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Statistics Survival Analysis Jobs (NOW HIRING)

Experiences in worldwide submission, in particular, PMDA in Japan providing statistical analysis for ad hoc requests Strong statistical training, in particular, survival analysis Leadership ...

... survival analysis, meta-analysis, indirect treatment comparisons, issues related to missing data ... background in statistics * Scientific visibility in terms of authorship of peer-reviewed ...

Bachelor's degree in Biostatistics or Statistics and 5+ years of experience in analysis of data ... Strong applied statistical skills, including survival analysis and regression modeling Advanced ...

Research Scientist

New York, NY ยท On-site

$120K - $210K/yr

... survival analysis, multi-modal learning, causal inference and interpretability. * Translate machine learning and statistics papers into production-ready code. * Build robust model evaluation ...

Perform advanced statistical analyses, including multivariable modeling, survival analysis, longitudinal analysis, and machine-learning and AI methods (e.g., neural networks, SVM). * Provide expert ...

Perform advanced statistical analyses, including multivariable modeling, survival analysis, longitudinal analysis, and machine-learning and AI methods (e.g., neural networks, SVM). * Provide expert ...

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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 Jun 14, 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, and why are they important?

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:
Infographic showing various Statistics Survival Analysis job openings in the United States as of June 2026, with employment types broken down into 7% Full Time, and 93% Part Time. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Statistician

Contractor

Posted 26 days ago


Job description

Company Description

Artech is the 10th Largest IT Staffing Company in the US, according to Staffing Industry Analysts' 2012 annual report. Artech provides technical expertise to fill gaps in clients' immediate skill-sets availability, deliver emerging technology skill-sets, refresh existing skill base, allow for flexibility in project planning and execution phases, and provide budgeting/financial flexibility by offering contingent labor as a variable cost.

Job Description

At least 5 years of pharmaceutical experience at Ph.D. level (or 8 years at MS level ) in biostatistics, statistics and epidemiology

Excellent communication skills (verbal and written)

Good team player

Advanced level in SAS but not looking for a SAS programmer. Looking for a senior level statistician who is advanced in SAS programming.

Additional Skills

Extensive experiences in phase III trials, in particular, CV trials, for example familiar with statistical analysis plan, clinical study report, database, analysis data sets and statistical programming specification.

Experiences in worldwide submission, in particular, PMDA in Japan providing statistical analysis for ad hoc requests

Strong statistical training, in particular, survival analysis

Leadership (establish priorities and objectives, implement actions and plans and always look for solutions independently)

Proactive communication with project team members.

Preferably some oncology experience


Additional Information

Best Regards,

Anuj Mehta

973-967-3402





Artech logo

About Artech

Sourced by ZipRecruiter

Artech is a leading IT staffing and consulting company based in Morristown, NJ, US. Since its foundation in 1992, Artech has mastered in complementing human expertise with technology and business acumen to produce world-class staffing solutions. The company caters to diverse industry sectors, including financial services, healthcare, telecommunication, energy and utilities, supply chain, and retail. It provides IT consulting, project management, professional and staff augmentation, and managed staffing services. Artech's mission is to provide exceptional IT staffing services to its clients by comprehending their business needs and then crafting a customized staffing strategy. Its notable achievement includes being recognized as one of the largest IT staffing companies in the U.S, according to Staffing Industry Analysts (SIA).

Industry

Recruiting and staffing services

Company size

10,000+ Employees

Headquarters location

Morristown, NJ, US

Year founded

1992