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Senior Statistical Analyst Jobs (NOW HIRING)

What You'll Do You will lead statistical genetics analyses of primarily population-scale genomics data to inform decisions about new business opportunities and advance internal development programs.

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How much do senior statistical analyst jobs pay per year?

As of Sep 12, 2026, the average yearly pay for senior statistical analyst in the United States is $99,008.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,000.00 and $107,000.00 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.
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Infographic showing various Senior Statistical Analyst job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 88% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 80% Physical, 7% Hybrid, and 13% Remote job distribution, with an average salary of $99,008 per year, or $47.6 per hour.

Statistical Programmer II

Remote

Cognitive Research Corporation
Scientific Research and Development Services • 11 - 50 employees

Full-time

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


Job description

Statistical Programmers (SAS) are responsible for creating and validating statistical programs, including datasets and outputs, following CRC procedures. These positions generate accurate, complete, and consistent outputs by transforming raw clinical trial data into datasets, analyzing data, and providing Tables, Listings, and Figures (TLFs) while ensuring deliverables that meet projected timelines. The positions will regularly collaborate with clinical operations and data management teams, as well as external partners and clients. The Senior Statistical Programmer provides experienced technical expertise to plan, track, and coordinate programming deliveries and the development of integrated programming solutions serving the full spectrum of statistical programming needs, as well as provide technical expertise and leadership to the department, liaise with other functions to complete projects and provide guidance, mentorship, and technical oversight.
Essential Duties & Responsibilities
  • Develop, validate, and document SDTM and ADaM datasets, as well as tables, listings, and figures (TLFs) in accordance with statistical analysis plans, CDISC standards, regulatory requirements, and internal SOPs. Maintain clear traceability and ensure audit‑readiness across all deliverables.
  • Support and independently contribute to study programming activities, including ownership of assigned domains or workstreams. Lead programming tasks for smaller studies or sub‑studies under guidance from senior or lead programmers, ensuring timely, consistent, and high‑quality outputs.
  • Collaborate effectively with cross‑functional study teams-including statisticians, data managers, programmers, and project managers-to ensure efficient communication, issue resolution, and delivery of programming components. Communicate progress, risks, and technical issues clearly in both written and verbal form.
  • Perform independent validation and quality control, including review of datasets, TLFs, programming specifications, and CDISC define.xml components. Assist in QC of define packages and contribute to submission‑related documentation.
  • Troubleshoot and resolve complex data and programming issues with minimal oversight, proposing appropriate solutions and ensuring consistent application of standards and best practices throughout the programming workflow.
  • Contribute to process improvements through the development, enhancement, or maintenance of standard macros, tools, and templates, while mentoring or supporting junior programmers in standards, methods, and validation practices.
  • Participate in data structure and study setup activities, including review of annotated case report forms and database design, ensuring alignment with downstream SDTM, ADaM, and analysis needs.

Qualifications
  • Bachelor's or Master's degree in Statistics, Biostatistics, Computer Science, Mathematics, or a related scientific discipline; or a combination of education, training and experience to effectively perform the job functions.
  • Statistical programming experience within the pharmaceutical, biotech, or CRO industry, preferred; experience in CNS trials helpful.
  • 2 to 5 years experience with SAS programming, preferred.
  • Knowledge of SAS functionality & procedures.
  • Technical knowledge and experience with SDTM, ADaM, CDISC controlled terminology desirable.
  • Excellent communication skills (oral and written).
  • Strong time management skills and the ability to work under tight deadlines.
  • Excellent organizational skills.
  • Able to work as part of a team or independently as needed.
  • Experience working effectively & efficiently from a remote location is desirable.
  • Able to adhere to standard operating procedures.
  • High attention to detail, with a focus on quality, reproducibility, and traceability in all deliverables (analysis datasets and output.
  • Comfortable working across functional teams (e.g., clinical, data management, biostatistics, medical writing).
  • Ability to travel <10%.

Department Biostatistics Role Statistical Programmer Locations Remote, US Remote status Fully Remote Employment type Full-time