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Statistical Data Jobs (NOW HIRING)

AstraZeneca

Director, Statistical Programming

Waltham, MA · On-site

$168K - $253K/yr

Advanced SAS programming skills in a clinical and statistical data environment * Demonstrated programming leadership capability with ability to develop teams and individuals and lead them towards a ...

AstraZeneca

Director, Statistical Programming

Waltham, MA · On-site

$168K - $253K/yr

Advanced SAS programming skills in a clinical and statistical data environment * Demonstrated programming leadership capability with ability to develop teams and individuals and lead them towards a ...

University Health

Quality Data Analyst

San Antonio, TX · On-site

$22.10 - $38.25/hr

... of various data sources in support of analytic-driven projects. Provides technical and ... Will focus on developing products that utilize and integrate various analytical and statistical ...

University Health

Quality Data Analyst

San Antonio, TX

$22.10 - $38.25/hr

... of various data sources in support of analytic-driven projects. Provides technical and ... Will focus on developing products that utilize and integrate various analytical and statistical ...

Brown University Health

Data Analyst

Providence, RI · On-site

$23.11 - $38.16/hr

Maintains statistics and other training and education related reports. Acts as liaison person ... Project manages file data conversionnterface between multiple database applications and hospital ...

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Statistical Data information

Is statistician a high paying job?

Statisticians typically earn higher-than-average salaries compared to many other professions, especially with advanced degrees and experience. The median annual wage in many regions exceeds national averages, and roles often require strong analytical skills and proficiency with statistical software. Salary levels can vary based on industry, location, and level of expertise.

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

To thrive as a Statistical Data Analyst, you need strong quantitative skills, expertise in statistics, and a relevant degree such as mathematics, statistics, or data science. Proficiency with tools like R, Python, SQL, and statistical software (e.g., SPSS, SAS) as well as data visualization platforms is typically required. Critical thinking, attention to detail, and effective communication skills help analysts interpret data accurately and share insights with stakeholders. These competencies ensure reliable data analysis, support evidence-based decisions, and drive organizational success.

What are some common challenges faced by professionals working in statistical data roles, and how can they be addressed?

Professionals in statistical data roles often encounter challenges such as managing large, complex datasets, ensuring data quality, and effectively communicating statistical findings to non-technical stakeholders. Dealing with incomplete or inconsistent data is common, and requires strong analytical and problem-solving skills to clean and validate information. Collaborating closely with cross-functional teams, staying updated on the latest statistical software, and developing clear data visualization skills can help address these challenges and enhance the impact of your work.

What careers deal with statistics?

Careers that deal with statistics include roles such as statistician, data analyst, data scientist, biostatistician, and market researcher. These jobs involve analyzing data, creating models, and interpreting results using tools like statistical software and programming languages such as R or Python.

Is AI replacing statisticians?

AI is transforming the role of statisticians by automating data analysis tasks and enabling more complex modeling, but it does not fully replace the need for human expertise in interpreting results and designing studies. Statisticians with skills in programming, statistical software, and machine learning remain essential for ensuring accurate and meaningful insights from data. The profession continues to evolve alongside advancements in AI and data science tools.

What is the difference between Statistical Data vs Data Analyst?

AspectStatistical DataData Analyst
Required CredentialsNone specific; often involves understanding data collectionBachelor's degree in statistics, data science, or related field
Work EnvironmentData collection, storage, and management environmentsAnalyzing data, creating reports, and visualizations
Industry UsageUsed across industries for data collection and storageApplied in business, finance, healthcare, and more for insights
Search & Comparison IntentUnderstanding raw data types and sourcesComparing roles focused on data analysis and interpretation

Statistical Data refers to raw or processed data used for analysis, while Data Analyst is a professional role that interprets and visualizes this data to support decision-making. Both are integral to data-driven industries but serve different functions within the data lifecycle.

What are statistical data analysts?

Statistical data analysts are professionals who collect, process, and interpret quantitative data to help organizations make informed decisions. They use statistical techniques and software tools to analyze datasets, identify trends, and solve problems. Their work is crucial in fields such as business, healthcare, government, and research, where data-driven insights are essential. Statistical data analysts often present their findings in reports or visualizations to guide strategic planning.

What does a data statistician do?

A data statistician analyzes and interprets complex data sets to help organizations make informed decisions. They design experiments, develop statistical models, and use tools like R or SAS to identify trends and patterns, often working in research, finance, or healthcare environments.
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Statistical Data jobs near you
Director, Statistical Programming

Director, Statistical Programming

AstraZeneca

Waltham, MA • On-site

$168K - $253K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago

AstraZeneca rating

8.4

Company rating: 8.4 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

18th of 74 rated pharmaceutical

Job description

Are you an experienced Manager and Leader in Statistical Programming with a deep knowledge of clinical drug development and line management experience? Would you like to be part of a fast-paced and agile global team that has a direct strategic impact on drug development, empowered and trusted to innovate and experiment? Join us at AstraZeneca Oncology Biometrics to impact a wide range of engaging projects striving to make a difference for millions of patients. Our Biometrics team consists of Statisticians, Programmers and Information Scientists. We drive and contribute to optimized clinical drug development programs and access to information and scientific knowledge management.
We are now offering an exciting opportunity for a dedicated and highly motivated individual to join us in the role as Statistical Programming Director, providing strategic programming leadership and line management within Onc Biometrics and collaborating with global product development teams.
Accountabilities:
This position will work in the Early Oncology Programming group and will be accountable for a large and diverse portfolio of products that cover phase 1 / 2 trials in various mechanisms of action and covering multiple indications within oncology. You will be responsible for managing and mentoring a group of programmers who are in turn accountable for efficient delivery on studies that are both outsourced and delivered internally, ensuring high-quality of deliverables while complying with AZ and industry standards, SOPs and GxP requirements. You will also be part of the larger programming leadership team within oncology programming, and responsible for various activities beyond clinical trials, such as proving strategic or SME contributions on cross-functional teams to deliver continuous improvement, innovation, and automation solutions.
Essential Skills/Experience:
  • Minimum bachelor's degree in mathematics (e.g., Applied Math, Engineering, etc), Statistics, Computer Science, Life Science, Public Health or equivalent experience

  • Minimum 10 years of experience with advanced knowledge of the clinical development process and industry standards

  • 7+ years people and or project management experience

  • Advanced SAS programming skills in a clinical and statistical data environment

  • Demonstrated programming leadership capability with ability to develop teams and individuals and lead them towards a common goal

  • Demonstrated influencing, planning and organizational skills

  • Ability to provide input to functional strategies

  • Strong project management skills and experience with scope management, resource management, financial management, project planning and resource allocation

  • Significant experience in leadership capacity with a focus on identifying, leading, and advancing talent.

  • Experience working in a clinical development organization with a heavy emphasis on support of multiple, ongoing projects

  • Thorough understanding of pharmaceutical clinical development (i.e. understanding of statistical concepts, techniques, and clinical trial principles) and ability to manage and lead regulatory submissions.

  • Thorough understanding of industry standards such as CDISC and 21CFR Part 11.

  • Strong ability to solve problems, recommend process improvements, and execute process improvements.

  • Ability to lead and influence teams

  • Excellent verbal and written communication skills in a global environment.

  • Proven ability to work with cross functional teams, specifically Data Management, Biostatistics, Epidemiology, Clinical Operations, and Pharmacovigilance to initiate, lead and execute new initiatives and process improvements.

  • Recognize behaviors that align with our values critical to the success of our employees, mission, and business objectives.

Desirable Skills/Experience:
  • Broad experience, ideally across multiple therapeutic areas and outside of the field of Statistical Programming

  • Previous oncology experience, ideally in both heme and solid tumor

  • Knowledge / experience using open source and/or AI in Statistical Programming

  • Experience in regulatory submissions and interactions

  • Demonstrated experience designing and implementing business processes

  • Willingness and ability to travel

The annual base pay (or hourly rate of compensation) for this position ranges from $168,830.40 - $253,245.60 USD. Our positions offer eligibility for various incentives-an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles. Benefits offered include qualified retirement programs, paid time off (i.e., vacation, holiday, and leaves), as well as health, dental, and vision coverage in accordance with the terms of the applicable plans.
AstraZeneca is an equal opportunity employer that is committed to diversity and inclusion and providing a workplace that is free from discrimination. AstraZeneca is committed to accommodating persons with disabilities. Such accommodation is available on request in respect of all aspects of the recruitment, assessment and selection process and may be requested by emailing AZCHumanResources@astrazeneca.com(opens in new window).
Why AstraZeneca:Here, ambitious science meets real-world impact. You will work in an environment that pairs cutting-edge platforms-multi-omics, single-cell and spatial technologies, AI/ML, and advanced imaging-with a pipeline that moves decisively from discovery to the clinic. We bring diverse specialists together to ask bold questions, pressure-test ideas, and accelerate progress against some of the hardest-to-treat cancers, valuing kindness alongside ambition so you can stretch your skills while making a tangible difference for patients.
Date Posted
17-Jun-2026
Closing Date
16-Jul-2026
Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.

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