Jobs (NOW HIRING)

61 Premier Research Poland Sp. z.o.o

NY

Premier Research is looking for a Statistical Scientist Director to join our Biostatistics team. You will help biotech, medtech, and specialty pharma companies transform life‑changing ideas and ...

Premier Research

Statistical Scientist Director

$186K/yr

Premier Research is looking for a Statistical Scientist Director to join our Biostatistics team. You will help biotech, medtech, and specialty pharma companies transform life-changing ideas and ...

Premier Research

NY

Premier Research is looking for a Statistical Scientist Director to join our Biostatistics team. You will help biotech, medtech, and specialty pharma companies transform life‑changing ideas and ...

Exponent

Statistical Scientist (Ph.D.)

Bellevue, WA · On-site

The Statistical Scientist will work within the Data Sciences Practice, focusing on data collection, management, visualization, and inferential analysis, while also applying risk analysis ...

Exponent Inc.

Statistical Scientist (Ph.D.)

Bellevue, WA · On-site

$133K - $150K/yr

Key statistics: * 950+ Consultants * 640+ Ph.D.s * 90+ Disciplines * 30+ Offices globally Our Opportunity We are currently seeking a Statistical Scientist for our Data Sciences Practice to be based ...

61 Premier Research Poland Sp. z.o.o

NY

61 Premier Research Poland Sp. z.o.o is seeking a Statistical Scientist Director to lead statistical strategies on complex client studies. The role involves ensuring alignment of design, analyses ...

AstraZeneca

Statistical Science Director

Wilmington, DE · On-site

PhD in Statistics Join the team unlocking the power of what science can do. We are working towards treating, preventing, modifying and even curing some of the world's most complex diseases. Here we ...

AstraZeneca

Statistical Science Director

Wilmington, DE · On-site

PhD in Statistics Join the team unlocking the power of what science can do. We are working towards treating, preventing, modifying and even curing some of the world's most complex diseases. Here we ...

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Statistical Scientist information

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$33K

$85.5K

$140.5K

How much do statistical scientist jobs pay per year?

As of Jul 10, 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

Statistical Scientist Director

61 Premier Research Poland Sp. z.o.o

NY

Full-time

Posted 15 days ago

Job description

Premier Research is looking for a Statistical Scientist Director to join our Biostatistics team. You will help biotech, medtech, and specialty pharma companies transform life‑changing ideas and breakthrough science into new medicines, devices, and diagnostics. What we do is profoundly connected to saving and improving lives, and we recognize our team members are the most valuable asset in delivering success. We are here to help you grow, to give you the skills and opportunities to excel at work with the flexibility and balance your life requires. Your ideas influence the way we work, and your voice matters here. As an essential part of our team, you help us deliver the medical innovation that patients are desperate for. Join us and build your future here.

What You’ll Be Doing:
  • Serve as lead statistician on complex, key client studies, acting as point‑of‑contact, ensuring cohesive communication with sponsors and internal teams, and leading project‑level statistical strategy from protocol/SAP planning through reporting, ensuring alignment of design, analyses, and data interpretation.
  • Communicate complex quantitative concepts clearly to non‑statistical stakeholders—including sponsor leadership, regulatory representatives, and clinical teams.
  • Develop sample size estimation, modeling approaches, adaptive or Bayesian frameworks, and innovative trial designs.
  • Develop or provide senior oversight for statistical deliverables, including: statistical selection of protocols, statistical analysis plans (SAPs), randomization specifications and statistical contributions to CSRs, publications, and regulatory documents.
  • Identify risks related to study design, sample size, or analysis approaches and proactively propose mitigation strategies.
  • Act as project manager for biostatistics stand‑alone work and drive high‑quality statistical deliverables while managing budget, scope, and timeline expectations.
  • Advise clients on regulatory guidelines, statistical principles for submissions, and global expectations (FDA, EMA, PMDA, etc.).
  • Support business development through participation in bid defenses, capabilities presentations, RFP strategy and build trusted scientific relationships with sponsors and influence decision‑making through evidence‑based recommendations.
  • Act as an independent biostatistician on DSMBs and DMCs.
What We Are Searching For:
  • Advanced degree (MS or PhD) from accredited college or university in statistics or closely related field; equivalent combination of education, training and experience will be considered.
  • 15+ years’ experience in clinical trials design and analysis, preferably in a CRO environment.
  • At least 1 yr technical experience in clinical trials design and analysis implementing innovative statistical analysis.
  • Previous experience implementing innovative statistical designs.
  • Strong knowledge of regulatory, scientific, technical and clinical expertise in conduct of clinical trials in the respective area of focus as demonstrated by past positions related to the therapeutic area in the CRO and Pharma/Biotech sector.
  • Strong computer skills, with knowledge of advanced programming skills with standard software, including SAS, R.
  • Excellent working knowledge of CDISC standards and application of these standards to projects.
  • Ability to manage and de‑escalate difficult situations with clients, teams, and management.
  • Demonstrated experience in interacting with regulatory agencies (e.g., FDA, EMA, EU member states).
  • Excellent English and Host Country communication skills (verbal, written & interpersonal).
  • Excellent organizational and time‑management skills, able to prioritize work to handle multiple tasks and meet deadlines in a dynamic environment.
  • A willingness to travel, ~20%.
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