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Statistical Data Jobs (NOW HIRING)

Statistical Data Scientist Job Location: Edison Job Type: Contract * Design, develop, and implement statistical models and machine learning solutions to solve complex business problems. * Apply deep ...

Statistical Programmer II

$107.19K - $138.71K/yr

Statistical programmers work collaboratively with internal colleagues and external vendors to ... Assists in submissions of electronic data (e.g., SAS ® data sets) to regulatory agencies. * Has ...

OR

$107.19K - $138.71K/yr

Statistical programmers work collaboratively with internal colleagues and external vendors to ... Assists in submissions of electronic data (e.g., SAS data sets) to regulatory agencies. * Has ...

Statistical Data Analysis Must-Have Skills: * Strong experience with Microsoft Office tools * Experience analyzing process capability, performance standards, and compliance * Ability to track ...

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Statistical Data information

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 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 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.

More about Statistical Data jobs
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What states have the most Statistical Data jobs? States with the most job openings for Statistical Data jobs include:
Statistical Data Scientist

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago


Job description

Location:  This position may be performed remotely, but requires the flexibility and willingness to travel as needed.

The Opportunity

Praxis is seeking an Associate Director, Statistical Data Scientist to lead and execute the development, validation and automation of analytical pipelines and statistical models that support metadata-driven clinical data processing, reporting, and regulatory submissions. 

This is a hands-on technical leadership role, ideal for a senior data scientist or statistical programmer who enjoys coding, problem-solving, and working cross-functionally to bring rigor, reproducibility, and automation to clinical reporting workflows. 

The Associate Director will contribute directly to R/Python development while also setting technical standards, mentoring peers, and ensuring readiness for R-based regulatory submissions. 

Primary Responsibilities

  • Lead the design, development, and validation of R/Python code to automate generation of analytical datasets and TLFs within a metadata-driven pipeline. 
  • Translate SAPs and metadata specifications (YAML/CSV) into executable and reproducible code. 
  • Build and validate R packages and data science tools supporting both exploratory and confirmatory analyses, ensuring full traceability and audit readiness. 
  • Implement and validate statisticall models (e.g., MMRM, ANCOVA, logistic regression) using R packages such as mmrm, emmeans. 
  • Collaborate with IT to integrate data science and statistical programming workflows within Databricks and CI/CD pipelines for continuous validation and reproducibility 
  • Collaborate across programming, biostatistics, and data standards functions to ensure dataset definitions, derivations, and metadata align with controlled standards. 
  • Conduct peer code reviews, unit testing, and automated validation; ensuring deliverables meet submission-quality and reproducibility standards 
  • Mentor and guide team members in best practices for programming, validation, and automation  

Qualifications and Key Success Factors

  • Bachelor's or Master's degree in Statistics, Biostatistics, Data Science, or a related field. 
  • 8+ years of statistical programming experience in the pharmaceutical/biotech industy including hands-on experience with R and/or Python. 
  • Proven experience preparing or supporting R-based regulatory submissions (e.g., R package validation, R-based analysis delivery, or submission readiness) 
  • Strong understanding of CDISC ADaM and SDTM data structures, and their use in analytical workflows 
  • Experience developing and validating reusable R/Python libraries and functions 
  • Proficiency with Git, Bitbucket, and CI/CD automation pipelines 
  • Working knowledge of GxP and Part 11 compliance 
  • Excellent documentation and validation practices 
  • Collaborative and proactive mindset; able to operate independently in a small, agile team. 

Preferred Experience: 

  • Familiarity with YAML/JSON configuration and metadata-driven programming workflows 
  • Prior experience migrating from SAS to R/Python environments 
  • Knowledge of R validation frameworks (e.g., risk-based testing, reproducibility documentation). 
  • Experience with exploratory analytics or visualization in R or Python within a regulated framework. 

The physical and mental requirements of our roles include but are not limited to regular use of a computer, devices or other office equipment, clear communication, and occasional movement.  You'll need comfort with screen work, basic hand coordination, and focus.  Reasonable accommodations may be made to enable individuals with disabilities to perform these functions.

Compensation & Benefits

At Praxis, we believe that taking care of our people (and their people) is important, so we provide a world class benefits package to help you thrive. This includes 99% of the premium paid for medical, dental and vision plans.  We also provide company-paid life insurance, AD&D, disability benefits, and voluntary plans to personalize your coverage.Thinking about the future? We match dollar-for-dollar up to 6% on eligible 401(k) contributions and sweeten the deal with long-term stock incentives and ESPP. We provide a discretionary quarterly bonus, an extremely flexible wellness benefit, generous PTO, paid holidays and company-wide shutdowns. Not to mention, you'll also be joining a phenomenal crew of colleagues who are smart, engaged and inspiring. We aim high, collaborate hard, and produce results. Let's achieve the impossible together! 

To round out our world-class total rewards package, we provide annualized base salary compensation in the range listed below.  This range reflects the base salary the Company reasonably expects to pay for the position at the time of posting. Placement within the range will be based on job-related factors, including experience, qualifications, scope of responsibilities, and demonstrated track record of delivering results in similar roles.