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Senior Statistical Analyst Jobs in Kentucky (NOW HIRING)

Manage and mentor statistical programmers, analysts, and senior analysts. * Plan resources, track deliverables, and ensure timely completion of programming activities. * Develop and oversee SAS ...

KY ยท On-site

Manage and mentor statistical programmers, analysts, and senior analysts. * Plan resources, track deliverables, and ensure timely completion of programming activities. * Develop and oversee SAS ...

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Senior Statistical Analyst information

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How much do senior statistical analyst jobs pay per year?

As of Aug 22, 2026, the average yearly pay for senior statistical analyst in Kentucky is $85,991.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,600.00 and $92,900.00 per year, depending on experience, location, and employer.

What is a senior statistical analyst?

Senior Statistical Analysts are experienced professionals who use advanced statistical methods to collect, analyze, and interpret complex data sets. They often design experiments, develop predictive models, and provide data-driven insights to support business decision-making. In addition to technical expertise, they may oversee junior analysts, collaborate with other departments, and present findings to stakeholders. Their work helps organizations understand trends, measure performance, and identify opportunities or risks.

How does a senior statistical analyst typically collaborate with cross-functional teams on large projects?

Senior Statistical Analysts often work closely with professionals from departments such as data engineering, product management, and business analytics. They translate complex statistical findings into actionable insights, ensuring that technical results are accessible to non-technical stakeholders. Collaboration may involve regular meetings, joint project planning sessions, and iterative feedback loops to refine analyses based on shifting business priorities. This collaborative environment not only enhances project outcomes but also provides opportunities for professional growth through exposure to diverse perspectives and expertise.

What are the key skills and qualifications needed to thrive as a senior statistical analyst, and why are they important?

To thrive as a Senior Statistical Analyst, you need advanced knowledge of statistical theory, data analysis, and a relevant degree in statistics, mathematics, or a related field. Expertise with statistical software such as SAS, R, Python, and experience with data visualization tools are commonly required, along with certifications like SAS Certified Advanced Analytics Professional. Strong problem-solving abilities, attention to detail, and effective communication skills help you translate complex data into actionable insights. These skills ensure accurate analysis, informed decision-making, and clear communication of findings to stakeholders.

What job categories do people searching Senior Statistical Analyst jobs in Kentucky look for?

The top searched job categories for Senior Statistical Analyst jobs in Kentucky are:

Infographic showing various Senior Statistical Analyst job openings in Kentucky as of August 2026, with employment types broken down into 83% Full Time, 9% Part Time, 7% Contract, and 1% Nights. Highlights an 80% Physical, 9% Hybrid, and 11% Remote job distribution, with an average salary of $85,991 per year, or $41.3 per hour.

Principal Statistical Programmer

Neshent Technologies

Silver Grove, KY โ€ข On-site

Full-time

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

We are seeking an experienced Principal Statistical Programmer to lead statistical programming activities for clinical development programs. The ideal candidate will have strong expertise in SAS programming, CDISC standards, ADaM datasets, TLF development, regulatory submissions, and clinical trial data analysis. This role will provide technical leadership, mentor statistical programmers, and collaborate with cross-functional clinical teams.

Required Skills & Experience
  • Experience leading a team of statistical programmers supporting clinical development programs.
  • Strong proficiency in SAS programming for developing and validating:
    • ADaM datasets
    • Tables, Listings, and Figures (TLFs)
    • Statistical analyses
  • Good knowledge of R programming and other statistical programming languages preferred.
  • Strong understanding of SAS programming concepts and the clinical study lifecycle.
  • In-depth knowledge of CDISC standards (SDTM/ADaM) and regulatory requirements.
  • Experience supporting regulatory filings and submission documentation.
  • Experience working in therapeutic areas such as Oncology, Immunology, Neuroscience, or similar domains.
  • Strong communication and collaboration skills with cross-functional teams.
  • Ability to estimate project programming efforts and manage competing priorities.
Roles and Responsibilities
  • Lead statistical programming activities for assigned compounds, indications, or therapeutic areas.
  • Manage and mentor statistical programmers, analysts, and senior analysts.
  • Plan resources, track deliverables, and ensure timely completion of programming activities.
  • Develop and oversee SAS programs for ADaM dataset creation following CDISC standards.
  • Develop and review SAS programs for Tables, Listings, and Figures (TLFs).
  • Ensure consistency and quality of ADaM datasets across individual studies and integrated analyses.
  • Support regulatory submissions by preparing documentation such as reviewer guides and data definition documents.
  • Develop standard SAS macros, programming standards, and operating procedures.
  • Ensure compliance with quality processes and clinical programming best practices.
  • Collaborate with Statisticians, Clinical Data Management, Medical Writing, Regulatory Publishing, and Clinical Operations teams.
Preferred Qualifications
  • Experience in pharmaceutical, biotechnology, or clinical research environments.
  • Strong knowledge of clinical trial programming and regulatory submission processes.
  • Excellent leadership, problem-solving, and organizational skills.
  • Ability to work effectively in a dynamic, deadline-driven environment.