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Statistics Survival Analysis Jobs (NOW HIRING)

YO AI Labs

Biostatistician Expert - Remote

Dallas, TX · Remote

$60 - $70/hr

Analyze and validate clinical trial data. * Review and interpret Statistical Analysis Plans (SAPs ... Survival analysis, mixed models, covariate adjustment * Multiplicity control & ICH E9(R1)

New

YO AI Labs

Biostatistician Expert - Remote

Seattle, WA · Remote

$60 - $70/hr

Analyze and validate clinical trial data. * Review and interpret Statistical Analysis Plans (SAPs ... Survival analysis, mixed models, covariate adjustment * Multiplicity control & ICH E9(R1)

New

YO AI Labs

Biostatistician Expert - Remote

Boston, MA · Remote

$60 - $70/hr

Analyze and validate clinical trial data. * Review and interpret Statistical Analysis Plans (SAPs ... Survival analysis, mixed models, covariate adjustment * Multiplicity control & ICH E9(R1)

New

YO AI Labs

Biostatistician Expert - Remote

San Jose, CA · Remote

$60 - $70/hr

Analyze and validate clinical trial data. * Review and interpret Statistical Analysis Plans (SAPs ... Survival analysis, mixed models, covariate adjustment * Multiplicity control & ICH E9(R1)

New

YO AI Labs

Biostatistician Expert - Remote

Houston, TX · Remote

$60 - $70/hr

Analyze and validate clinical trial data. * Review and interpret Statistical Analysis Plans (SAPs ... Survival analysis, mixed models, covariate adjustment * Multiplicity control & ICH E9(R1)

New

YO AI Labs

Biostatistician Expert - Remote

Seattle, WA · Remote

$60 - $70/hr

Analyze and validate clinical trial data. * Review and interpret Statistical Analysis Plans (SAPs ... Survival analysis, mixed models, covariate adjustment * Multiplicity control & ICH E9(R1)

New

YO AI Labs

Biostatistician Expert - Remote

Phoenix, AZ · Remote

$60 - $70/hr

Analyze and validate clinical trial data. * Review and interpret Statistical Analysis Plans (SAPs ... Survival analysis, mixed models, covariate adjustment * Multiplicity control & ICH E9(R1)

New

YO AI Labs

Biostatistician Expert - Remote

Austin, TX · Remote

$60 - $70/hr

Analyze and validate clinical trial data. * Review and interpret Statistical Analysis Plans (SAPs ... Survival analysis, mixed models, covariate adjustment * Multiplicity control & ICH E9(R1)

New

micro1 AI

Director of Biostatistics

Brockton, MA · Remote

$60 - $65/hr

Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies ...

micro1 AI

Director of Biostatistics

Lubbock, TX · Remote

$60 - $65/hr

Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies ...

micro1 AI

Director of Biostatistics

Tyler, TX · Remote

$60 - $65/hr

Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies ...

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Statistics Survival Analysis information

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$34K

$82.6K

$136K

How much do statistics survival analysis jobs pay per year?

As of Aug 12, 2026, the average yearly pay for statistics survival analysis in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is statistics survival analysis?

Statistics survival analysis is a branch of statistics that focuses on analyzing the expected duration of time until one or more events happen, such as death, failure, or relapse. It is commonly used in clinical trials, reliability engineering, and social sciences to estimate survival rates and compare different groups. The analysis accounts for censored data, which occurs when the outcome event has not been observed for some subjects during the study period. Techniques like Kaplan-Meier estimates and Cox proportional hazards models are frequently used in survival analysis.

What are some common challenges faced by professionals working in survival analysis, and how can they be addressed?

Professionals in survival analysis often encounter challenges such as handling censored data, selecting appropriate statistical models, and interpreting results for non-statistical audiences. Addressing these challenges typically involves a strong understanding of statistical theory, using specialized software (like R or SAS), and collaborating closely with domain experts to ensure contextual accuracy. Regular training, peer review, and participation in interdisciplinary teams also help to overcome technical and communication barriers, making it easier to deliver actionable insights from survival analysis projects.

What is the difference between Statistics Survival Analysis vs Data Analyst?

AspectStatistics Survival AnalysisData Analyst
Required CredentialsDegree in Statistics, Mathematics, or related field; certifications like SAS or RDegree in Data Science, Statistics, or related field; proficiency in Excel, SQL, and visualization tools
Work EnvironmentResearch settings, healthcare, insurance, academiaBusiness, finance, marketing, technology companies
Industry UsageAnalyzing time-to-event data, survival rates, hazard functionsData cleaning, reporting, trend analysis, dashboards

Statistics Survival Analysis focuses on modeling and analyzing time-to-event data, often in research or healthcare contexts. Data Analysts handle broader data tasks like cleaning, visualization, and reporting across various industries. While both roles require strong analytical skills, Survival Analysis specialists typically have advanced statistical training specific to time-dependent data, whereas Data Analysts focus on interpreting data for business insights.

What are the key skills and qualifications needed to thrive as a professional specializing in statistics survival analysis?

To thrive in Statistics Survival Analysis, you need a strong background in statistics, mathematics, and experience with survival models, typically supported by a degree in statistics, biostatistics, or a related field. Proficiency with statistical software such as R, SAS, or Python, and familiarity with specialized packages like 'survival' or 'lifelines,' is essential. Strong analytical thinking, attention to detail, and effective communication skills make someone stand out in this role. These skills and qualities are vital for accurate data interpretation, designing robust studies, and clearly conveying findings to multidisciplinary teams.
More about Statistics Survival Analysis jobs
What cities are hiring for Statistics Survival Analysis jobs? Cities with the most Statistics Survival Analysis job openings:
What states have the most Statistics Survival Analysis jobs? States with the most job openings for Statistics Survival Analysis jobs include:
What job categories do people searching Statistics Survival Analysis jobs look for? The top searched job categories for Statistics Survival Analysis jobs are:
Statistics Survival Analysis jobs near you
Infographic showing various Statistics Survival Analysis job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Biostatistician Expert - Remote

YO AI Labs

Dallas, TX • Remote

$60 - $70/hr

Full-time

Posted yesterday

New

Job description

Job Title: Biostatistician

Location: Remote
Job Type: Contractor
Pay: $60–$65/hour

Job Overview

We are looking for an experienced Biostatistician to support clinical research projects by analyzing clinical trial data, validating statistical outputs, and ensuring compliance with regulatory standards.

Key Responsibilities

  • Analyze and validate clinical trial data.

  • Review and interpret Statistical Analysis Plans (SAPs).

  • Produce and quality-check Tables, Figures & Listings (TFLs).

  • Review Clinical Study Reports (CSRs) and regulatory submission data.

  • Perform statistical analyses using SAS and/or R.

  • Collaborate with cross-functional teams and document findings accurately.

Required Skills

  • SAS and/or R

  • CDISC SDTM & ADaM

  • SAP interpretation

  • Survival analysis, mixed models, covariate adjustment

  • Multiplicity control & ICH E9(R1)

  • Clinical trial data analysis

  • TFL production & QC

  • Regulatory submissions & CSR review

  • Strong documentation, communication, and analytical skills

Qualifications

  • 5+ years of Biostatistics experience in clinical trials (Sponsor, CRO, or Academic Research).

  • MSc or PhD in Biostatistics, Statistics, or a related field.

  • Experience with regulatory submissions and statistical quality control is preferred.